Predicting the Impact of Android Malicious Samples via Machine Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2914311
Abstract: Recently, Android malicious samples threaten billions of mobile end users’ security or privacy. The community researchers have designed many methods to automatically and accurately identify Android malware samples. However, the rapid increase of Android malicious… read more here.
Keywords: android malware; malicious samples; android malicious; security ... See more keywords
Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2918139
Abstract: The number of applications (apps) available for smart devices or Android based IoT (Internet of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill-designed or malicious apps (malapps) has been… read more here.
Keywords: detecting android; features detecting; apps; malicious applications ... See more keywords
AndroAnalyzer: android malicious software detection based on deep learning
Sign Up to like & getrecommendations! Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.533
Abstract: Background Technological developments have a significant effect on the development of smart devices. The use of smart devices has become widespread due to their extensive capabilities. The Android operating system is preferred in smart devices… read more here.
Keywords: detection; smart devices; deep learning; android malicious ... See more keywords