Privacy-aware routing in sensor networks

Wang, Haodong; Sheng, Bo; Li, Qun

doi:10.1016/j.comnet.2009.02.002

Cited by 77 publications

(61 citation statements)

References 19 publications

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“…Consequently, real intervals are likely to have more short-long patterns than fake intervals. Indeed, our simulation results agree with equations (3) and (8).…”

Section: Case Studysupporting

confidence: 88%

Statistical Framework for Source Anonymity in Sensor Networks

Alomair

Clark

Cuéllar

et al. 2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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Abstract-In this work, we investigate the security of anonymous wireless sensor networks. To lay down the foundations of a formal framework, we develop a new model for analyzing and evaluating anonymity in sensor networks. The novelty of the proposed model is twofold: first, it introduces the notion of "interval indistinguishability" that is stronger than existing notions; second, it provides a quantitative measure to evaluate anonymity in sensor networks. The significance of the proposed model is that it captures a source of information leakage that cannot be captured using existing models. By analyzing current anonymous designs under the proposed model, we expose the source of information leakage that is undetectable by existing models and quantify the anonymity of current designs. Finally, we show how the proposed model can lead to a general and intuitive direction for improving the anonymity of current designs.

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“…Consequently, real intervals are likely to have more short-long patterns than fake intervals. Indeed, our simulation results agree with equations (3) and (8).…”

Section: Case Studysupporting

confidence: 88%

Statistical Framework for Source Anonymity in Sensor Networks

Alomair

Clark

Cuéllar

et al. 2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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“…(13) the node selects the next hop node based on ( , ) ( = ). (14) end for (15) the node sends the packets to the node (16) end while (17) …”

Section: The Limited Range Of the Pheromones-based Eelpmentioning

confidence: 99%

Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony Optimization

Zhou

Wen

2014

International Journal of Distributed Sensor Networks

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Wireless sensor networks consist of various sensors with limited power, which collect different useful and privately relevant information. We pay attention to some issues related to sensor's location privacy. Ant colony optimization provides a natural and intrinsic way of exploration of search space for preserving sensor's location privacy. In this paper, we focus on protecting the sensor's location by introducing suitable modifications to sensor routing to make it difficult for an eavesdropper to find the original location. And we propose an energy efficient preserving sensor's location privacy based on ant colony optimization scheme, which is a flexible routing strategy to protect the sensor's location. Simulation results show that our strategy can efficiently reduce the chance of packets being detected and prolong the network lifetime. And the adversary can find it difficult to find the exact location of the source node.

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“…Our work complements both Confab and SmokeScreen by introducing privacy regulation controls that deal with data sharing. Another field of privacy research focuses on privacy-aware routing in ubiquitous networks [9,52]. These schemes complement our approach to provide privacy when multi-hop routing is required.…”

Section: State Of the Artmentioning

confidence: 99%

Privacy-triggered communications in pervasive social networks

Jadliwala

Freudiger

Aad³

et al. 2011

2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks

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Pervasive communications extend social networking by enabling users to share local contextual data in a peer-to-peer fashion by using their mobile devices. Such pervasive social networks bring along new privacy challenges in terms of location and data privacy. In order to address some of these challenges, there has been research on privacy preserving mechanisms and on privacy measurement techniques. However, little has been done so far on conditioning users' communications to their privacy. For example, a user may communicate personal information when he feels private enough and refrain from communicating when he feels "exposed". In this paper, we introduce the concept of privacy-triggered communications that enables users to make communication decisions based on their privacy level. To do so, we provide tools and techniques to visualize privacy and control communications. We evaluate existing privacy metrics and analyze with simulations the network performance when the underlying communications are privacy-triggered. We also provide an implementation of the concept on a testbed of mobile devices.

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Privacy-aware routing in sensor networks

Cited by 77 publications

References 19 publications

Statistical Framework for Source Anonymity in Sensor Networks

Statistical Framework for Source Anonymity in Sensor Networks

Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony Optimization

Privacy-triggered communications in pervasive social networks

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