By Mehedy Masud

Although using info mining for safeguard and malware detection is instantly at the upward thrust, so much books at the topic supply high-level theoretical discussions to the close to exclusion of the sensible points. Breaking the mildew, Data Mining instruments for Malware Detection offers a step by step breakdown of ways to enhance info mining instruments for malware detection. Integrating concept with functional recommendations and experimental effects, it makes a speciality of malware detection functions for e-mail worms, malicious code, distant exploits, and botnets.

The authors describe the platforms they've got designed and constructed: e-mail malicious program detection utilizing facts 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 by means of mining a number of log records. for every of those instruments, they element the procedure structure, algorithms, functionality effects, and boundaries.

  • Discusses information mining for rising functions, together with adaptable malware detection, insider possibility detection, firewall coverage research, and real-time information mining
  • Includes 4 appendices that offer an organization origin in info administration, safe platforms, and the semantic web
  • Describes the authors’ instruments for move information mining

From algorithms to experimental effects, this is often one of many few books that might be both beneficial to these in undefined, govt, and academia. it's going to support technologists make a decision which instruments to pick for particular purposes, managers will easy methods to confirm even if to continue with an information mining undertaking, and builders will locate leading edge substitute designs for a number applications.

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