Results 21 to 30 of about 4,213 (184)
A Systematic Literature Review of Android Malware Detection Using Static Analysis
IEEE Access, 2020 Android malware has been in an increasing trend in recent years due to the pervasiveness of Android operating system. Android malware is installed and run on the smartphones without explicitly prompting the users or without the user's permission, and it ...
Ya Pan +3 more
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Malware Detection Using Memory Analysis Data in Big Data Environment
Applied Sciences, 2022 Malware is a significant threat that has grown with the spread of technology. This makes detecting malware a critical issue. Static and dynamic methods are widely used in the detection of malware. However, traditional static and dynamic malware detection
Murat Dener, Gökçe Ok, Abdullah Orman
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Android malware category detection using a novel feature vector-based machine learning model
Cybersecurity, 2023 Malware attacks on the Android platform are rapidly increasing due to the high consumer adoption of Android smartphones. Advanced technologies have motivated cyber-criminals to actively create and disseminate a wide range of malware on Android ...
Hashida Haidros Rahima Manzil +1 more
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Cryptography, 2021 According to recent security analysis reports, malicious software (a.k.a. malware) is rising at an alarming rate in numbers, complexity, and harmful purposes to compromise the security of modern computer systems.
Hossein Sayadi +6 more
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Research on the Construction of Malware Variant Datasets and Their Detection Method
Applied Sciences, 2022 Malware detection is of great significance for maintaining the security of information systems. Malware obfuscation techniques and malware variants are increasingly emerging, but their samples and API (application programming interface) sequences are ...
Faming Lu +4 more
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Intelligent Vision-Based Malware Detection and Classification Using Deep Random Forest Paradigm
IEEE Access, 2020 Malware is a rapidly increasing menace to modern computing. Malware authors continually incorporate various sophisticated features like code obfuscations to create malware variants and elude detection by existing malware detection systems.
S. Abijah Roseline +3 more
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Detecting Environment-Sensitive Malware [PDF]
, 2011 The execution of malware in an instrumented sandbox is a widespread approach for the analysis of malicious code, largely because it sidesteps the difficulties involved in the static analysis of obfuscated code. As malware analysis sandboxes increase in popularity, they are faced with the problem of malicious code detecting the instrumented environment ...
Lindorfer M. +2 more
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Performance Monitoring Counter Based Intelligent Malware Detection and Design Alternatives
IEEE Access, 2022 Hardware solutions for malware detection are becoming increasingly important as software-based solutions can be easily compromised by intelligent malware.
Jordan Pattee +2 more
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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 The "Malware Detection on Application using Machine Learning" project is a focused initiative aimed at enhancing the security of mobile applications through advanced detection mechanisms. As the threat landscape for mobile app-based malware continues to evolve, this project leverages the power of machine learning to develop robust and adaptive ...
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Trends in Android Malware Detection
Journal of Digital Forensics, Security and Law, 2013 This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and
Kaveh Shaerpour +2 more
openaire +3 more sources