Autonomous detection of malevolent nodes using secure heterogeneous cluster protocol

C. Kotteeswaran, Indrajit Patra, Regonda Nagaraju, D. Sungeetha, Bapayya Naidu Kommula, Yousef Methkal Abd Algani, S. Murugavalli, B. Kiran Bala

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Surfing of internet by the users has been more vital from the inception of the network. However, the number of users using the internet is increasing gradually. As a result, it has also become a serious threat to users who are using the internet because due to the false information and security threat by malicious users. In this context, it is vital to provide the trusted information to the users. In order to achieve the same, the Heterogeneous Cluster-Based Secure Protocol (HCBSP) can be used to detect the malicious nodes and thereby, to provide a secure path for data transmission. Initially, the nodes are deployed, then clusters are formed and subsequently, the data are transmitted between cluster and base. The HCBSP operates over the cluster for effective attack detection and secures the data transmission in wireless network. This performance is evaluated and compared with the existing methods. Here, the result shows that the HCBSP is the most effective platform in detecting the malicious nodes with high accuracy rate.

Original languageEnglish
Article number107902
JournalComputers and Electrical Engineering
Volume100
DOIs
StatePublished - May 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022

Keywords

  • Autonomous detection
  • Malicious nodes
  • Security
  • Wireless Sensor Networks

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