Results 1 to 10 of about 11,113 (232)
Android malware analysis in a nutshell. [PDF]
PLoS ONE, 2022 This paper offers a comprehensive analysis model for android malware. The model presents the essential factors affecting the analysis results of android malware that are vision-based.
Iman Almomani +2 more
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A hybrid machine learning approach for analysis of stegomalware [PDF]
International Journal of Industrial Engineering and Operations Management, 2023 Purpose – Given how smart today’s malware authors have become through employing highly sophisticated techniques, it is only logical that methods be developed to combat the most potent threats, particularly where the malware is stealthy and makes ...
Prudence Kadebu +6 more
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IEEE Access, 2022 Malware has plagued the internet and computing systems for decades. The war against malware has always been an arms race. Researchers and industry have constantly improved detection and prevention methodologies against increasingly more evasive malware ...
Siwon Huh +4 more
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Large-Scale Analysis on Anti-Analysis Techniques in Real-World Malware
IEEE Access, 2022 To dynamically identify malicious behaviors of millions of Windows malware, anti-virus vendors have widely been using sandbox-based analyzers. However, the sandbox-based analysis has a critical limitation that anti-analysis techniques (i.e., Anti-sandbox
Minho Kim, Haehyun Cho, Jeong Hyun Yi
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FAM: Featuring Android Malware for Deep Learning-Based Familial Analysis
IEEE Access, 2022 To handle relentlessly emerging Android malware, deep learning has been widely adopted in the research community. Prior work proposed deep learning-based approaches that use different features of malware, and reported a high accuracy in malware detection,
Younghoon Ban +4 more
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Android Malware Category and Family Identification Using Parallel Machine Learning [PDF]
Journal of Information Technology Management, 2022 Android malware is one of the most dangerous threats on the Internet. It has been on the rise for several years. As a result, it has impacted many applications such as healthcare, banking, transportation, government, e-commerce, etc.
Ahmed Hashem El Fiky +2 more
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A Hybrid Approach for Android Malware Detection and Family Classification.
International Journal of Interactive Multimedia and Artificial Intelligence, 2021 With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify.
Meghna Dhalaria, Ekta Gandotra
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Binary and Multi-Class Malware Threads Classification
Applied Sciences, 2022 The security of a computer system can be harmed by specific applications, such as malware. Malware comprises unwanted, dangerous enemies that aim to compromise the security and generate significant loss.
Ismail Taha Ahmed +3 more
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Analysis of Mobile Malware: A Systematic Review of Evolution and Infection Strategies
Journal of Information Security and Cybercrimes Research, 2021 The open-source and popularity of Android attracts hackers and has multiplied security concerns targeting devices. As such, malware attacks on Android are one of the security challenges facing society.
Ashawa Moses, Sarah Morris
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Malware Authorship Attribution Model using Runtime Modules based on Automated Analysis
JOIV: International Journal on Informatics Visualization, 2022 Malware authorship attribution is a research field that identifies the author of malware by extracting and analyzing features that relate the authors from the source code or binary code of malware.
Sangwoo Lee, Jungwon Cho
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