An Efficient Privacy-Preserving Scheme against Traffic Analysis Attacks in Network Coding

Fan, Yanfei; Jiang, Yixin; Zhu, Haojin; Shen, Xuemin

doi:10.1109/infcom.2009.5062146

Cited by 75 publications

(45 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors classify adversaries having a partial view of the network as local adversaries while those ones having a total view of the network as global adversaries. An example solution against global attackers is the use of Network Coding [7] which have the disadvantage of increasing complexity in the sensing nodes. Most of the solutions proposed defend the network against local adversaries using techniques such as random walk [8], cyclic entrapment [9], delaying the packet [10] or limiting node detectability [3,11].…”

Section: Related Workmentioning

confidence: 99%

Optimal data compression for lifetime maximization in wireless sensor networks operating in stealth mode

et al. 2015

View full text Add to dashboard Cite

Contextual privacy in Wireless Sensor Networks (WSNs) is concerned with protecting contextual information such as whether, when, and where the data is collected. In this context, hiding the existence of a WSN from adversaries is a desirable feature. One way to mitigate the sensor nodes' detectability is by limiting the transmission power of the nodes (i.e., the network is operating in the stealth mode) so that adversaries cannot detect the existence of the WSN unless they are within the sensing range of the WSN. Position dependent transmission power adjustment enables the network to maintain its level of stealth while allowing nodes farther from the network boundary to use higher transmission power levels. To mitigate the uneven energy dissipation characteristic, nodes that cannot dissipate their energies on communications reduce the amount of data they generate through computation so that the relay nodes convey less data. Dynamic data compression/decompression strategies reduce the amount of data to be communicated, thus, they achieve better energy savings when compared to static compression/decompression of data in which the data is always compressed independently of the power transmission strategy. In this study, we investigate various data compression strategies to maximize the lifetime of WSNs employing contextual privacy measures through a novel Mathematical Programming framework.

show abstract

Section: Related Workmentioning

confidence: 99%

Optimal data compression for lifetime maximization in wireless sensor networks operating in stealth mode

et al. 2015

View full text Add to dashboard Cite

show abstract

“…(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

View full text Add to dashboard Cite

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.

show abstract

“…Fan et al [21] preserve location privacy by using homomorphic encryption operations to prevent traffic analysis in network coding. In [22], each cluster header can filter the dummy packets received from the sensor nodes of its cluster to reduce the number of dummy packets.…”

Section: Related Workmentioning

confidence: 99%

A Cloud-Based Scheme for Protecting Source-Location Privacy against Hotspot-Locating Attack in Wireless Sensor Networks

Mahmoud

Shen

2012

IEEE Trans. Parallel Distrib. Syst.

128

View full text Add to dashboard Cite

Abstract-In wireless sensor networks, adversaries can make use of traffic information to locate the monitored objects, e.g., to hunt endangered animals or kill soldiers. In this paper, we first define a hotspot phenomenon that causes an obvious inconsistency in the network traffic pattern due to a large volume of packets originating from a small area. Second, we develop a realistic adversary model, assuming that the adversary can monitor the network traffic in multiple areas, rather than the entire network or only one area. Using this model, we introduce a novel attack called Hotspot-Locating where the adversary uses traffic analysis techniques to locate hotspots. Finally, we propose a cloud-based scheme for efficiently protecting source nodes' location privacy against HotspotLocating attack by creating a cloud with an irregular shape of fake traffic, to counteract the inconsistency in the traffic pattern and camouflage the source node in the nodes forming the cloud. To reduce the energy cost, clouds are active only during data transmission and the intersection of clouds creates a larger merged cloud, to reduce the number of fake packets and also boost privacy preservation. Simulation and analytical results demonstrate that our scheme can provide stronger privacy protection than routing-based schemes and requires much less energy than global-adversary-based schemes.

show abstract

An Efficient Privacy-Preserving Scheme against Traffic Analysis Attacks in Network Coding

Cited by 75 publications

References 22 publications

Optimal data compression for lifetime maximization in wireless sensor networks operating in stealth mode

Optimal data compression for lifetime maximization in wireless sensor networks operating in stealth mode

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

A Cloud-Based Scheme for Protecting Source-Location Privacy against Hotspot-Locating Attack in Wireless Sensor Networks

Contact Info

Product

Resources

About