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Books > Computing & IT > Computer communications & networking > Network security

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Data Mining Tools for Malware Detection (Hardcover) Loot Price: R1,421
Discovery Miles 14 210
You Save: R194 (12%)
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Data Mining Tools for Malware Detection (Hardcover): Mehedy Masud, Latifur Khan, Bhavani Thuraisingham

Data Mining Tools for Malware Detection (Hardcover)

Mehedy Masud, Latifur Khan, Bhavani Thuraisingham

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List price R1,615 Loot Price R1,421 Discovery Miles 14 210 | Repayment Terms: R130 pm x 12* You Save R194 (12%)

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Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware detection. Integrating theory with practical techniques and experimental results, it focuses on malware detection applications for email worms, malicious code, remote exploits, and botnets.

The authors describe the systems they have designed and developed: email worm detection using data mining, a scalable multi-level feature extraction technique to detect malicious executables, detecting remote exploits using data mining, and flow-based identification of botnet traffic by mining multiple log files. For each of these tools, they detail the system architecture, algorithms, performance results, and limitations.

  • Discusses data mining for emerging applications, including adaptable malware detection, insider threat detection, firewall policy analysis, and real-time data mining
  • Includes four appendices that provide a firm foundation in data management, secure systems, and the semantic web
  • Describes the authors tools for stream data mining

From algorithms to experimental results, this is one of the few books that will be equally valuable to those in industry, government, and academia. It will help technologists decide which tools to select for specific applications, managers will learn how to determine whether or not to proceed with a data mining project, and developers will find innovative alternative designs for a range of applications.

General

Imprint: Taylor & Francis
Country of origin: United States
Release date: December 2011
First published: 2011
Authors: Mehedy Masud • Latifur Khan • Bhavani Thuraisingham
Dimensions: 234 x 156 x 27mm (L x W x T)
Format: Hardcover
Pages: 450
ISBN-13: 978-1-4398-5454-9
Categories: Books > Computing & IT > Computer communications & networking > Network security
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 1-4398-5454-8
Barcode: 9781439854549

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