Results 1 to 10 of about 20,533 (244)
Analysis and evaluation of SafeDroid v2.0, a framework for detecting malicious Android applications [PDF]
, 2018 Android smartphones have become a vital component of the daily routine of millions of people, running a plethora of applications available in the official and alternative marketplaces.
Argyriou, Marios +2 more
core +2 more sources
Testing Android Anti-Malware against Malware Obfuscations
International Journal of Computer Applications, 2015 is an increasing threat of malware on mobile. Since Android is the most popular and maximum sold mobile phone, the malware attack on Android mobile is increasing day by day. The commercial antimalware products available in the market can detect common and old malwares easily.
Aruna Gupta, Gunjan Kapse
openaire +1 more source
Longitudinal performance analysis of machine learning based Android malware detectors [PDF]
, 2019 This paper presents a longitudinal study of the performance of machine learning classifiers for Android malware detection. The study is undertaken using features extracted from Android applications first seen between 2012 and 2016.
Khan, Sarmadullah, Yerima, Suleiman
core +1 more source
Android Malware Family Classification Based on Resource Consumption over Time
, 2017 The vast majority of today's mobile malware targets Android devices. This has pushed the research effort in Android malware analysis in the last years.
Aniello, Leonardo +5 more
core +1 more source
Analysis of Uapush Malware Infection using Static and Behavior Method on Android [PDF]
, 2018 This research combines static and behavior analysis to detect malwares on Android system. The analysis process was completed by implementing analysis process on a malware-infected application running on an Android device.
Masduqi, Mohammad Khairul +2 more
core +3 more sources
Monitoring Real Android Malware [PDF]
, 2015 In the most comprehensive study on Android attacks so far (undertaken by the Android Malware Genome Project), the behaviour of more than 1, 200 malwares was analysed and categorised into common, recurring groups of attacks. Based on this work (and the corresponding actual malware files), we present an approach for specifying and identifying these (and ...
Jan-Christoph Küster, Andreas Bauer
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Security Toolbox for Detecting Novel and Sophisticated Android Malware
, 2015 This paper presents a demo of our Security Toolbox to detect novel malware in Android apps. This Toolbox is developed through our recent research project funded by the DARPA Automated Program Analysis for Cybersecurity (APAC) project.
Deering, Tom +4 more
core +1 more source
DroidDetectMW: A Hybrid Intelligent Model for Android Malware Detection
Applied Sciences, 2023 Malicious apps specifically aimed at the Android platform have increased in tandem with the proliferation of mobile devices. Malware is now so carefully written that it is difficult to detect.
Fatma Taher +4 more
doaj +1 more source
Evaluation of Advanced Ensemble Learning Techniques for Android Malware Detection [PDF]
Vietnam Journal of Computer Science, 2020 Android is the most well-known portable working framework having billions of dynamic clients worldwide that pulled in promoters, programmers, and cybercriminals to create malware for different purposes. As of late, wide-running inquiries have been led on
Md. Shohel Rana, Andrew H. Sung
doaj +1 more source
Forensic Analysis of Hook Android Malware
Forensic Science International: Digital Investigation, 2023 This publication presents a thorough forensic investigation of the banking malware known as Hook, shedding light on its intricate functionalities and providing valuable insights into the broader realm of banking malware. Given the persistent evolution of Android malware, particularly in the context of banking threats, this research explores the ongoing
Dominic Schmutz +2 more
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