Information Fusion for Cyber-Security Analytics (Studies in Computational Intelligence)

Rating: 
Amazon Price: $179.99 $116.36 You save: $63.63 (35%) (as of December 14, 2019 06:13 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers.

Product Details

  • Series: Studies in Computational Intelligence (Book 691)
  • Hardcover: 379 pages
  • Publisher: Springer; 1st ed. 2017 edition (October 22, 2016)
  • Language: English
  • ISBN-10: 3319442562
  • ISBN-13: 978-3319442563
  • Product Dimensions: 6.2 x 1.2 x 9.5 inches
  • Shipping Weight: 1.8 pounds