Results 171 to 180 of about 16,685 (199)

Adaptive Android Malware Signature Detection

Proceedings of the 2018 International Conference on Communication Engineering and Technology, 2018
This paper proposes signature-based malware detection using permission and broadcast-receiver data, which is extracted from the manifest file. The malicious signatures are constructed from 800 applications thru the filtering and statistical processes. The detection result showed that malicious signatures used to detect the malicious applications had 86.
Suparerk Ngamwitroj, Benchaphon Limthanmaphon   +1 more
openaire   +1 more source

Android Malware Detection Techniques

2019
Importance of personal data has increased along with the evolution of technology. To steal and misuse this data, malicious programs and software are written to exploit the vulnerabilities of the current system. These programs are referred to as malware. Malware harasses the users until their intentions are fulfilled.
Shreya Khemani, Darshil Jain, Gaurav Prasad   +2 more
openaire   +1 more source

Android Malware

2022
Tony Thomas, Roopak Surendran, Teenu S. John, Mamoun Alazab   +3 more
openaire   +1 more source

Infrastructure for Detecting Android Malware

2013
Malware for smartphones have sky-rocketed these last years, particularly for Android platforms. To tackle this threat, services such as Google Bouncer have intended to counter-attack. However, it has been of short duration since the malware have circumvented the service by changing their behaviors.
Laurent Delosières, David García
openaire   +1 more source

Deep Learning for Android Malware Defenses: A Systematic Literature Review

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

Android Malware

2013
Xuxian Jiang, Yajin Zhou
openaire   +1 more source

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

Computer Science Review, 2021
Raphaël Khoury, Kobra Khanmohammadi
exaly  

Android Source Code Vulnerability Detection: A Systematic Literature Review

ACM Computing Surveys, 2023
Janaka Senanayake, Harsha Kumara Kalutarage, Mhd Omar Al-Kadri   +2 more
exaly  

Android malware classification using optimum feature selection and ensemble machine learning

Internet of Things and Cyber-physical Systems, 2023
Rejwana Islam, Moinul Sayed
exaly  

A Survey on Various Threats and Current State of Security in Android Platform

ACM Computing Surveys, 2020
Parnika Bhat
exaly