Amandroid: A precise and general inter-component data flow analysis framework for security vetting of android apps

F Wei, S Roy, X Ou, Robby - ACM Transactions on Privacy and Security …, 2018 - dl.acm.org
We present a new approach to static analysis for security vetting of Android apps and a
general framework called Amandroid. Amandroid determines points-to information for all …

Consortium blockchain-based malware detection in mobile devices

J Gu, B Sun, X Du, J Wang, Y Zhuang, Z Wang - IEEE Access, 2018 - ieeexplore.ieee.org
To address the problem of detecting malicious codes in malware and extracting the
corresponding evidences in mobile devices, we construct a consortium blockchain …

A multi-model ensemble learning framework for imbalanced android malware detection

H Zhu, Y Li, L Wang, VS Sheng - Expert Systems with Applications, 2023 - Elsevier
The continuous malicious software (malware) attacks on smartphones pose a serious threat
to the security of users, especially the dominant platform Android. Data-driven methods …

Android malware detection using complex-flows

F Shen, J Del Vecchio, A Mohaisen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes a new technique to detect mobile malware based on information flow
analysis. Our approach examines the structure of information flows to identify patterns of …

Extracting taint specifications for javascript libraries

CA Staicu, MT Torp, M Schäfer, A Møller… - Proceedings of the ACM …, 2020 - dl.acm.org
Modern JavaScript applications extensively depend on third-party libraries. Especially for
the Node. js platform, vulnerabilities can have severe consequences to the security of …