IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Improved Cross-Layer Detection and Prevention of Sinkhole Attack in WSN

Improved Cross-Layer Detection and Prevention of Sinkhole Attack in WSN
View Sample PDF
Author(s): Ambika N. (Department of Computer Application, SSMRV College, Bangalore, India)
Copyright: 2021
Pages: 14
Source title: Encyclopedia of Information Science and Technology, Fifth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-7998-3479-3.ch037

Purchase

View Improved Cross-Layer Detection and Prevention of Sinkhole Attack in WSN on the publisher's website for pricing and purchasing information.

Abstract

Sensors are tiny devices deployed to monitor any object of interest. As these devices are unsupervised, they are liable to get compromised. The chapter suggests to minimize sinkhole attack in the network. The work is an improvement of the cross-layer detection method. The doings of the network and MAC layer are brought in together to enhance security in the network. The proposed study uses signal strength and node identification to track the malicious node in the network. The work suffixes a hash code to enhance security in the network. The work aids in bringing forward secrecy. The energy is reduced by 18.18%, and the security is increased by 22% with the comparison to the previous work.

Related Content

Yair Wiseman. © 2021. 11 pages.
Mário Pereira Véstias. © 2021. 15 pages.
Mahfuzulhoq Chowdhury, Martin Maier. © 2021. 15 pages.
Gen'ichi Yasuda. © 2021. 12 pages.
Alba J. Jerónimo, María P. Barrera, Manuel F. Caro, Adán A. Gómez. © 2021. 19 pages.
Gregor Donaj, Mirjam Sepesy Maučec. © 2021. 14 pages.
Udit Singhania, B. K. Tripathy. © 2021. 11 pages.
Body Bottom