An evolvable malware classification deep learning model, namely EC-Model, is proposed in this paper which can dynamically adapt to new malware types without ...

A deep learning and evolvable classification model were proposed in [9] , EC-Model; this model has the capability of adding new output class dynamically to the ...

Malware evolves quickly as new attack, evasion and mutation techniques are commonly used by hackers to build new malicious malware families.

Malware evolves quickly as new attack, evasion and mutation techniques are commonly used by hackers to build new malicious malware families.

EC-Model: An Evolvable Malware Classification Model. · computational model · high level · mathematical model · similarity measure · statistical model · theoretical ...

Apr 4, 2022 · EC-model: an evolvable malware classification model. Proceedings of 2021 IEEE Conference on Dependable and Secure Computing (DSC); 2021 ...

Oct 5, 2024 · This paper proposes a novel malware detection model, based on semi-supervised transfer learning (SSTL) for the cloud, that consists of ... [Show ...

EC-Model: An Evolvable Malware Classification Model. 2021 IEEE ... To recognize malicious programs, multi-class model requires malware types ...

Feb 15, 2023 · The models were trained for 50 epochs using early stopping criteria. Finally, the model composition method was used to classify malware images ...

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