May 10, 2013 · In this paper, we propose a new method to detect unknown malware families. This model is based on the frequency of the appearance of opcode sequences.

Aug 22, 2011 · Our method is based on the frequency of appearance of opcode-sequences: it trains several data-mining algorithms in order to detect unknown ...

In this paper, we propose a new method to detect unknown malware families. This model is based on the frequency of the appearance of opcode sequences.

Oct 22, 2024 · In this paper, we propose a new method to detect unknown malware families. This model is based on the frequency of the appearance of opcode ...

An Opcode Sequences Analysis Method For Unknown Malware Detection · Computer Science. ICGDA · 2019.

Bringas, “Opcode sequences as representation of executables for data-mining-based unknown malware detection,” Inform. Sci., 2011 [Online]. Available: http://dx.

Opcode sequences as representation of executables for data-mining-based unknown malware detection · Information Sciences, May 2013 · 10.1016/j.ins.2011.08.020.

Opcode sequences as representation of executables for data-mining-based unknown malware detection. Malware can be defined as any type of malicious code that ...

For the representation of executables, we propose the adoption of LLGC for the detection of unknown malware based on opcode sequences [7]. However, the ...

This work presents a full methodology for the detection of unknown malicious code, based on text categorization concepts, and indicates that greater than ...