Using randomized response techniques for privacy-preserving data mining
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
State-of-the-art in privacy preserving data mining
ACM SIGMOD Record
Deriving private information from randomized data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Remote Physical Device Fingerprinting
IEEE Transactions on Dependable and Secure Computing
Securing vehicular ad hoc networks
Journal of Computer Security - Special Issue on Security of Ad-hoc and Sensor Networks
Wireless device identification with radiometric signatures
Proceedings of the 14th ACM international conference on Mobile computing and networking
Collaboration in Opportunistic Networks
Collaboration in Opportunistic Networks
Barter trade improves message delivery in opportunistic networks
Ad Hoc Networks
De-anonymizing Social Networks
SP '09 Proceedings of the 2009 30th IEEE Symposium on Security and Privacy
Privacy issues in vehicular ad hoc networks
PET'05 Proceedings of the 5th international conference on Privacy Enhancing Technologies
Privacy-enhanced social-network routing
Computer Communications
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A delay-tolerant network is a mobile ad hoc network where the message dissemination is based on the store-carry-and-forward principle. This principle raises new aspects of the privacy problem. In particular, an attacker can build a user profile and trace the nodes based on this profile even if the message exchange protocol provides anonymity. In this paper, an attacker model is presented and some proposed attackers are implemented. We analyze the efficiency of both the attacks and the proposed defense mechanism, called Hide-and-Lie Strategy. We show that without any defense mechanism, the nodes are traceable, but with the Hide-and-Lie Strategy, the success probability of an attacker can be made equal to the success probability of the simple guessing. Furthermore, in some scenarios, the Hide-and-Lie Strategy increases the message delivery ratio. The number of downloaded messages and the maximal memory size required to apply the proposed privacy defense mechanism is also investigated.