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Android in the Zoo: Chain-of-Action-Thought for GUI Agents
Conference on Empirical Methods in Natural Language ProcessingLarge language model (LLM) leads to a surge of autonomous GUI agents for smartphone, which completes a task triggered by natural language through predicting a sequence of actions of API.
Jiwen Zhang +7 more
semanticscholar +1 more source
AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents
arXiv.orgAutonomous agents have become increasingly important for interacting with the real world. Android agents, in particular, have been recently a frequently-mentioned interaction method.
Yifan Xu +9 more
semanticscholar +1 more source
PermPair: Android Malware Detection Using Permission Pairs
IEEE Transactions on Information Forensics and Security, 2020The Android smartphones are highly prone to spreading the malware due to intrinsic feebleness that permits an application to access the internal resources when the user grants the permissions knowingly or unknowingly.
Anshul Arora, S. K. Peddoju, M. Conti
semanticscholar +1 more source
2021 Reconciling Data Analytics, Automation, Privacy, and Security: A Big Data Challenge (RDAAPS), 2021
The unmatched threat of Android malware has tremendously increased the need for analyzing prominent malware samples. There are remarkable efforts in static and dynamic malware analysis using static features and API calls respectively.
David S. Keyes +5 more
semanticscholar +1 more source
The unmatched threat of Android malware has tremendously increased the need for analyzing prominent malware samples. There are remarkable efforts in static and dynamic malware analysis using static features and API calls respectively.
David S. Keyes +5 more
semanticscholar +1 more source
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 +3 more
semanticscholar +1 more source
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 +3 more
semanticscholar +1 more source
DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling
IEEE Transactions on Information Forensics and Security, 2019Most 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 +3 more
semanticscholar +1 more source
Recovering Android Bad Smells from Android Applications
Arabian Journal for Science and Engineering, 2020The demand for Android mobile software applications is continuously increasing with the evolution of technology and new enriching features to make the life of people easy and comfortable. The mobile-based software applications are frequently updated as compared to other web and desktop applications. Due to these frequent updating cycles, the developers
Ghulam Rasool, Azhar Ali
openaire +1 more source