Location Privacy in Sensor Networks Against a Global Eavesdropper

Mehta, Kusum; Liu, Donggang; Wright, Matthew

doi:10.1109/icnp.2007.4375862

Cited by 182 publications

(214 citation statements)

References 20 publications

Supporting

Mentioning

206

Contrasting

Order By: Relevance

“…This is in contrast with earlier work, where a set of fake sources is chosen at deployment time, is known a priori or requires network-wide knowledge to generate [7]. Note that, ideally, for maximum privacy, every node apart from the real source needs to be a fake source [13]. However, such an approach is not energy-efficient.…”

Section: Design Decisionsmentioning

confidence: 50%

“…For example, Mehta et al [13] assume that an attacker has a small wireless network of his own that can capture messages and shows how the location of source nodes can be inferred once messages have been intercepted. In another work, Kamath et al [8] presented an approach that used triangulation to locate targets.…”

Section: Introductionmentioning

confidence: 99%

“…However, current algorithms that are based on the fake source technique are of limited relevance, since they make a number of assumptions which limit their practicality. For example, (i) fake sources are often known a priori or arbitrarily chosen [13], (ii) fake sources are selected based on a prohibitively expensive pre-configuration phase or the need to have network-wide knowledge [7], (iii) no common attacker model is adopted, making it is difficult to understand the efficiency of proposed algorithms [7] [13] [10], and (iv) there is a lack of results demonstrating the level of privacy that can be afforded by the fake source technique.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the Use of Fake Sources for Source Location Privacy: Trade-Offs Between Energy and Privacy

Jhumka

Leeke

Shrestha

2011

The Computer Journal

View full text Add to dashboard Cite

Section: Design Decisionsmentioning

confidence: 50%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the Use of Fake Sources for Source Location Privacy: Trade-Offs Between Energy and Privacy

Jhumka

Leeke

Shrestha

2011

The Computer Journal

View full text Add to dashboard Cite

“…With the collected network-wide traffic, the attacker can conduct traffic analysis to identify the potentially real sources. Under such a strong attack model, the corresponding countermeasures focus on making all sensors [4], [5], [6], [7] or k sensors [4] transmit (dummy) messages at the same or similar pattern to disguise the real source location. In general, such approaches are more robust to traffic analysis, at the cost of higher message overhead.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, a passive global attack model has been studied [4], [5], [6], [7], where the attacker is assumed to be capable of monitoring all the network traffic by either deploying simple sensors covering the network or employing powerful site surveillance devices with hearing range no less than the network radius. With the collected network-wide traffic, the attacker can conduct traffic analysis to identify the potentially real sources.…”

Section: Introductionmentioning

confidence: 99%

An Active Global Attack Model for Sensor Source Location Privacy: Analysis and Countermeasures

Yang

Zhu

LaPorta

2009

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

Abstract-Source locations of events are sensitive contextual information that needs to be protected in sensor networks. Previous work focuses on either an active local attacker that traces back to a real source in a hop-by-hop fashion, or a passive global attacker that eavesdrops/analyzes all network traffic to discover real sources. An active global attack model, which is more realistic and powerful than current ones, has not been studied yet. In this paper, we not only formalize this strong attack model, but also propose countermeasures against it.As case studies, we first apply such an attack model to previous schemes, with results indicating that even these theoretically sound constructions are vulnerable consequently. We then propose a lightweight dynamic source anonymity scheme that seamlessly switches from a statistically strong source anonymity scheme to a k-anonymity scheme on demand. Moreover, we enhance the traditional k-anonymity scheme with a spatial ldiversity capability by cautiously placing fake sources, to thwart attacker's on-site examinations. Simulation results demonstrate that the attacker's gain in our scheme is greatly reduced when compared to the k-anonymity scheme.

show abstract

Protecting source–location privacy based on multirings in wireless sensor networks

Yao

Kang

Deng

et al. 2013

Concurrency and Computation

View full text Add to dashboard Cite

Summary Wireless sensor networks (WSNs) are expected to be widely deployed to collect data in military and civilian applications. Because of the open nature of WSNs, it is easy for an adversary to eavesdrop sensor communication and to trace packets, causing privacy concern for the sensor devices. The privacy issue, especially location privacy, can be critical for monitoring applications in WSNs. A unique case of location privacy is that of the sources, which are vulnerable of being captured and target attacks. In this paper, we propose a scheme to protect the source–location privacy based on a novel use of multiring topology. To achieve a uniformly distributed traffic pattern throughout the network, the source node selects two random rings each from its external rings and internal rings and a set of two random angles with a sum of 180 degrees for each packet. The packet is sent at one of the angles in each ring. Fake packets are also injected to provide path diversity and to increase attack time, which is defined as the time that the adversary takes to locate the source successfully. These techniques protect the source node from packet tracing attacks as well as traffic analysis attacks. Our analysis and simulations, performed in the NS2 simulator and MATLAB, demonstrate that our proposed scheme can provide better spatial traffic evenness and longer attack time, along with a modest increase of hop count and energy consumption.Copyright © 2013 John Wiley & Sons, Ltd.

show abstract

Location Privacy in Sensor Networks Against a Global Eavesdropper

Cited by 182 publications

References 20 publications

On the Use of Fake Sources for Source Location Privacy: Trade-Offs Between Energy and Privacy

On the Use of Fake Sources for Source Location Privacy: Trade-Offs Between Energy and Privacy

An Active Global Attack Model for Sensor Source Location Privacy: Analysis and Countermeasures

Protecting source–location privacy based on multirings in wireless sensor networks

Contact Info

Product

Resources

About