Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]
Sci RepSaeed NH +3 more
europepmc +1 more source
A bio inspired hybrid optimization framework for efficient real time malware detection. [PDF]
Sci RepAbualhaj MM +7 more
europepmc +1 more source
Enhancing security in IoMT using federated TinyGAN for lightweight and accurate malware detection. [PDF]
Sci RepS D, Shankar MG, Daniel E, R BGV.
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Logically Explainable Malware Detection. [PDF]
Malware detection is a challenging application due to the rapid evolution of attack techniques, and traditional signature-based approaches struggle with the high volume of malware samples. Machine learning approaches face such limitation, but lack a clear interpretability, whereas interpretable models often underperform.
Anthony, Peter +6 more
openaire +2 more sources
Intelligent Malware Detection System
, 2015 Malicious programs spy on users’ behavior and compromise their privacy. Unfortunately, existing techniques for detecting malware and analyzing unknown code samples are insufficient and have significant shortcomings.
Gulhane, V. S., Damodhare, Sandeep B.
core
A distributed framework for zero-day malware detection using federated ensemble models. [PDF]
PLoS OneIshfaq H, Shah JH, Saleem R, Afzal M.
europepmc +1 more source
A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]
Sci RepAbed Alsaedi S +6 more
europepmc +1 more source
Malware detection using pre-trained transformer encoder with byte sequences. [PDF]
PLoS OneKim EJ +6 more
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Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]
Sci RepAnuradha A, Chouhan AS, Srinivas Rao S.
europepmc +1 more source