Results 101 to 110 of about 11,113 (232)
Malware Classification Using Probability Scoring and Machine Learning
IEEE Access, 2019 Malware classification plays an important role in tracing the attack sources of computer security. However, existing static analysis methods are fast in classification, but they are inefficient in some malware using packing and obfuscation techniques ...
Di Xue +4 more
doaj +1 more source
Enhancing Malware Analysis Using Data Visualization Through Shared Code and Attribute Analysis
IEEE AccessMalware analysis is a crucial area of cybersecurity, focusing on identifying, categorizing, and studying malicious software to prevent it from posing a threat to computer systems.
Narayandas Sai Ramana Vashista +1 more
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Malware Detection Approach Based on Artifacts in Memory Image and Dynamic Analysis
Applied Sciences, 2019 The need to detect malware before it harms computers, mobile phones and other electronic devices has caught the attention of researchers and the anti-malware industry for many years. To protect users from malware attacks, anti-virus software products are
Rami Sihwail +3 more
doaj +1 more source
Homology analysis of malware based on ensemble learning and multifeatures.
PLoS ONE, 2019 With the exponential increase in malware, homology analysis has become a hot research topic in the malware detection field. This paper proposes MHAS, a malware homology analysis system based on ensemble learning and multifeatures.
Di Xue +4 more
doaj +1 more source
Android Applications Security [PDF]
The use of smartphones worldwide is growing very fast and also the malicious attacks have increased. The mobile security applications development keeps the pace with this trend. The paper presents the vulnerabilities of mobile applications.
Paul POCATILU
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Incremental clustering method based on Gaussian mixture model to identify malware family
Tongxin xuebao, 2019 Aiming at the logical similarity of the behavioral characteristics of malware belonging to the same family,the characteristics of malware were extracted by tracking the logic rules of API function call from the perspective of behavior detection,and the ...
Jianwei HU +3 more
doaj +2 more sources
Attention-Based Automated Feature Extraction for Malware Analysis. [PDF]
Sensors (Basel), 2020 Choi S, Bae J, Lee C, Kim Y, Kim J.
europepmc +1 more source
Deep learning based Sequential model for malware analysis using Windows exe API Calls. [PDF]
PeerJ Comput Sci, 2020 Catak FO, Yazı AF, Elezaj O, Ahmed J.
europepmc +1 more source
Cyber Risk Mitigation Through Malware Threat Modelling and A Strategic Implementation Framework
Malware, or malicious software, is designed to infiltrate, damage, or disrupt computer systems without user consent. The rapid growth of internet usage has led to a surge in user-generated data, which has, in turn, fuelled an increase in malware-related ...
Njatha, E.
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Malware Detection and Analysis
, 2022 Malicious software poses a serious threat to the cybersecurity of network infrastructures and is a global pandemic in the form of computer viruses, Trojan horses, and Internet worms. Studies imply that the effects of malware are deteriorating.
Suraneni, Namratha
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