We formed Tidal for one simple reason — we believe that defenders need and deserve tools and services that make achieving the benefits of threat-informed defense practical and sustainable

Tidal Cyber

With the proliferation of data privacy challenges, a shift underway with geopolitics, increased levels of cyber-attacks and a tidal-wave of technology-based investment, what is the future of trust in our new economy? How will the internet now evolve? Over the last ten years, platforms have emerged from the success of big-tech who now dominate entire industries — think Airbnb, Amazon, Netflix and Google. Platforms connect buyers and sellers creating economies of scale on both the demand and supply side creating a fly-wheel based growth engine. For any business, one of the reasons to want a platform is for control. The alternative is to accept a growing portfolio of technology that doesn’t work together and can’t be re-used leading to increased operating costs and lower agility. A platform brings with it both opportunities and challenges — none more pressing than that of trust. For a company with a platform, apart from the apprehension business units may have in losing control, there is also an element of concentration risk, i.e. even with the best (and most expensive) defence in place, no system is foolproof, and the impact of a breach for an organisation could be catastrophic. Regulatory penalties and the reputational damage of a substantial breach are the most apparent impacts, but even failing to comply with regulations when there has been no breach, can be costly. With the next generation platform, security and compliance are probably the most obvious challenges, but there are others. The proprietary and centrally controlled platforms today need to be replaced with decentralized, open ones; trusted parties replaced with verifiable computation; and inefficient monolithic services replaced with peer-to-peer algorithmic markets. Six areas of abundant opportunity Think about a business that provides access to their data for another company to provide a service. Or the employee that needs to access an external system to perform their role. In these cases, there are assumptions made that relate to trust, as contracts and the law can only go so far. What’s overarching is the trust we have in the company providing access to the system however, this is becoming less ideal as company lifespans are reducing with 99.9% not reaching the age of 50. The following opportunities will help the platform provider redefine expectations of trust. Brand and reputation alone will no longer suffice. As Bitcoin has with currency we need to re-think the paradigm altogether. : It’s hard or impossible to prove adherence to personal information regulations or provide assurance about the state and history of system configuration. Audit and compliance : It is difficult (and takes too long) to prove that data is tamper-free. Data security and integrity : Identifying who has access to what, at any given point of time, can be time-consuming and often inconclusive. Identity and access management : Getting customers to trust your vendors the same way they trust you can hamper your ability to sell. Vendor and reputation management : It is difficult to verify the authenticity of data before it is used, otherwise, there can be uncertainty with your applications and their related results. Proving authenticity : Creating an immutable record and basis to manage incentives associated with the use, contribution and storage of data on a platform. Incentive management Addressing each of these will reduce friction making business easier. Less emphasis is required by lawyers to manage the inherent risks, and there’s likely to be better alignment between growth, technology adoption, risk management and regulation. Blockchain as part of the solution A is a decentralised electronic ledger — a set of records available to all parties on the ledger which is immutable, i.e. cannot be changed, only added to. Any additions to the ledger have to be agreed by all parties using a mathematical proof and everyone can inspect the ledger. There is no assumed trust or faith that the records are correct; they are proven to be accurate by computation by multiple independent parties. blockchain This ability to make records immutable made the use of blockchain attractive to crypto-currencies such as Bitcoin, but more and more non-financial applications of blockchains are being discovered and most importantly, applied. Platforms and the application of blockchain Audit and compliance Paper-based records provide a good audit trail by design, but electronic ones must be built to keep a trail. A poor design that does not cater for resilience, corruption or a malicious action could mean records are lost or were never logged in the first place. Writing electronic transactions from the platform to a blockchain means that the records are not only resilient (all parties have a copy) but that they are tamper-proof. A policy of writing all personally identifiable (PI) related transactions (but not the PI data itself) to a blockchain will help ensure your organisation is compliant with PI regulations. Data security and integrity With the increasing reliance on cloud and the powerful tooling it provides, there is an inherent risk that a rogue actor tries to cover their tracks after malicious activity (such as trying to disable the PI compliance checks or stealing data). Logging all configuration settings and changes to them to a blockchain will ensure that there is a clear audit trail of the activities carried out and who undertook them. Identity and access management Governing the administration of digital identities, entitlements and the assignment of entitlements to identities is central to any platform, but governance often takes the form of a periodic manual check that is both error-prone and delayed. In principle, maintaining identity and entitlements in the blockchain provides a tamper-proof mechanism to ensure identities can only access resources based on their entitlements (which can be inspected at any time and any changes are visible). In practice, identities shouldn’t be stored in a decentralized ledger since this may constitute a PI breach in its own right — but a ‘pointer’ to an identity can be stored, and the concept of self-sovereign identities makes this possible since only the user has control over their identity record (similar in concept to a physical passport but the passport number can be validated). Vendor and reputation management Companies increasingly need to resell services provided by third-party vendors. For large enterprises, they may be putting their reputation at stake and customers may be uncomfortable receiving services from someone other than their usual trusted supplier. Writing vendor information, results of their compliance checks, accreditation and reviews on the blockchain will ensure customers can easily and directly verify what they’re getting without the need for an intermediary.Counterparty risk is inherent in contract execution and usually depends on a third party to arbitrate when things don’t go as planned. Digital organisations will often need to coordinate across multiple suppliers before a customer can accept the terms of the agreement (which usually pushes the risk to the customer). Smart contracts permit trusted transactions and agreements to be carried out among disparate, anonymous parties without the need for a central authority. Using the blockchain to track the acceptance of terms by a customer can enable a set of smart contracts to be executed with various suppliers at the point of acceptance. As a useful risk management tool, smart contracts remove trust from the transaction and guarantee that the contracts will be executed as stipulated. Proving the authenticity of external data Financial data is a natural fit for Blockchain. Data once written to blockchain cannot be altered without causing collision. This ensures that the transactions are inherently tamper-proof. No proprietary techniques or methodology is required to achieve high security which makes blockchain a preferred technology. In the older way of doing things, paper receipts were used. The risk of unnoticed modification in paper receipts is comparably low, because of their physical nature. network In contrast, electronic files cannot be observed physically and hence are vulnerable. This introduces the necessity for proving the authenticity of the file to then integrate the result as part of a blockchain to ensure the smart contracts can be trusted end-to-end. Incentive management Blockchains offer us an alternative to a central authority for managing application specific currencies. Anything we can prove with a smart contract can be used to exchange the currency for provable actions, like transferring a file. There are four areas where the use of an application specific currency may be useful: User engagement — a currency used by suppliers to promote their application or content where the user gets a share of the revenue for their attention. Proof of replication — proving that those storing data have done so correctly — i.e. they are rewarded for the storage they are providing along with proofs but are penalised if they skip the proof (by losing part of their collateral) and not rewarded for their storage. Reputation management — a currency used to increment the reputation of a supplier post a transaction for a good/service in exchange for an incentive. The next generation platform Blockchain has proven effective in solving many problems associated with centralization; the canonical example being Bitcoin. Over the last couple of years, a range of applications have emerged with similar missions — to use mathematical proofs and techniques of decentralization to provide a system that can be trusted — 100%. Trust works both ways though, and with greater inherent levels of trust, the risk profile and related investment for all participants is lower. Thanks to Louis Strauss , Jothi Rengaraj, Shariq Khwaja and Wayne Jenkins for their thoughts and contribution to this article.

Blockchain, trust and the next generation platform

Join us in an enlightening conversation with Brendan Playford, the visionary founder of Masa, as part of our "Behind the Startup" series. Brendan shares his fascinating journey from an early cryptocurrency enthusiast to leading a pioneering startup aimed at transforming how personal data is owned, controlled, and monetized in the age of AI. Discover the inspiration behind Masa and its mission to challenge the current paradigms of data consumption and privacy. : Delve into how Masa is setting a new standard for data usage and privacy in the digital age. Decentralizing Data: Brendan Playford's Quest with Masa Ishan Pandey: Hi Brendan, great to have you here for our "Behind the Startup" series. Please tell us about your background and what inspired you to create Masa? Brendan Playford: I became fascinated with crypto and blockchain technology in early 2013, while still living in the UK. I was an early Bitcoin miner, and got lucky solo mining the first blocks of DOGE. I used the proceeds to set up retail hardware businesses selling Bitcoin miners on eBay. Coming from a disadvantaged part of the UK with just a GPU and some time, I was able to unlock more value than I could imagine. I was hooked and saw that the future was open accessible technology for everyone - crypto delivers this. Masa started as a decentralized credit protocol, solving for increased access to credit. After seeing a bigger opportunity in transforming the current surveillance capitalism paradigm, where our data is monetized wholesale without our consent, Masa evolved into becoming the world’s personal data network. Where users can own their data and can realize the full value of it.  After seeing the rise of AI, we quickly realized that people all over the world are having their data and contributions on the internet scrapped and used to train models that drive billion dollar businesses, yet all of us receive no compensation for our data or contributions – we are changing that at Masa. Ishan Pandey: Can you give us an overview of Masa and its mission in building the world's largest decentralized personal data network? Brendan Playford: At Masa, we’re changing the way that data is sourced, aggregated, and consumed in the age of AI. Today’s personal data — from browsing history, app usage, your scroll time, to Twitter messages, emails, and more — is locked up in walled gardens, controlled by big tech. Our every action is tracked and monetized. Our personal data is resold under the guise of ‘consent’ upon using a platform, but not with a clear choice or understanding of how our data is being used or monetized. Users remain the product. Today this data landgrab is accelerated by the proliferation of AI with personal data consumed in vast amounts to train AI models and agents. With Masa, we’re on a mission to drive a new paradigm and bring a new permissionless data layer to the world. Where data is owned by all participants –  giving users the holy grail of self-sovereignty – complete control and the ability to monetize their data. Masa sits in the background and aggregates your massive digital footprint, making it private and secure for when you want to monetize it. This is a trillion dollar global opportunity with an unfathomably large market of billions of users. Anyone with an internet connection will be able understand their data footprint, and will be able to actively contribute their data and earn passive rewards. Users decide what data to share and with whom. Developers utilize Masa Network’s data to build data driven applications, grow their user bases with targeted analytics, train LLMS and AI agents, power decentralized advertising, and more. Ishan Pandey: How does Masa differentiate itself from traditional data platforms and other decentralized data exchanges? Brendan Playford:  Masa is unique in that we specialize in user data that is typically siloed in big tech institutions. This comprises billions of detailed behavioral data points that accurately represent a user's digital persona. This personal user data is  the most valuable form of data, and is consumed in high volume user analytics, segmentation, audience creation, advertising and most critically training unbiased artificial-intelligence models on trustworthy data. Masa’s data is unique and proprietary – not scraped publicly available data or aggregated on-chain data. Masa’s data which is private by default and anonymized to be compliant with global regulations and is aggregated through partners and permissioned directly from users participating in the Masa Network. Further, users can become data aggregators themselves by scraping data through the Masa Chrome Extension. Masa is distinct and unique by giving users the ability to store and share their data privately while giving developers the ability to access high veracity and validated data to build a universe of innovative and hyper-personalized applications. For example, imagine AI agents trained on your preferences, behaviors, browsing and social behavior – your digital twin ready to help support you with your personal choices and productivity. Ishan Pandey: Could you explain the concept of Zero-Knowledge Soulbound Tokens (zkSBTs) and how they function within the Masa ecosystem? Brendan Playford: Masa invented zero-knowledge soulbound tokens, as debuted in the 2023 7th Cyber Security in Networking Conference. zkSBTs serve as an encrypted “personal data locker” for our users' data. With zkSBTs, a user can actively store their personal data on-chain and off-chain data in an encrypted soulbound token which is assigned to their digital identity. What’s so unique  about Masa’s zkSBTs is that a developer or application can request data from a user which can be verified without ever revealing the underlying data. For example, if a developer is requesting you to confirm you are above the age of 21, Masa only needs to provide a "yes" or "no" zero-knowledge proof without revealing your raw Date of Birth data to the developer. It’s a way for users to manage their own data, while ensuring the highest-level of privacy in a permissionless and fully decentralized way. Anyone is free to use our code and contribute – it's all open source! Ishan Pandey: Could you discuss the business model of Masa, particularly how it generates revenue and sustains its operations? Brendan Playford: The Masa Network is a data marketplace. We have a scalable data supply that drives a massive flywheel across multiple enterprise clients serving millions of users. Additionally, users are able to permission their data to be shared with developers or data buyers in exchange for compensation that is defined by the buyer or user of the data. Our enterprise web3 clients access aggregate user data for free through our Masa Analytics product – think private by default Google Analytics where you (the user) can monetize your data. Our web2 and web3 AI and Data clients bid on data types and use large amounts of data to train AI and machine learning models. The use cases for Masa’s data are mind-boggling and only limited by creativity. Masa generates revenue on fees charged for accessing data through the Masa Network – Masa Subnet and Masa Oracle Node – and from the data marketplace. Ishan Pandey: What challenges did you face during the development and growth of Masa, and how did you overcome them? Brendan Playford: From technical complexity to the bear market – there has been no shortage of challenges getting Masa to where it is – and this is only the start of a 20+ year vision. At Masa we turn every challenge into an opportunity. We focused on recruiting top talent and operating lean, while keeping focused so we can unlock hyper velocity to experiment and learn fast by rapid iteration at a velocity of a team twice or three times as big – this is our culture and DNA. Since we’ve invented so much technology at Masa, including zkSBTs, we had to build and engineer our own solutions, which required a lot of discipline and expertise to ship fast to production
By taking this focused – never scared to pivot approach –  Masa grew tremendously through the bear market. Nailing data product market fit with our analytics product, and growth campaigns – tightly coupling the grow, measure, iterate cycle for our clients and productizing the Masa DNA into our product for clients to use. Ishan Pandey: How do you envision the future of personal data ownership and privacy? Also with the increasing regulatory scrutiny on data privacy and AI, how does Masa navigate compliance and ensure ethical data practices? Brendan Playford: The increasing regulatory scrutiny on data privacy with the deprecation of cookies and GDPR becoming the de facto standard globally, coupled with the unbounded growth of AI, is the perfect storm of tailwinds for Masa – not only was this part of what inspired our model but the hypothesis we had is playing out before our eyes. Since users have very limited control over their data and receive no compensation for it, we wanted to introduce a model that disrupted the big tech monopoly on data – bringing trusted equitable access to data to everyone! At Masa, user data is always stored private-by-default – imagine a digital locker that is with you everywhere gobbling up all of your data ready for when you want to use it – Masa ensures a user maintains control and privacy over their data at all times. This allows them to choose what data they share and who they share it with. Users can opt-in selectively to monetize their data or in the same way you can invest in a diverse pool of ETF in your IRA, invest your data automatically in the best data staking pools to optimize the return on your data passively. Imagine an index for your data – a transparent and open data market for everyone. In the future, you will benefit from the massive value creation in AI model training as huge volumes of data are consumed to train the leading LLMs. These companies already generating billions of dollars will go on to generate trillions of dollars of revenue through AI interfaces embedded in every interface we interact with – Masa will be the data layer powering this new trillion dollar economy. Ishan Pandey: With the rise of decentralized finance (DeFi) and blockchain technology, how do you think financial systems and services will transform in the future, and what opportunities does this present for Masa? Brendan Playford: In the future, I believe that blockchain will become the de facto system of record for the world's private by default personal data. The web3 and AI tidal wave will lead to billions of users coming on-chain, all securing their data footprint on Masa. With  AI revolutionizing  the world, companies will continue to create massive demand for personal user data as model differentiation becomes increasingly difficult and data becomes the main differentiator for model tuning. This presents a trillion dollar opportunity for Masa, as we scale to secure over 50% of all web3 user data and beyond over the next 3-years. Don’t forget to like and share the story! This author is an independent contributor publishing via our brand-as-author program. Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure:

Unlocking the Future of Data: Brendan Playford's Revolutionary Vision with Masa

ডেটার ভবিষ্যত আনলক করা: মাসার সাথে ব্রেন্ডন প্লেফোর্ডের বিপ্লবী দৃষ্টি

Die Zukunft der Daten erschließen: Brendan Playfords revolutionäre Vision mit Masa

Liberando el futuro de los datos: la visión revolucionaria de Brendan Playford con Masa

Ouvrir l'avenir des données : la vision révolutionnaire de Brendan Playford avec Masa

डेटा के भविष्य को खोलना: मासा के साथ ब्रेंडन प्लेफोर्ड का क्रांतिकारी दृष्टिकोण

データの未来を拓く: ブレンダン・プレイフォードとマサの革命的ビジョン

데이터의 미래 개척: Masa와 함께하는 Brendan Playford의 혁명적인 비전

Desbloqueando o futuro dos dados: a visão revolucionária de Brendan Playford com Masa

Открывая будущее данных: революционное видение Брендана Плейфорда и Маса

Verinin Geleceğinin Kilidini Açmak: Brendan Playford'un Masa ile Devrimci Vizyonu

Mở khóa tương lai của dữ liệu: Tầm nhìn mang tính cách mạng của Brendan Playford với Masa

解锁数据的未来：Brendan Playford 与 Masa 的革命性愿景

Let's learn about via these 50 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Whatsapp /Learn Repo 1. How to Design a Splash Screen With Expo and React Native You have made a great app and of course, why not publish it right? But then you open your expo app and see the default boring splash screen provided by Expo. 2. Guide: How to Install WhatsApp On Amazon Fire Tablet This article demonstrates multiple ways of using WhatsApp on Firestick and Fire Tablet. Read until the end to master the tips and tricks 3. Creating a WhatsApp bot Using NodeJs, Repl.it and Twilio API This post is a prerequisite for an upcoming post. Here I’ll be creating a Whatsapp echo bot using Twilio and Nodejs. I’ll be making use of Repl.it so as to save myself from the burden of going through the environmental setup. 4. Modify and Reply To Deleted WhatsApp Texts [A How-To Guide] A while back I was playing around with a chrome extension that allows you to restore deleted messages on WhatsApp web. 5. Is WhatsApp Safe? WhatsApp is the most popular messenger owned by Facebook. According to the official stats, the number of WhatsApp active users has reached 1 billion in 2020. Just imagine, approximately 65 million messages are sent via this social app daily.  Since the app is so popular, it’s very attractive for hackers. In this article, I’ll tell you about the major WhatsApp security threats, which will help you protect your chats and shared media from hackers, WhatsApp spy apps, and keylogging software. 6. 2 Ways to Access WhatsApp Conversations In this article, you'll find the best ways to hack WhatsApp chats including syncing the app with the web version or exporting a txt file of the chat. 7. For My Dad, I Automated Bulk WhatsApp Messaging using Python - Here's How So, this Whatsapp just irritates my dad. 8. Exploiting Covert Channels in WhatsApp and Other Android Messenger Apps Covert communication channels are rampant in messenger applications and here is one example... 9. Take ChatGPT With You: Introducing Ariana, the ChatGPT Assistant That Lives in WhatsApp Meet Ariana, a ChatGPT AI assistant living in WhatsApp, providing instant answers, translations, and idea generation. 10. Understanding WhatsApp Architecture WhatsApp is one of the most used platforms for messaging. Information is sent immediately, which is why more websites use it for communicating with their users. 11. The Facebook Outage Proved a Need for Greater Decentralization With the internet become more and more vulnerable to outages and crashes, will the answer to more stability come in the form of more decentralisation? 12. The Noonification: The Murder in A 22 (10/22/2022) 10/22/2022: Top 5 stories on the Hackernoon homepage! 13. 5 Common Use Cases of a WhatsApp Chatbot A WhatsApp bot is an automated conversational tool that you integrate on WhatsApp using WhatsApp Business API. Read our article about uses of a WhatsApp chatbot 14. The Noonification: The Last of Us HBO Series; The Nth of Many (9/29/2022) 9/29/2022: Top 5 stories on the Hackernoon homepage! 15. 8 Ways You Can Use WhatsApp to Improve Customer Service Check out how brands can leverage WhatsApp for customer service and improve customer communication through WhatsApp Business API. 16. Have U Been Pwned? Elon Musk's social media company has suffered a data breach. The result? Nearly 200 million email addresses are now up for grabs. 17. Top 5 Video Chat Apps of 2020 The world has been evolving ever since its inception. There is no doubt that Generation-Z (1997-2012) has witnessed many changes. These changes were related especially with the advancement of science and technology. The concept of video calling dates back to the year 1910, and back then it was termed as video telephony. So, the concept is pretty antiquated, but with time innovation played its part and kept it looking contemporary. Having said that, we’ll now look at the options we have when it comes to video calling. 18. Build a WhatsApp Chatbot With Python, Flask, and Messagebird Tutorial, about building a chatbot using the Messagebird API for WhatsApp and the Flask framework for Python. 19. What is Eventual Consistency and How Do You Deal with It? Eventually consistency is a fancy name of doing something and only expecting the changed state after a while. But it won't work well with caching. 20. Tech Companies Take a Stand: UK's Online Safety Bill Risks a Total Wipeout of Secure Messaging Apps With secure messaging apps willing to cease operations, UK's attempt to fight cybercrime with its Online Safety Bill has sparked the encryption debate again. 21. How To Build a WhatsApp Clone in React Native: Beginner’s Guide [Part 2] A Non-Comparable WhatsApp Clone made using react-native (Expo) and Firebase 22. The Biggest Problems with WhatsApp's Privacy Practices A new report now claims that Whatsapp messages are not end-to-end encrypted. 23. I Automated My Whatsapp Chats on Android and Here's How You Can Too Android Accessibility Service to Alter the Way You Use Your Mobile 24. Is WhatsApp Safe for Texting and Video Calls? Can someone hack WhatsApp texts or calls? How safe is WhatsApp? Is End-to-End encryption enough? Should you switch to Instagram, Facebook, Telegram or Skype? 25. How to Make Whatsapp Clone in React Native: A Beginner’s Guide [Part 1] How I made a WhatsApp Clone using react-native (Expo) and FireBase. 26. Insecure by Design: As Millions Flock to Telegram, 7 Reasons to Question the App's Privacy Claims Telegram is not the gold-standard for secure messaging that it paints itself to be. Here are 7 reasons why. 27. How do You Hack Whatsapp Chats? - 7 Vulnerabilities Explained You can Hack WhatsApp chats by syncing the web version of the app, exporting chat logs, using POCWAPP,  WhatsAPP Scan Pro, spoofing, and spy apps. 28. How to Lock WhatsApp Using Your Face or Fingerprint on iOS or Android? Are you living in a house with kids? Do you often face a situation where you are using your phone and kids suddenly snatch it from your hands and start playing games? You are quite fine with it but when it comes to being compromised with your message’s security on WhatsApp, you do not want them to read your private messages. Thankfully, now you are no more required to keep phones away from your kids and worry about your privacy. How? 29. WhatsApp End-to-End Encryption: What it is and How to Use it WhatsApp introduced end-to-end encryption in their mobile and web version. The WhatsApp end-to-end encryption ensures that the user chats, images, documents, and videos all are secured. And no one other than the authorized user can see them. 30. Alternatives to WhatsApp: Five Messaging Apps to Consider Instead of WhatsApp People have been switching from WhatsApp to other messaging apps; for a good reason. Here are five new apps taking the place of WhatsApp now in the tech space. 31. Is The Future Of Encryption On The Line? In a world where encryption of our messaging apps is at stake, is there a solution that works? Aside from the traditional WhatsApp and Signal, there's Usecrypt. 32. Great News: WhatsApp Finally Let’s You Text Yourself Great news: WhatsApp released a new update that allow's users text themselves. 33. iMessage Not Working? [SOLVED] - Here's How to Fix It iMessage not working? Here is the list to fix and troubleshoot issues like bad connectivity issues, synchronization with macOS, red exclamation mark, and more. 34. Voice Notes as Consolation for the Fundamental Loneliness of Being Voice notes remove the expensive encoding and decoding of words to
text, while retaining the benefits of asynchronous communication. 35. When Messenger Apps Adopt Fintech: Privacy Issues and Implications There are many ways in which the world is divided up: borders, differing cultures, and even vast masses of water serve to partition the globe. Preference per region for Messenger apps is one of the less initially visible ways this is done. 36. Telegram VS WhatsApp VS Utopia You can get confused in a wide variety of different messengers. Some apps offer versatility, others a user-friendly interface and others guarantee the privacy and security of users. 37. How to Develop a Messaging App like WhatsApp: Your Handy Guide WhatsApp, Facebook Messenger, and We Chat apps do not require any introduction. These messaging apps have become more popular than social media, and many entrepreneurs want to capitalize on their popularity. However, it is quite a task to make any new instant messaging app like WhatsApp successful because of intense competition. Let’s go through five formulas to make your messaging app capable of standing firm against the giants. 38. How the adoption of blockchain technology will evolve: an Interview with Harjyot Singh This article talks about decentralization and trustless layer with no intermediary control and China actions on cryptocurrency. 39. Facebook, WhatsApp, and Your Privacy: What You Need to Know Seated at computers in pods organized by work assignments, these hourly workers use special Facebook software to sift through millions of private messages 40. When End-to-End Encryption and Open Source Come Together in a Messaging Platform Recently, WhatsApp updated its privacy policy. This event, along with the ongoing discussions on privacy concerns about the online platforms we used every day, created interest in fields of privacy and security and migration to other messaging platforms such as Signal. 41. WhatsApp Users Hit 2 Billion: What Does This Mean for the Future of Privacy? There are now over 2 billion registered users on the mobile messaging platform, up from 1.5 billion in 2017. 42. Signal Vs. WhatsApp Vs. Utopia: Who Is The Obvious Winner? The 21st century is the age of technology and the Internet. Today, the whole world is online. We are increasingly moving all our business to the Internet space. It is the place where we work, communicate, order food, pay for purchases, watch movies and listen to music. 43. Telegram VS WhatsApp: An Honest Comparison Telegram and WhatsApp are two popular instant messaging apps known to app users all over the globe. Read a honest comparison of both apps from an app user. 44. 14 Things I Wish I Knew Before Becoming a Software Engineer A Q&A for students with a Facebook software engineer 45. How to Build a Music Recognition Chatbot on WhatsApp Using Node.js Application example using Node.js where a simple chatbot will be implemented on the WhatsApp for music recognition. 46. Helpful Strategies to Combat WhatsApp Security Threats In the previous year, a security flaw was found in the WhatsApp desktop version. It allowed cyber-crooks to push malware or deploy codes by using harmless messages. 47. Encryption vs. Surveillance in Hong Kong The Hong Kong national security law created a series of provisions that restrict the flow of information and suppress the civil unrest within the region. In the short term, this new law has had a profound impact on the business landscape, creating a series of winners who seek to expand their share in the local marketplace. In the long term, it will reform the technology landscape in Hong Kong for years to come 48. How to Serve Millions of Free Video Calls Using The STUN Protocol Recently, WhatsApp updated its privacy policy. This event, along with the ongoing discussions on privacy concerns about the online platforms we used every day, created interest in fields of privacy and security and migration to other messaging platforms such as Signal. 49. Privacy Communities: Blockchain-Based Networks Rise After the Breakdown of Tech Giants Online communication is undergoing a tidal shift as various groups and communities seek to relocate to more secure blockchain messaging platforms. 50. WhatsApp Lets You Ghost Your Group Chats Silently Meta has announced new privacy features for WhatsApp users. Zuckerberg claims these features will help keep WhatsApp messaging private and secure. Thank you for checking out the 50 most read stories about Whatsapp on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

50 Stories To Learn About Whatsapp

GALAPAGOS ARCHIPELAGO

Systems Interoperability Types: The Conclusion to Our Tertiary Study

BAHIA BLANCA

This is paper is available on arxiv under CC 4.0 DEED license. Authors: (1) Leah Chrestien, Czech Technical University in Prague; (2) Tomá˘s Pevný, Czech Technical University in Prague, and Gen Digital, Inc.; (3) Stefan Edelkamp, Czech Technical University in Prague; (4) Antonín Komenda, Czech Technical University in Prague. Table of Links Abstract & Introduction Preliminaries Conditions on strictly optimally efficient heuristic Loss functions Related Work Experiments Conclusion and References Appendix 7 Conclusion The motivation of this paper stemmed from the observation that even the cost-to-goal, considered to be an optimal heuristic, fails to guarantee a strictly optimally efficient search. Since a large body of existing research optimizes this quantity, we are effectively lost with respect to what should be optimized. To fill this gap, we have stated the necessary and sufficient conditions guaranteeing the forward search to be strictly optimally efficient. These conditions show that the absolute value of the heuristic is not important, but that the ranking of states in the Open list is what controls the efficiency. Ranking can be optimized by minimizing the ranking loss functions, but its concrete implementation needs to correspond to a variant of the forward search. In case of mismatch, the resulting heuristic can perform poorly, which has been demonstrated when the heuristic optimized for BGFS search was used with A* search. The other benefit of ranking losses is that from the point of view of statistical learning theory, they solve a simpler problem than ubiquitous regression in estimating the cost-to-goal. We do not question the existence of a strictly optimally efficient heuristic. 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Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal: Conclusion and References

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