Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 1.1 Background 1.1 Background 1.2 Motivation 1.2 Motivation 1.3 Our Work and Contributions and 1.4 Organization 1.3 Our Work and Contributions and 1.4 Organization Related Work
2.1 Mobile AIGC and Its QoE Modeling
2.2 Blockchain for Mobile Networks


Preliminaries


Prosecutor Design
4.1 Architecture Overview
4.2 Reputation Roll-up
4.3 Duplex Transfer Channel


OS2a: Objective Service Assessment for Mobile AIGC
5.1 Inspiration from DCM
5.2 Objective Quality of the Service Process
5.3 Subjective Experience of AIGC Outputs


OS2A on Prosecutor: Two-Phase Interaction for Mobile AIGC
6.1 MASP Selection by Reputation
6.2 Contract Theoretic Payment Scheme


Implementation and Evaluation
7.1 Implementation and Experimental Setup
7.2 Prosecutor Performance Evaluation
7.3 Investigation of Functional Goals
7.4 Security Analysis


Conclusion and References Related Work
2.1 Mobile AIGC and Its QoE Modeling
2.2 Blockchain for Mobile Networks Related Work 2.1 Mobile AIGC and Its QoE Modeling 2.1 Mobile AIGC and Its QoE Modeling 2.2 Blockchain for Mobile Networks 2.2 Blockchain for Mobile Networks Preliminaries Preliminaries Preliminaries Prosecutor Design
4.1 Architecture Overview
4.2 Reputation Roll-up
4.3 Duplex Transfer Channel Prosecutor Design 4.1 Architecture Overview 4.1 Architecture Overview 4.2 Reputation Roll-up 4.2 Reputation Roll-up 4.3 Duplex Transfer Channel 4.3 Duplex Transfer Channel OS2a: Objective Service Assessment for Mobile AIGC
5.1 Inspiration from DCM
5.2 Objective Quality of the Service Process
5.3 Subjective Experience of AIGC Outputs OS2a: Objective Service Assessment for Mobile AIGC OS2a: Objective Service Assessment for Mobile AIGC 5.1 Inspiration from DCM 5.1 Inspiration from DCM 5.2 Objective Quality of the Service Process 5.2 Objective Quality of the Service Process 5.3 Subjective Experience of AIGC Outputs 5.3 Subjective Experience of AIGC Outputs OS2A on Prosecutor: Two-Phase Interaction for Mobile AIGC
6.1 MASP Selection by Reputation
6.2 Contract Theoretic Payment Scheme OS2A on Prosecutor: Two-Phase Interaction for Mobile AIGC 6.1 MASP Selection by Reputation 6.1 MASP Selection by Reputation 6.2 Contract Theoretic Payment Scheme 6.2 Contract Theoretic Payment Scheme Implementation and Evaluation
7.1 Implementation and Experimental Setup
7.2 Prosecutor Performance Evaluation
7.3 Investigation of Functional Goals
7.4 Security Analysis Implementation and Evaluation 7.1 Implementation and Experimental Setup 7.1 Implementation and Experimental Setup 7.2 Prosecutor Performance Evaluation 7.2 Prosecutor Performance Evaluation 7.3 Investigation of Functional Goals 7.3 Investigation of Functional Goals 7.4 Security Analysis 7.4 Security Analysis Conclusion and References Conclusion and References Conclusion and References 7 IMPLEMENTATION AND EVALUATION In this section, we elaborate on the implementation and evaluation. Firstly, we demonstrate the implementation of ProSecutor system. Then, we conduct extensive experiments to validate the architectural superiority of ProSecutor and prove that ProSecutor can effectively achieve all the design goals. 7.1 Implementation and Experimental Setup Implementation. We implement the prototype of ProSecutor atop BlockEmulator[4], which is an open-source repository for building customized blockchain systems. Specifically, we extend BlockEmulator by implementing the reputation roll-up and duplex transfer channels illustrated in Section 4. Afterward, we deploy the OS2A framework, reputation-based MASP selection, and contract theoretic payment scheme on ProSecutor. Implementation BlockEmulator Testbed. To construct the mobile AIGC market, we build an eight-node ProSecutor cluster. The MASPs are served by Apple MacBook Pro with one 2.3 GHz 8-Core Intel Core i9 CPU and AMD Radeon Pro 5500M GPU. The mobile AIGC inferences are supported by Draw Things, an iOSoriented text-to-image AIGC application based on Stable Diffusion model. To fully simulate the real-world scenario we feed ProSecutor with one million historical Ethereum transactions in 2022. Finally, the baseline is the original version of BlockEmulator, which reproduces the traditional blockchain architecture, such as Bitcoin and Ethereum. Testbed Draw Things Stable Diffusion Questions. Through the experiments, we intend to answer the following research questions: Questions • Can reputation roll-up and duplex and transfer channels reduce the blockchain overhead, making ProSecutor adapt to the mobile environment (for G1)? G1 • Can ProSecutor, with the OS2A framework and mechanisms deployed on it, effectively realize all the functional goals, i.e., efficient MASP selection, payment scheme optimization, and atomic fee-ownership transfer (for G2, G3, G4)? G2, G3, G4 • Can ProSecutor defend the attacks and threats in the mobile AIGC, e.g., forking ledgers, forging reputation, and breaking transfers? Authors:
(1) Yinqiu Liu, School of Computer Science and Engineering, Nanyang Technological University, Singapore (yinqiu001@e.ntu.edu.sg);
(2) Hongyang Du, School of Computer Science and Engineering, Nanyang Technological University, Singapore (hongyang001@e.ntu.edu.sg);
(3) Dusit Niyato, School of Computer Science and Engineering, Nanyang Technological University, Singapore (dniyato@ntu.edu.sg);
(4) Jiawen Kang, School of Automation, Guangdong University of Technology, China (kavinkang@gdut.edu.cn);
(5) Zehui Xiong, Pillar of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore (zehuixiong@sutd.edu.sg);
(6) Abbas Jamalipour, School of Electrical and Information Engineering, University of Sydney, Australia (a.jamalipour@ieee.org);
(7) Xuemin (Sherman) Shen, Department of Electrical and Computer Engineering, University of Waterloo, Canada (sshen@uwaterloo.ca). Authors: Authors: (1) Yinqiu Liu, School of Computer Science and Engineering, Nanyang Technological University, Singapore (yinqiu001@e.ntu.edu.sg); (2) Hongyang Du, School of Computer Science and Engineering, Nanyang Technological University, Singapore (hongyang001@e.ntu.edu.sg); (3) Dusit Niyato, School of Computer Science and Engineering, Nanyang Technological University, Singapore (dniyato@ntu.edu.sg); (4) Jiawen Kang, School of Automation, Guangdong University of Technology, China (kavinkang@gdut.edu.cn); (5) Zehui Xiong, Pillar of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore (zehuixiong@sutd.edu.sg); (6) Abbas Jamalipour, School of Electrical and Information Engineering, University of Sydney, Australia (a.jamalipour@ieee.org); (7) Xuemin (Sherman) Shen, Department of Electrical and Computer Engineering, University of Waterloo, Canada (sshen@uwaterloo.ca). This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv available on arxiv [4] https://www.blockemulator.com/

Part of HackerNoon's growing list of open-source research papers, promoting free access to academic material.

Bitcoin

Apple

Intel

Cutting Blockchain Costs with Reputation Rollup

How OS2A Uses Smart Contracts to Incentivize Mobile AIGC Providers

EScholar Technologies

Too Long; Didn't Read

CTA: Download the FREE AI Productivity Shift report

How ProSecutor Was Built and Tested

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

Untitled Story

Smart Cards, IPv6 Packets, and the Future of Post-Quantum Security

Mobile AIGC Gets a Security Upgrade with ProSecutor

Protecting AI-Generated Content in Mobile Environments with ProSecutor

Measuring Mobile AIGC Quality Without User Studies or Sensors

Lightweight Blockchain Solutions for Mobile Environments

Smart Cards, IPv6 Packets, and the Future of Post-Quantum Security

Mobile AIGC Gets a Security Upgrade with ProSecutor

Protecting AI-Generated Content in Mobile Environments with ProSecutor

Measuring Mobile AIGC Quality Without User Studies or Sensors

Lightweight Blockchain Solutions for Mobile Environments

Light-Mode

Classic

Newspaper

Dark-Mode

Neon Noir

Minty

HN StartUps