A common way of launching these attacks is using malware (malicious software) such as worm, virus, Trojan or spyware (Kienzle and Elder, 2003, Heidari, 2004).
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Detecting unknown malicious code by applying classification ... A survey on machine learning-based malware detection in executable files ... code based on static ...
This research synthesizes a taxonomy for classifying detection methods of new malicious code by Machine Learning (ML) methods based on static features ...
Feb 1, 2009 · Detection of malicious code by applying machine ... learning techniques for detection of malicious ... , Behavioral detection of malware: from a ...
Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey ; Data mining methods for detection of new ...
Feb 27, 2012 · First, it is difficult to simulate the appropriate conditions in which the malicious functions of the program, such as the vulnerable ...
Jan 12, 2018 · The anti-malware provider utilizes the meta-heuristic algorithms that can scan efficiently the malicious object to control its signature [26].
This paper presents a systematic and detailed survey of the malware detection mechanisms using data mining techniques. In addition, it classifies the malware ...
Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey · Computer Science. Inf. Secur. Tech. Rep.