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Enhancing Reliability and Efficiency of Detecting Malicious Data Injection in Wireless Sensor Networks

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Bibliographic Data

ID22197789
AuthorsVinay Kumar Shrivastava (Amicable Knowledge Solution University), Vinay Shrivastava, Mukta Bhatele (Amicable Knowledge Solution University), Akhilesh A Waoo (0000-0001-6788-710X, Amicable Knowledge Solution University)
Year2024
Volume5
Issue5
Publication date2024-05-31
Open AccessYes
TypeARTICLE
VenueShodhKosh: Journal of Visual and Performing Arts (JOURNAL)
Journal identifiersISSN: 2582-7472 • E-ISSN: 2582-7472
PublisherGranthaalayah Publications and Printers (PUBLISHER • IN)
DOI10.29121/shodhkosh.v5.i5.2024.1900
OpenAlexW4402483170
LanguageEN
References cited16

Wireless sensor networks (WSNs) have gained significant attention in recent years due to their versatile applications ranging from wildlife tracking to environmental monitoring. However, WSNs are susceptible to various challenges such as hardware failures, communication link faults, and malicious attacks, which can significantly affect their reliability and performance. In this paper, we focus on the issue of malicious data injection in WSNs and propose a survey to explore its impact on network security and performance

Computer network · Computer security · Reliability engineering · Telecommunications · Wireless · Wireless sensor network · Computer Science · Energy Efficient Wireless Sensor Networks · Engineering · Network Security and Intrusion Detection · Security in Wireless Sensor Networks

Highly citedNo

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