JOURNAL ARTICLE

Wireless Sensor Network Security Analysis for Data and Aggregation.

  • Published In: Journal of Interconnection Networks, 2023, v. 23, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Manoharan, Maravarman; Babu, S.; Pitchai, R. 3 of 3

Abstract

Data security is critical in wireless sensor networks (WSNs) because communication signals are highly available due to data transmission in free space. Attacks ranging from passive eavesdropping to active snooping are more common on these networks. This paper proposes secure data transfer using data encryption based on the improved Rivest–Shamir–Adleman (RSA) with Diffie–Hellman (DH) key exchange algorithm (IRSA-DH). For this purpose, the adaptive distance-based agglomerative hierarchical (ADAH)-based clustering method is used. Then the cluster head (CH) is selected using the improved weight-based rain optimization (IWRO) to improve the network's lifespan. This study aims to design a secure group communication method for WSNs. In order to generate and distribute the key to the group, the RSA and DH and key exchange algorithm had been hybridized with the Key Management Center (KMC). For safe communication between users, the key exchange technique is investigated. The performance measures such as throughput, packet loss ratio (PLR), packet delivery ratio (PDR), latency, energy consumption, end-to-end delay (EED) and network lifetime are analyzed and compared with the existing approaches. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Interconnection Networks. 2023/06, Vol. 23, Issue 2, p1
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2023
  • ISSN:0219-2659
  • DOI:10.1142/S0219265922500025
  • Accession Number:162244137
  • Copyright Statement:Copyright of Journal of Interconnection Networks is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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