Attacks and Their Solution at Data Link Layer in Cognitive Radio Networks

  • Gurjit KaurEmail author
  • Pradeep Tomar
  • Archit Agrawal
  • Prabhjot Singh
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 141)


In this research paper, the author proposes a new protocol which improves channel assignment as well as it detects the malicious nodes efficiently. We have designed a protocol to enhance the detection ratio by discarding malicious nodes from further detection. In the first proposal, the malicious node is determined by comparing the number of used and unused channel reported by target node as well as by cooperating neighboring nodes. Any mismatch for channel assignment leads to the determination of selfish nodes. In the second proposal, malicious nodes are determined by maintaining the data set which keeps the record of a number of channels being used by each node. Each node has a unique identity and this unique identity is linked with allocated frequency. If malicious node requests multiple channels then it can be identified by checking the data set. Malicious nodes holding multiple channels have to leave the channel and this channel is allocated to other secondary users, it also creates equilibrium in the network. Performance of the proposed work is determined in terms of detection ratio, throughput, and BER. Further, BER is determined for different modulation techniques FSK, PSK, and DPSK.


Primary user (PU) Secondary user (SU) Malicious node Detection ratio Throughput 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Gurjit Kaur
    • 1
    Email author
  • Pradeep Tomar
    • 2
  • Archit Agrawal
    • 2
  • Prabhjot Singh
    • 3
  1. 1.Department of Electronics and Communication EngineeringDelhi Technological UniversityNew DelhiIndia
  2. 2.School of Information and Communication TechnologyGautam Buddha UniversityGreater NoidaIndia
  3. 3.Sales ForceSan FranciscoUSA

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