Proceedings of the 13th ACM Symposium on QoS and Security for Wireless and Mobile Networks 2017
DOI: 10.1145/3132114.3132120
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An Efficient Source Anonymity Technique based on Exponential Distribution against a Global Adversary Model using Fake Injections

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Cited by 4 publications
(4 citation statements)
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“…An algorithm called EDAD (Exponential Dummy Adaptive Distribution) was introduced in [24] for location privacy against global attacks. The proposed scheme depends on the exponential distribution of event arrival to control the packet sending rate.…”
Section: Fig 3 Taxonomy Of Contextual Unobservability In Wsnmentioning
confidence: 99%
“…An algorithm called EDAD (Exponential Dummy Adaptive Distribution) was introduced in [24] for location privacy against global attacks. The proposed scheme depends on the exponential distribution of event arrival to control the packet sending rate.…”
Section: Fig 3 Taxonomy Of Contextual Unobservability In Wsnmentioning
confidence: 99%
“…In EDAD [57], instead of using a uniform distribution as in CAD, DAD, and CAD techniques, it employs an exponential distribution to reduce the overall overhead of the network. A set of dummy packets is transmitted following the exponential distribution.…”
Section: Exponential Dummy Adaptive Distribution (Edad)mentioning
confidence: 99%
“…Moreover, the adversary has enough computation to feed the created binary matrix into a neural network model, which can disclose the existence of the asset. Lastly, it employs a steganography entropy equation based on probabilities in trying to expose the location of the source node [55][56][57].…”
Section: Global Adversary Modelsmentioning
confidence: 99%
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