Secure Data Collection in Clustered Wireless Sensor Networks using Fuzzy based scheme to detect Malicious Data Collector
Secure Data Collection in Clustered Wireless Sensor Networks using Fuzzy based scheme to detect Malicious Data Collector |
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© 2022 by IJETT Journal | ||
Volume-70 Issue-11 |
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Year of Publication : 2022 | ||
Authors : Y. Akshatha, A. S. Poornima, M. B. Nirmala |
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DOI : 10.14445/22315381/IJETT-V70I11P226 |
How to Cite?
Y. Akshatha, A. S. Poornima, M. B. Nirmala, "Secure Data Collection in Clustered Wireless Sensor Networks using Fuzzy based scheme to detect Malicious Data Collector," International Journal of Engineering Trends and Technology, vol. 70, no. 11, pp. 240-248, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I11P226
Abstract
Energy efficiency in a resource-constrained network like Wireless Sensor Network is one of the essential goals to be met for the successful adaptability of any new scheme proposed. Secure Data collection is one of the critical tasks in the wireless sensor network. This paper address a novel energy-efficient scheme for secure data collection in the clustered wireless sensor network. The proposed scheme ensures the confidentiality of the data from the point it is sensed until it reaches the central point, that is Base station. Also, the scheme offers a lightweight authentication method to detect malicious data collectors. The proposed authentication scheme first classifies the node using Fuzzy logic. If a classification is inconclusive, it invokes second-level authentication using ECC public key cryptosystem. The experimental results show that around 50% of the time, during multiple MDC visits, it is possible to complete the authentication without using second-level authentication, which involves computing intense cryptographic algorithms. Also, the time complexity experiments reveal that ECC-based authentication is efficient in terms of involved computations.
Keywords
Authentication, Mobile data Collector, Fuzzy rule, Malicious Node, Clustered WSN.
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