Enhancing Reliability and Efficiency of Detecting Malicious Data Injection in Wireless Sensor Networks
An in-Depth Analysis
Datos Bibliográficos
| ID | 22197789 |
|---|---|
| Autores | Vinay 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) |
| Año | 2024 |
| Volumen | 5 |
| Número | 5 |
| Fecha de publicación | 2024-05-31 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | ShodhKosh: Journal of Visual and Performing Arts (JOURNAL) |
| Identificadores de la revista | ISSN: 2582-7472 • E-ISSN: 2582-7472 |
| Editorial | Granthaalayah Publications and Printers (PUBLISHER • IN) |
| DOI | 10.29121/shodhkosh.v5.i5.2024.1900 |
| OpenAlex | W4402483170 |
| Idioma | EN |
| Referencias citadas | 16 |
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
| Altamente citado | No |
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