Results 91 to 100 of about 2,901,102 (167)
TMaD: Three‐tier malware detection using multi‐view feature for secure convergence ICT environments
Expert Systems, Volume 42, Issue 2, February 2025.Abstract As digital transformation accelerates, data generated in a convergence information and communication technology (ICT) environment must be secured. This data includes confidential information such as personal and financial information, so attackers spread malware in convergence ICT environments to steal this information.
Jueun Jeon +3 more
wiley +1 more source
A Study of Android Malware Detection Techniques in Virtual Environment
, 2016 With the rapid development of mobile environment, cyber-attacks have become more commonplace and more sophisticated. In smartphone operating system market, in particular, Android platform accounts for a large portion (65% or higher).At the same time ...
정현미, 조한진, 김기봉
core
Deep Belief Networks-based framework for malware detection in Android systems
Alexandria Engineering Journal, 2018 Malware is the umbrella term that denotes attacking any system by malicious software. During the last few years, the popularity of Android smartphones led to the sneak of several malware applications into different Android markets without any difficulty.
Dina Saif, S.M. El-Gokhy, E. Sallam
doaj +1 more source
Transactions on Emerging Telecommunications Technologies, Volume 36, Issue 1, January 2025.The advent of the Internet of Things (IoT) has revolutionized the concept of smart homes, allowing users to remotely interact with their houses. This technological development has significantly improved convenience, safety, and overall lifestyles for homeowners.
Absalom E. Ezugwu +10 more
wiley +1 more source
A Malware Detection System For Android
, 2015 Android security is built upon a permission-based mechanism, which restricts access of third-party Android applications to critical resources on an Android device.
Tchakounté, Franklin
core
IEEE AccessThe sophistication of Android malware poses significant threats to user security and privacy. Traditional detection methods struggle with rapid malware evolution and benign application diversity, leading to high false positive rates and limited ...
Yogesh Kumar Sharma +3 more
doaj +1 more source
Mağallaẗ Al-kūfaẗ Al-handasiyyaẗAndroid malware has grown steadily into a major internet threat. Despite efforts to identify and categorize malware in seemingly safe Android apps, addressing this issue is still lacking.
abdullah alsraratee, Ahmed Al-Azawei
doaj +1 more source
Android malware detection using random forest algorithm
Proceedings of the Nigerian Society of Physical SciencesThe proliferation of mobile devices and their dependence on the android OS has made them prime targets for cybercriminals, leading to an escalating threat of malware.
Samson Isaac +4 more
doaj +1 more source
Resilient and Scalable Android Malware Fingerprinting and Detection [PDF]
, 2020 Malicious software (Malware) proliferation reaches hundreds of thousands daily. The manual analysis of such a large volume of malware is daunting and time-consuming.
Karbab, ElMouatez Billah
core +1 more source
IEEE AccessAndroid malware recognition is the procedure of mitigating and identifying malicious software (malware) planned to target Android operating systems (OS) that are extremely utilized in smartphones and tablets.
Mohammed Maray +5 more
doaj +1 more source