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Intrusion detection in Wireless Sensor Network

Bag om Intrusion detection in Wireless Sensor Network

This book is applicable for the study in Computer Science and Engineering students for UG level and PG level of all Indian Universities. The book contains a wireless sensor network and attacks possible in that, intrusion detection system to find a single black hole attacker also cluster-based approach for intrusion detection to detect multiple black hole attackers. The book determines that there are several efficient methods in the area of intrusion detection in wireless sensor networks before. Most work has focused on local detection, i.e., allowing nodes to locally detect specific attacks. Corporative Intrusion Detection scheme IDS is discussed in the book, where all nodes participate in intrusion detection. Further cluster formation and cluster shuffling approach is discussed in the book to detect multiple intruders in the network. And it is elaborated by Branch and bound tree, graphs and results.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781072917830
  • Indbinding:
  • Paperback
  • Sideantal:
  • 80
  • Udgivet:
  • 20. juni 2019
  • Størrelse:
  • 152x229x4 mm.
  • Vægt:
  • 118 g.
  • 2-3 uger.
  • 12. december 2024
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This book is applicable for the study in Computer Science and Engineering students for UG level and PG level of all Indian Universities. The book contains a wireless sensor network and attacks possible in that, intrusion detection system to find a single black hole attacker also cluster-based approach for intrusion detection to detect multiple black hole attackers. The book determines that there are several efficient methods in the area of intrusion detection in wireless sensor networks before. Most work has focused on local detection, i.e., allowing nodes to locally detect specific attacks. Corporative Intrusion Detection scheme IDS is discussed in the book, where all nodes participate in intrusion detection. Further cluster formation and cluster shuffling approach is discussed in the book to detect multiple intruders in the network. And it is elaborated by Branch and bound tree, graphs and results.

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