Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms. [PDF]
Sci RepAlohali MA +7 more
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In-Memory Shellcode Runner Detection in Internet of Things (IoT) Networks: A Lightweight Behavioral and Semantic Analysis Framework. [PDF]
Sensors (Basel)Dora JR, Hluchý L, Staňo M.
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JDroid: Android malware detection using hybrid opcode feature vector. [PDF]
PeerJ Comput SciArslan RS.
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Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]
Front Artif IntellAlabdullah B, Sankaranarayanan S.
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Mobile malware detection method using improved GhostNetV2 with image enhancement technique. [PDF]
Sci RepDu Y +5 more
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Two-Tier heuristic search for ransomware-as-a-service based cyberattack défense analysis using explainable Bayesian deep learning model. [PDF]
Sci RepAlmuflih AS.
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GCSA-ResNet: a deep neural network architecture for Malware detection. [PDF]
Sci RepFan Y +5 more
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A malware detection method with function parameters encoding and function dependency modeling. [PDF]
PeerJ Comput SciHou R, Liu D, Jin X, Weng J, Geng G.
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The number of malware is constantly growing. Better detection techniques need to be developed to keep detection times as short as possible and to reduce the cost of malware attacks. Malicious programs use a variety of techniques to avoid detection. Each technique has been developed as a countermeasure to a particular method of detection.
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