From nowhere to somewhere: Protecting end-to-end location privacy in wireless sensor networks

Chen, Honglong; Lou, Wei

doi:10.1109/pccc.2010.5682341

Cited by 39 publications

(23 citation statements)

References 16 publications

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“…Some have investigated the problem of base station-location privacy [22] and providing location privacy to multiple nodes at once [23]. Others have focused on more powerful attackers, such as global attackers [7] or coordinated multiple attackers [14].…”

Section: Related Workmentioning

confidence: 99%

A Dynamic Fake Source Algorithm for Source Location Privacy in Wireless Sensor Networks

Bradbury

Leeke

Jhumka

2015

2015 IEEE Trustcom/BigDataSE/Ispa

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Original citation:Bradbury, Matthew S., Leeke, Matthew and Jhumka, Arshad (2015) A dynamic fake source algorithm for source location privacy in wireless sensor networks. Copies of full items can be used for personal research or study, educational, or not-for profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.Publisher's statement: "© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works." A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP url' above for details on accessing the published version and note that access may require a subscription. Abstract-Wireless sensor networks (WSNs) are commonly used in asset monitoring applications, where it is often desirable for the location of the asset being monitored to be kept private. The source location privacy (SLP) problem involves protecting the location of a WSN source node from an attacker who is attempting to locate it. Among the most promising approaches to the SLP problem is the use of fake sources, with much existing research demonstrating their efficacy. Despite the effectiveness of the approach, the most effective algorithms providing SLP require network and situational knowledge that makes their deployment impractical in many contexts. In this paper, we develop a novel dynamic fake sources-based algorithm for SLP. We show that the algorithm provides state-of-the-art levels of location privacy under practical operational assumptions.

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Section: Related Workmentioning

confidence: 99%

A Dynamic Fake Source Algorithm for Source Location Privacy in Wireless Sensor Networks

Bradbury

Leeke

Jhumka

2015

2015 IEEE Trustcom/BigDataSE/Ispa

View full text Add to dashboard Cite

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“…The techniques described in [14] and [15] cannot protect against the global attacker. (2)Sink's location privacy protection A variety of approaches have been used for this purpose, such as fake message injection, randomization of forwarding delay, and use of fake sinks in order to hide the real sinks' positions [3,5,6,[23][24][25][26][27][28][29][30][31][32][33]. For example, Nezhad et al [24] proposed an anonymous topology discovery protocol where all nodes were allowed to forward route discovery messages and incoming/outgoing labels assigned to nodes.…”

Section: Related Workmentioning

confidence: 99%

“…This scheme provides a balance between the packet delivery latency and the sink's location privacy. Yao et al [32] and Chen et al [33] studied further the random-walk approach of [31]. However, Li et al, Yao, and Chen and Lou [31][32][33] cannot resist passive traffic analysis attacks under a global attacker.…”

Section: Related Workmentioning

confidence: 99%

“…Yao et al [32] and Chen et al [33] studied further the random-walk approach of [31]. However, Li et al, Yao, and Chen and Lou [31][32][33] cannot resist passive traffic analysis attacks under a global attacker. Compared to [31][32][33], our ATA scheme uses fake messages instead of the random-walk method and makes each node have the same traffic volume.…”

Section: Related Workmentioning

confidence: 99%

“…However, Li et al, Yao, and Chen and Lou [31][32][33] cannot resist passive traffic analysis attacks under a global attacker. Compared to [31][32][33], our ATA scheme uses fake messages instead of the random-walk method and makes each node have the same traffic volume. Thus, our scheme ATA can resist traffic analysis attacks launched by a global attacker.…”

Section: Related Workmentioning

confidence: 99%

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Anti-traffic analysis attack for location privacy in WSNs

Ying

Makrakis

Mouftah

2014

J Wireless Com Network

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Traditional encryption and authentication methods are not effective in preserving a sink's location privacy from a global adversary that is monitoring the network traffic. In this paper, we first propose a novel anti-traffic analysis (ATA) method to preserve the sink's location privacy. In order to confuse a local or global adversary, each node generates dummy messages, the number of which is dependent on the number of the node's children. Hence, ATA is able to prevent the adversary from acquiring valuable information on the sink's location through the traffic analysis attack. However, a larger number of dummy messages lead to consumption of extra energy. Then, we design our improved ATA (IATA) in such a way that we select some sensors to act as fake sinks, to ensure that sensors around fake sinks generate dummy messages and discard received dummy messages. Since the problem of the optimal fake sinks' placement is nondeterministic polynomial time (NP)-hard, we employ local search heuristics based on network traffic and security entropy. Performance analysis of the ATA scheme can protect the sink's location privacy, and IATA scheme can reduce energy consumption.

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Phantom walkabouts: A customisable source location privacy aware routing protocol for wireless sensor networks

Bradbury

Jhumka

2019

Concurrency and Computation

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Source location privacy (SLP) is an important property for a large class of security-critical wireless sensor network (WSN) applications such as monitoring and tracking. In the seminal work on SLP, phantom routing was proposed as a viable approach to address SLP. However, recent work has shown some limitations of phantom routing such as poor data yield and low SLP. In this paper, we propose phantom walkabouts, a novel and more general version of phantom routing, which performs phantom routes of variable lengths. Through extensive simulations, we show that phantom walkabouts provides high SLP level than phantom routing under specific network configuration. KEYWORDSbiased random walk, phantom routing, phantom walkabouts, source location privacy, wireless sensor networks INTRODUCTIONA wireless sensor network (WSN) consists of a number of tiny devices, known as sensor nodes, that can sense different attributes of the environment and use radio signals to communicate among themselves. WSNs have enabled the development of many novel applications, including asset monitoring, 1 target tracking, 2 and environment control 3 among others, with low levels of intrusiveness. They are also expected to be deployed in safety and security-critical systems, including military 4 and medical services. 5 The communication protocols used in the WSNs must therefore meet a set of stringent security and privacy requirements, dependent on the application.Threats to privacy in monitoring applications can be considered along two dimensions, ie, (1) content-based threats and (2) context-based threats. Content-based privacy threats relate to use of the content of the messages broadcast by sensor nodes, such as an attacker gaining the ability to read an eavesdropped encrypted message. There has been much research addressing the issue of providing content privacy, eg, SPINS, 6 with most efforts in this area focusing on the use of cryptographic techniques. On the other hand, context-based privacy threats focus on the context in which messages are broadcast and how information can be observed or inferred by attackers. Context is a multi-attribute concept that encompasses situational aspects of broadcast messages, including environmental and temporal information.It is often desirable for the source of sensed information to be kept private in a WSN. For example, in a military application, a soldier transmitting messages may unintentionally disclose their location, even when encryption is used. Another example is during the monitoring of endangered species where poachers may be tempted to infer the location of the animal to capture it. Real world examples include monitoring badgers 2 and the WWF's Wildlife Crime Technology Report, 7 both of which would likely benefit from a context-based security measure. In this paper, we focus on protecting the source location.Techniques that protect this source location are said to provide source location privacy (SLP). SLP is important in many application domains, though it is of utmost concern in security-critica...

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From nowhere to somewhere: Protecting end-to-end location privacy in wireless sensor networks

Abstract: Wireless sensor networks (WSNs)

Cited by 39 publications

References 16 publications

A Dynamic Fake Source Algorithm for Source Location Privacy in Wireless Sensor Networks

A Dynamic Fake Source Algorithm for Source Location Privacy in Wireless Sensor Networks

Anti-traffic analysis attack for location privacy in WSNs

Phantom walkabouts: A customisable source location privacy aware routing protocol for wireless sensor networks

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