Data Mining Tools for Malware Detection

• Main Authors: Masud, Mehedy, Khan, Latifur, Thuraisingham, Bhavani
• Format: eBook Book
• Language: English
• Published: Boca Raton Auerbach Publications 2012; CRC Press; Auerbach Publishers, Incorporated
• Edition: 1
• Subjects: 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
• DOI: 10.1201/b11298

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.