Data Mining Tools for Malware Detection

Presenting theoretical concepts, practical techniques, and experimental results, this book provides a step-by-step illustration of how data mining tools are developed for malware detection. Foscusing on email worms, malicious code, remote exploits, and botnets, the authors describe the step-by-step...

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Bibliographische Detailangaben
Hauptverfasser:	Masud, Mehedy, Khan, Latifur, Thuraisingham, Bhavani
Format:	E-Book Buch
Sprache:	Englisch
Veröffentlicht:	Boca Raton Auerbach Publications 2012 CRC Press Auerbach Publishers, Incorporated
Ausgabe:	1
Schlagworte:	Anomaly detection (Computer security) Computer networks Computer networks > Security measures Computer security Data mining Malware (Computer software) Security measures Remote Exploits Bayes Net Data Chunk Feature Extraction Data Mining Tools Malicious Executables Data Mining SVM Roc Curve Botnet Detection Concept Drifting Data Streams Exploit Code Real Time Data Mining Boosted Decision Tree Binary Executables Malicious Code Detection Class Detection Technique Association Rule Mining Host Machine Baseline Techniques Insider Threat Detection IGI Global Detecting Email Worms Malware Detection Feature Vectors
ISBN:	1439854548, 9781439854549, 9781439854556, 1439854556
Online-Zugang:	Volltext
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