Results 281 to 290 of about 306,676 (309)

DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling

IEEE Transactions on Information Forensics and Security, 2019
Most existing Android malware detection and categorization techniques are static approaches, which suffer from evasion attacks, such as obfuscation. By analyzing program behaviors, dynamic approaches are potentially more resilient against these attacks ...
Haipeng Cai, Na Meng, B. Ryder, Daphne Yao   +3 more
semanticscholar   +1 more source

Toward Developing a Systematic Approach to Generate Benchmark Android Malware Datasets and Classification

International Carnahan Conference on Security Technology, 2018
Malware detection is one of the most important factors in the security of smartphones. Academic researchers have extensively studied Android malware detection problems.
Arash Habibi Lashkari, Andi Fitriah Abdul Kadir, Laya Taheri, A. Ghorbani   +3 more
semanticscholar   +1 more source

Effective and Efficient Hybrid Android Malware Classification Using Pseudo-Label Stacked Auto-Encoder

Journal of Network and Systems Management, 2021
Samaneh Mahdavifar, D. Alhadidi, A. Ghorbani   +2 more
semanticscholar   +1 more source

DroidHook: a novel API-hook based Android malware dynamic analysis sandbox

International Conference on Automated Software Engineering, 2023
Yuning Cui, Yi Sun, Zhaowen Lin
semanticscholar   +1 more source

FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps

ACM-SIGPLAN Symposium on Programming Language Design and Implementation, 2014
Steven Arzt, Siegfried Rasthofer, Christian G Fritz, E. Bodden, Alexandre Bartel, Jacques Klein, Y. Traon, Damien Octeau, P. Mcdaniel   +8 more
semanticscholar   +1 more source

A survey of malware detection in Android apps: Recommendations and perspectives for future research

Computer Science Review, 2021
Kobra Khanmohammadi, Sylvain Halle, Raphaël Khoury   +2 more
exaly  

Android

Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018
Qi-Guang Lian
semanticscholar   +1 more source

Deep Learning for Android Malware Defenses: A Systematic Literature Review

ACM Computing Surveys, 2023
Yepang Liu, Chakkrit Tantithamthavorn, Yue Liu   +2 more
exaly  

A Survey of Android Malware Detection with Deep Neural Models

ACM Computing Surveys, 2021
Yang Xiang, Junyang Qiu
exaly  

MLDroid—framework for Android malware detection using machine learning techniques

Neural computing & applications (Print), 2020
Arvind Mahindru, A. L. Sangal
semanticscholar   +1 more source