2014 IEEE International Conference on Computational Intelligence and Computing Research 2014
DOI: 10.1109/iccic.2014.7238292
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Analytical approach towards packet drop attacks in mobile ad-hoc networks

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Cited by 7 publications
(5 citation statements)
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“…This continuous Bayes Theorem and prior probability-based selfish node detection schemes was determined to be superior in terms of packet delivery rate, throughput, total overhead and control overhead under a varying number of mobile nodes and selfish nodes in the network. [12], Furthermore, an Erlang Factor-based selfish node detection approach was proposed for determining the conditional probability that suits well for the effective isolation selfish intent from the network [13]. This Erlang Factor-based selfish node detection approach was also determined to be superior in terms of packet delivery rate, throughput, total overhead and control overhead under a varying number of mobile nodes and selfish nodes in the network.…”
Section: Related Workmentioning
confidence: 99%
“…This continuous Bayes Theorem and prior probability-based selfish node detection schemes was determined to be superior in terms of packet delivery rate, throughput, total overhead and control overhead under a varying number of mobile nodes and selfish nodes in the network. [12], Furthermore, an Erlang Factor-based selfish node detection approach was proposed for determining the conditional probability that suits well for the effective isolation selfish intent from the network [13]. This Erlang Factor-based selfish node detection approach was also determined to be superior in terms of packet delivery rate, throughput, total overhead and control overhead under a varying number of mobile nodes and selfish nodes in the network.…”
Section: Related Workmentioning
confidence: 99%
“…Researchers proposed various security solutions to deal with this attack, but our study includes some of them based on the works carried out within these recent years. VishvasKshirsagar et al [15] proposed a solution to avoid packet dropping by anode using Bayes' Theorem and Prior probability method. When a node found to drop packets, it is eliminated from the network.…”
Section: Related Workmentioning
confidence: 99%
“…al. [19] proposed method finds the un-trusted (packet dropper) node from the network, if any untrusted node found, the performance of the network can be improved by eliminate that node using Bayes' Theorem and Prior probability. This mathematical model secure routing in an independent environment because of it uses heuristic rather than deterministic model.…”
Section: Recent Prevention and Detection Techniquesmentioning
confidence: 99%