The Road Ahead for MASC: Expanding Crypto-API Misuse Detection
by Mutation Technology PublicationsJune 5th, 2024
Too Long; Didn't Read
MASC will expand by evaluating more crypto-detectors and enhancing customization, aiming to assist researchers, developers, and open-source enthusiasts in improving crypto-API misuse detection and security.
Authors:
(1) Amit Seal Ami, Computer Science Department, William & Mary Williamsburg, Virginia, USA, and this author contributed equally to this paper ([email protected]);
(2) Syed Yusuf Ahmed, Institute for Information Technology, University of Dhaka Dhaka, Bangladesh, and this author contributed equally to this paper ([email protected]);
(3) Radowan Mahmud Redoy, Institute for Information Technology, University of Dhaka Dhaka, Bangladesh, and this author contributed equally to this paper ([email protected]);
(4) Nathan Cooper, Computer Science Department, William & Mary Williamsburg, Virginia, USA ([email protected]);
(5) Kaushal Kafle, Computer Science Department, William & Mary Williamsburg, Virginia, USA ([email protected]);
(6) Kevin Moran, Department of Computer Science, University of Central Florida Orlando, Florida, USA ([email protected]);
(7) Denys Poshyvanyk, Computer Science Department, William & Mary Williamsburg, Virginia, USA ([email protected]);
(8) Adwait Nadkarni, Computer Science Department, William & Mary Williamsburg, Virginia, USA ([email protected]).
Table of Links
6 Future Work and Conclusion, Acknowledgments, and References
6 FUTURE WORK AND CONCLUSION
We discussed the overview, design goals, implementation details and usage of MASC, a user-friendly tool for mutation-based evaluation of static crypto-API misuse detectors. While we do not report any additional crypto-detector evaluation in this demonstration paper, evaluation results of the original implementation of MASC are available in the original paper [3]. We plan to evaluate additional crypto-detectors with the current implementation of MASC, and aim to extend the customization support to the additional scopes, i.e., exhaustive scope and similarity scope. We hope that the current implementation of MASC will help crypto-detector stakeholders, i.e., security researchers, developers and users, to systematically evaluate crypto-detectors. Furthermore, we envision that that opensource enthusiasts will augment the mutation operators of MASC further, empowered by its easy to extend architecture, thus helping improve crypto-detectors by finding novel flaws.
ACKNOWLEDGMENTS
This work is supported in part by NSF-1815336, NSF-1815186, NSF1955853 grants and Coastal Virginia Center for Cyber Innovation and the Commonwealth Cyber Initiative, an investment in the advancement of cyber R&D, innovation, and workforce development. For more information about COVA CCI and CCI, visit www.covacci.org and www.cyberinitiative.org.
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