By Mehedy Masud,Latifur Khan,Bhavani Thuraisingham
Although using information mining for defense and malware detection is instantly at the upward thrust, so much books at the topic offer high-level theoretical discussions to the close to exclusion of the sensible features. Breaking the mildew, Data Mining instruments for Malware Detection presents a step by step breakdown of the way to improve facts mining instruments for malware detection. Integrating conception with functional ideas and experimental effects, it specializes in malware detection functions for electronic mail worms, malicious code, distant exploits, and botnets.
The authors describe the platforms they've got designed and built: electronic mail bug detection utilizing information mining, a scalable multi-level characteristic extraction strategy to realize malicious executables, detecting distant exploits utilizing facts mining, and flow-based id of botnet site visitors by way of mining a number of log documents. for every of those instruments, they element the approach structure, algorithms, functionality effects, and obstacles.
- Discusses info mining for rising functions, together with adaptable malware detection, insider risk detection, firewall coverage research, and real-time facts mining
- Includes 4 appendices that supply an organization starting place in info administration, safe structures, and the semantic web
- Describes the authors’ instruments for circulate info mining
From algorithms to experimental effects, this can be one of many few books that may be both necessary to these in undefined, executive, and academia. it is going to support technologists make a decision which instruments to pick for particular functions, managers will make sure even if to continue with a knowledge mining undertaking, and builders will locate cutting edge replacement designs for a number of applications.
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