Averting In-Situ Adversaries in Wireless Sensor Network Using Deceptive Traffic

Ebrahimi, Yousef; Younis, Mohamed

doi:10.1109/glocom.2011.6134398

Cited by 4 publications

(3 citation statements)

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“…It should be mentioned that the countermeasures aim to improve the BS anonymity. Using the Success Rate of an adversary's finding of the BS as a metric [44], [25], our experiments show that such a rate is 60%, 48% and 20%, for the baseline, RW and DFP, respectively. Thus, the 12% and 40% reductions achieved by RW and DFP come at a high price in terms of network lifetime.…”

Section: B Energy Overheadmentioning

confidence: 96%

“…Many of these countermeasures aim to change the traffic pattern in the network to confuse the adversary [12], [13], [14], [15], [16], [17], [18], [19], [20], [21]. Others, e.g., [13], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], and [33] introduce extra fake packets to hide the data routes and hence lead the adversary to wrong locations. In almost all countermeasures, improving the BS location anonymity comes at the expense of higher transmission rates by the individual nodes.…”

Section: A Traffic Analysis Threatmentioning

confidence: 99%

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Energy-Aware Cross-Layer Technique for Countering Traffic Analysis Attacks on Wireless Sensor Network

Ebrahimi

Younis

2022

IEEE Access

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The vital role of a base station (BS) in a wireless sensor network (WSN) has made it a favorable target in hostile environments. Despite attempts to physically make the BS hidden to prying eyes, traffic analysis would give an adversary insight into the network topology and the BS whereabouts. Evidence Theory (ET) is a prominent methodology for performing such an analysis. Unfortunately, all existing countermeasures not only overlook patterns of energy usage in WSNs, but also impose untamed overhead that shortens the WSN lifetime. In this paper, we first propose a novel energy-aware and multi-zone scheme to significantly reduce the overhead of countermeasures on highly overburdened nodes in the BS proximity, and hence significantly improve the WSN lifespan. We also show how our proposed scheme improves resilience against ET via diminishing the collected evidence by an adversary. We then propose a novel cross-layer technique that exploits transmission range adjustment to confuse the adversary about the data paths. This results in a versatile and effective countermeasure that significantly improves anonymity of the BS. The performance is validated through extensive simulation experiments.

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Section: B Energy Overheadmentioning

confidence: 96%

Section: A Traffic Analysis Threatmentioning

confidence: 99%

Energy-Aware Cross-Layer Technique for Countering Traffic Analysis Attacks on Wireless Sensor Network

Ebrahimi

Younis

2022

IEEE Access

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“…In [64], we introduced Success Rate as a new metric to compare the effectiveness of countermeasures against an insitu adversary. In a pool of random topologies, it depicts the number of times an adversary finds the location of BS.…”

Section: ) Success Ratementioning

confidence: 99%

Traffic Analysis Through Spatial and Temporal Correlation: Threat and Countermeasure

Ebrahimi

Younis

2021

IEEE Access

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The base station (BS) in a Wireless Sensor Network (WSN) plays the role of a data sink, a point of contact with the upper hierarchy, and an in-situ command and control unit. Such an essential role makes the BS a target for attacks in a hostile environment. Even if its presence is camouflaged, an adversary may locate the BS by applying traffic analysis. Basically, the adversary can intercept radio transmissions and correlate them using techniques like Evidence theory (ET). The ET attack model only uses spatial aspects of intercepted transmissions in order to deduce knowledge about data routes. In this paper, we propose an enhanced version of ET (EET) which utilizes temporal correlation of transmissions to draw further valuable insight about the network topology. Analyzing ET and extending its capability are very fundamental for the network in order to avoid the illusive sense of security by guarding against a weaker attack model than what could be potentially launched. Moreover, we develop a novel and effective countermeasure, called Assisted Deception (AD) that needs no involvement of BS and is resilient to both ET and EET. By implementing AD, nodes coordinate and inject timed deceptive packets to target temporal correlation of consecutive transmissions that EET relies on. The attack and countermeasure are validated through extensive simulation experiments.

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Location Privacy in Wireless Sensor Networks

Baroutis

Younis

2019

Studies in Systems, Decision and Control

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Averting In-Situ Adversaries in Wireless Sensor Network Using Deceptive Traffic

Cited by 4 publications

References 10 publications

Energy-Aware Cross-Layer Technique for Countering Traffic Analysis Attacks on Wireless Sensor Network

Energy-Aware Cross-Layer Technique for Countering Traffic Analysis Attacks on Wireless Sensor Network

Traffic Analysis Through Spatial and Temporal Correlation: Threat and Countermeasure

Location Privacy in Wireless Sensor Networks

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