Abstract
Vampire attacks on mobile nodes are considered as the potential threat since they influence the extent of connectivity maintained between them and they induce higher energy drain in the network. Vampire attack is also identified as the significant misbehaviour of mobile nodes as they are extensively exploiting the features of the incorporated routing protocol. The Fuzzy Rough Set (FRS) is the best option for quantifying uncertain behaviour of mobile nodes and thus this FRS based probabilistic variable precision is used in detecting vampire attacks. Fuzzy Rough Set Derived Probabilistic Variable Precision-based Mitigation Technique (FRS-PV-MT) is contributed in this paper for resolving the issues that could arise due to the stretch attack which is a noteworthy kind of vampire attack that needs to be addressed for reducing the latency of packet delivery due to the unnecessary elongation of the path in the network. FRS-PV-MT is better in detecting vampire attacks as they formulate greater and lower bounds of probabilistic decision variable based on the estimation of crisp factor determined using fuzzy membership grades. Simulation studies of FRS-PV-MT confirm its efficacy by exceptionally improving the throughput percentage rate by 12% and remarkably reducing the total overhead by 10% under varying data rate. The results also prove that FRS-PV-MT is remarkable over the compared baseline attack detection schemes by sustaining its performance by enhancing PDR by 12% and minimizing average end-to-end delay by 17%.
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Srikaanth, P.B., Nagarajan, V. Fuzzy Rough Set Derived Probabilistic Variable Precision-Based Mitigation Technique for Vampire Attack in MANETs. Wireless Pers Commun 121, 1085–1101 (2021). https://doi.org/10.1007/s11277-021-08673-z
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DOI: https://doi.org/10.1007/s11277-021-08673-z