By Mehedy Masud,Latifur Khan,Bhavani Thuraisingham
Although using info mining for defense and malware detection is readily at the upward thrust, such a lot books at the topic supply high-level theoretical discussions to the close to exclusion of the sensible points. Breaking the mould, Data Mining instruments for Malware Detection offers a step by step breakdown of the way to boost info mining instruments for malware detection. Integrating idea with sensible strategies and experimental effects, it specializes in malware detection functions for electronic mail worms, malicious code, distant exploits, and botnets.
The authors describe the structures they've got designed and built: e-mail bug detection utilizing info mining, a scalable multi-level characteristic extraction strategy to observe malicious executables, detecting distant exploits utilizing facts mining, and flow-based identity of botnet site visitors through mining a number of log records. for every of those instruments, they aspect the method structure, algorithms, functionality effects, and barriers.
- Discusses information mining for rising functions, together with adaptable malware detection, insider chance detection, firewall coverage research, and real-time facts mining
- Includes 4 appendices that supply an organization origin in facts administration, safe platforms, and the semantic web
- Describes the authors’ instruments for movement facts mining
From algorithms to experimental effects, this is often one of many few books that may be both helpful to these in undefined, govt, and academia. it is going to support technologists make a decision which instruments to pick for particular functions, managers will tips on how to ensure even if to continue with a knowledge mining venture, and builders will locate leading edge substitute designs for a number of applications.
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