BEHAVIORAL MODEL FOR DETECTION OF COMPROMISED NODES IN WSN

Node Compromise Detection (NCD) is an important requirement for dealing with potential attacks in regular and random deployment in Wireless Sensor Networks. Intrusion Detection method is proposed to detect the compromised nodes. We proposed Parameter Grouping (PG) model for compromised nodes. We red...

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Bibliographic Details
Published inInternational journal of advanced research in computer science Vol. 9; no. 2; pp. 1 - 6
Main Author Thaile, Manyam
Format Journal Article
LanguageEnglish
Published Udaipur International Journal of Advanced Research in Computer Science 20.04.2018
Subjects
Computer science
Computer simulation
Cybersecurity
Energy
Energy consumption
Intrusion detection systems
Nodes
Remote sensors
Reputations
Sensors
Software
Trust
Wireless networks
Wireless sensor networks
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Summary:Node Compromise Detection (NCD) is an important requirement for dealing with potential attacks in regular and random deployment in Wireless Sensor Networks. Intrusion Detection method is proposed to detect the compromised nodes. We proposed Parameter Grouping (PG) model for compromised nodes. We reduced communication overhead , attestation overhead, false negatives and energy consumption when compared with existing methods, like ZoneTrust. An NS2 based simulation work was carried out and found that the proposed PG model detects compromised nodes effectively.
ISSN:0976-5697
0976-5697
DOI:10.26483/ijarcs.v9i2.5422