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...

Ausführliche Beschreibung

Gespeichert in:
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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Beschreibung
Zusammenfassung: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.
Bibliographie: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