Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55015
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Wireless Sensor Networks (WSNs) consist of numerous low-power, low-cost sensor nodes deployed in environments where physical monitoring and security are major challenges. Due to their wireless communication medium, dynamic topology, and limited computational resources, WSNs are highly vulnerable to attacks such as spoofing, Sybil attacks, selective forwarding, replay, and node capture. Authentication, therefore, becomes essential to ensure that data originates from legitimate nodes and remains unaltered during transmission. Various authentication mechanisms—including lightweight schemes, symmetric-key approaches, key management systems, and broadcast authentication techniques—have been proposed to address security requirements such as confidentiality, integrity, freshness, and availability. This report provides a comprehensive comparative analysis of major authentication protocols used in WSNs. It studies lightweight authentication schemes, ECC-based approaches, trust-based models, TESLA and µTESLA broadcast authentication systems, and identity-based and one-time signature mechanisms. These protocols are evaluated based on communication and computation overhead, robustness to packet loss, resistance to denial-of-service attacks, scalability, and suitability for real-time applications. The findings highlight that while lightweight schemes excel in energy efficiency, public-key-based mechanisms offer stronger security, and TESLA variants provide scalable broadcast authentication. The study concludes that no single method fulfills all requirements, emphasizing the need for hybrid, adaptive, and energy-efficient authentication mechanisms in future WSN deployments.
KEYWORDS
Publication Date
9/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...