Visible to the public Biblio

Filters: Author is Song, Myoungkyu  [Clear All Filters]
2021-12-20
Singleton, Larry, Zhao, Rui, Siy, Harvey, Song, Myoungkyu.  2021.  FireBugs: Finding and Repairing Cryptography API Misuses in Mobile Applications. 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). :1194–1201.
In this paper, we present FireBugs for Finding and Repairing Bugs based on security patterns. For the common misuse patterns of cryptography APIs (crypto APIs), we encode common cryptography rules into the pattern representations for bug detection and program repair regarding cryptography rule violations. In the evaluation, we conducted a case study to assess the bug detection capability by applying FireBugs to datasets mined from both open source and commercial projects. Also, we conducted a user study with professional software engineers at Mutual of Omaha Insurance Company to estimate the program repair capability. This evaluation showed that FireBugs can help professional engineers develop various cryptographic requirements in a resilient application.
2020-08-14
Singleton, Larry, Zhao, Rui, Song, Myoungkyu, Siy, Harvey.  2019.  FireBugs: Finding and Repairing Bugs with Security Patterns. 2019 IEEE/ACM 6th International Conference on Mobile Software Engineering and Systems (MOBILESoft). :30—34.

Security is often a critical problem in software systems. The consequences of the failure lead to substantial economic loss or extensive environmental damage. Developing secure software is challenging, and retrofitting existing systems to introduce security is even harder. In this paper, we propose an automated approach for Finding and Repairing Bugs based on security patterns (FireBugs), to repair defects causing security vulnerabilities. To locate and fix security bugs, we apply security patterns that are reusable solutions comprising large amounts of software design experience in many different situations. In the evaluation, we investigated 2,800 Android app repositories to apply our approach to 200 subject projects that use javax.crypto APIs. The vision of our automated approach is to reduce software maintenance burdens where the number of outstanding software defects exceeds available resources. Our ultimate vision is to design more security patterns that have a positive impact on software quality by disseminating correlated sets of best security design practices and knowledge.