Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]
Anuradha A, Chouhan AS, Srinivas Rao S.
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A Study on Malware and Malware Detection Techniques [PDF]
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A distributed framework for zero-day malware detection using federated ensemble models. [PDF]
Ishfaq H, Shah JH, Saleem R, Afzal M.
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BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction. [PDF]
Mishra S, Alfahidah RA, Alharbi F.
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A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]
Abed Alsaedi S +6 more
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A bio inspired hybrid optimization framework for efficient real time malware detection. [PDF]
Abualhaj MM +7 more
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MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]
Bragança H +4 more
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Artificial neural network analysis of a fractional cyber-epidemic model in wireless sensors under the proportional Hadamard-Caputo operator. [PDF]
Barakat MA +5 more
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Dynamics of botnet propagation model in complex networks considering hybrid method for botnet detection. [PDF]
Maazalahi M, Hosseini S.
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Malware attack and Malware Analysis : A Research
Malware analysis is the manner of performing evaluation of the malware and knowledge its moves and conduct. It is of two types- static and dynamic evaluation. Static analysis is carried out by staring at the supply code of the malware and drawing conclusions primarily based on it. Dynamic analysis is the analysis achieved through executing the piece of
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