This paper adopts a new approach to the problem of malware recognition, which is to use multiple sequence alignment techniques from bioinformatics to align ...
This paper adopts a new approach to the problem of malware recognition, which is to use multiple sequence alignment techniques from bioinformatics to align ...
Experimental results demonstrate the feasibility of the novel approach for identifying malware code through multiple sequence alignment followed by analysis ...
Jul 14, 2024 · This paper adopts a new approach to the problem of malware recognition, which is to use multiple sequence alignment techniques from ...
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Jul 14, 2024 · This paper adopts a new approach to the problem of malware recognition, which is to use multiple sequence alignment techniques from ...
Systems and methods are described for malware detection using multiple neural networks that share and adjust weight and bias information with each other during ...
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This paper aims to investigate recent advances in malware detection on MacOS, Windows, iOS, Android, and Linux using deep learning (DL)
This paper adopts a new approach to the problem of malware recognition, which is to use multiple sequence alignment techniques from bioinformatics to align ...
The behavior patterns of malware are generated with Multiple Sequence Alignment (MSA) of API call sequences of malware. Consequently, we defined these behavior ...
Experimental results demonstrate the feasibility of the novel approach for identifying malware code through multiple sequence alignment followed by analysis ...