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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Hlavní autoři:	Masud, Mehedy, Khan, Latifur, Thuraisingham, Bhavani
Médium:	E-kniha Kniha
Jazyk:	angličtina
Vydáno:	Boca Raton Auerbach Publications 2012 CRC Press Auerbach Publishers, Incorporated
Vydání:	1
Témata:	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
On-line přístup:	Získat plný text
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Popis
Shrnutí:	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 systems development for each of the four applications. They also discuss experimental and performance results, unique contributions of the system, and the limitations. The appendices include information on data management, data mining, data security, and the design and implementation of data mining tools.
Bibliografie:	Includes bibliographical references and index An Auerbach book. Available also in a print ed. Mode of access: Internet via World Wide Web. Title from title screen.
ISBN:	1439854548 9781439854549 9781439854556 1439854556
DOI:	10.1201/b11298