Agent-based QoS routing for intrusion detection of sinkhole attack in clustered wireless sensor networks

  • Gauri Kalnoor*
  • , Jayashree Agarkhed
  • , Siddarama R. Patil
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Secured transmission of data is the most challenging and critical issue in Wireless Sensor networks (WSN). QoS parameters such as energy efficiency, power consumption, end-to-end delay and so on plays an important role for system performance. Clustering approach is an effective way that can enhance system and network performance. In Clustered Wireless Sensor Network (CWSN), any type of attacks that are malicious and harmful to the network can occur and security of CWSN is affected. One of the major attack that may occur in CWSN is sinkhole attack that needs to be detected. An agent-based protocol is used to detect or prevent such type of attack. This can help improve the performance of the network that includes QoS parameters. An intrusion detection system (IDS) is configured using agent-based protocol to detect if an intrusion occurs.

Original languageEnglish
Title of host publicationProceedings of the 1st International Conference on Computational Intelligence and Informatics, ICCII 2016
EditorsK. Srujan Raju, Suresh Chandra Satapathy, V. Kamakshi Prasad, B. Padmaja Rani, Siba K. Udgata
PublisherSpringer Verlag
Pages571-583
Number of pages13
ISBN (Print)9789811024702
DOIs
Publication statusPublished - 2017
Event1st International Conference on Computational Intelligence and Informatics, ICCII 2016 - Hyderabad, India
Duration: 28-05-201630-05-2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume507
ISSN (Print)2194-5357

Conference

Conference1st International Conference on Computational Intelligence and Informatics, ICCII 2016
Country/TerritoryIndia
CityHyderabad
Period28-05-1630-05-16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

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