Zobrazeno 1 - 10
of 36
pro vyhledávání: '"SAMHI, JORDAN"'
Autor:
Diallo, Alioune, War, Aicha, Diouf, Moustapha Awwalou, Samhi, Jordan, Arzt, Steven, Bissyande, Tegawendé F., Klein, Jacque
The West African Economic and Monetary Union (WAEMU) states, characterized by widespread smartphone usage, have witnessed banks and financial institutions introducing mobile banking applications (MBAs). These apps empower users to perform transaction
Externí odkaz:
http://arxiv.org/abs/2411.04068
Static analysis is sound in theory, but an implementation may unsoundly fail to analyze all of a program's code. Any such omission is a serious threat to the validity of the tool's output. Our work is the first to measure the prevalence of these omis
Externí odkaz:
http://arxiv.org/abs/2407.07804
In developing countries, several key sectors, including education, finance, agriculture, and healthcare, mainly deliver their services via mobile app technology on handheld devices. As a result, mobile app security has emerged as a paramount issue in
Externí odkaz:
http://arxiv.org/abs/2405.05117
Autor:
Samhi, Jordan, Zeller, Andreas
Dynamic analysis has emerged as a pivotal technique for testing Android apps, enabling the detection of bugs, malicious code, and vulnerabilities. A key metric in evaluating the efficacy of tools employed by both research and practitioner communities
Externí odkaz:
http://arxiv.org/abs/2404.11223
Since its release in November 2022, ChatGPT has shaken up Stack Overflow, the premier platform for developers' queries on programming and software development. Demonstrating an ability to generate instant, human-like responses to technical questions,
Externí odkaz:
http://arxiv.org/abs/2402.08801
Numerous tools rely on automatic categorization of Android apps as part of their methodology. However, incorrect categorization can lead to inaccurate outcomes, such as a malware detector wrongly flagging a benign app as malicious. One such example i
Externí odkaz:
http://arxiv.org/abs/2310.07290
Android app developers extensively employ code reuse, integrating many third-party libraries into their apps. While such integration is practical for developers, it can be challenging for static analyzers to achieve scalability and precision when lib
Externí odkaz:
http://arxiv.org/abs/2307.12609
Autor:
Samhi, Jordan, Kober, Maria, Kabore, Abdoul Kader, Arzt, Steven, Bissyandé, Tegawendé F., Klein, Jacques
Apps on mobile phones manipulate all sorts of data, including sensitive data, leading to privacy-related concerns. Recent regulations like the European GDPR provide rules for the processing of personal and sensitive data, like that no such data may b
Externí odkaz:
http://arxiv.org/abs/2301.03207
Autor:
Sun, Xiaoyu, Chen, Xiao, Li, Li, Cai, Haipeng, Grundy, John, Samhi, Jordan, Bissyandé, Tegawendé F., Klein, Jacques
Publikováno v:
ACM Transactions on Software Engineering and Methodology, 2022
Security of Android devices is now paramount, given their wide adoption among consumers. As researchers develop tools for statically or dynamically detecting suspicious apps, malware writers regularly update their attack mechanisms to hide malicious
Externí odkaz:
http://arxiv.org/abs/2210.10997
Many Android apps analyzers rely, among other techniques, on dynamic analysis to monitor their runtime behavior and detect potential security threats. However, malicious developers use subtle, though efficient, techniques to bypass dynamic analyzers.
Externí odkaz:
http://arxiv.org/abs/2203.04448