Affiliation:
1. University of Cape Town, South Africa
Abstract
Supported by the Web 3.0 platform that enables dynamic content sharing, social networking applications are a ubiquitous information exchange platform. Content sharing raises the question of privacy with concerns typically centered on vulnerabilities resulting in identity theft. Identifying privacy vulnerabilities is a challenging problem because mitigations are implemented at the end of the software development life cycle, sometimes resulting in severe vulnerabilities. The authors present a prototype experimental social networking platform (HACKMI2) as a case study for a comparative analysis of three popular industry threat-modeling approaches. They focus on identified vulnerabilities, risk impact, and mitigation strategies. The results indicate that software and/or asset-centric approaches provide only a high-level analysis of a system's architecture and are not as effective as attacker-centric models in identifying high-risk security vulnerabilities in a system. Furthermore, attacker-centric models are effective in providing security administrators useful suggestions for addressing security vulnerabilities.
Cited by
1 articles.
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1. Attacker-centric thinking in security;Proceedings of the 15th International Conference on Availability, Reliability and Security;2020-08-25