Boosting anonymity in wireless sensor networks

Kumar, Vicky; Kumar, Ashok; Singh, Madan G.

doi:10.1109/ispcc.2017.8269701

Cited by 7 publications

(6 citation statements)

References 10 publications

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“…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%

“…Some nodes are designated across the network to temporarily store data until BS moves close to them to collect the data. On the other hand, Kumar et al [32] divide the network into multi-layer rings and let BS move freely and send its location to nodes in the central ring. Other nodes query the central ring to learn about the actual location of BS.…”

Section: ) Exploiting Bs Mobilitymentioning

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: A Traffic Analysis Threatmentioning

confidence: 99%

Section: ) Exploiting Bs Mobilitymentioning

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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“…Liu et al [53] propose having a mobile sink to move in a semi-random circular pattern to collect the data from selected nodes that are storing the data until the BS becomes within reach. Kumar et al in [54] divide the network into multi-layer rings. A mobile BS sends its new location to the nodes in the central ring.…”

Section: I) Bs Replication/relocationmentioning

confidence: 99%

“…A lottery model is employed to choose a neighbor to forward the fake packets to and cause local hot spots that divert the adversary's attention away from the BS. Kumar et al [54] have proposed generating and routing fake packets over a multi-layer ring. The BS sends a fake packet to the farthest ring from its current location to trigger a fake flood within the selected ring.…”

Section: Iv) Introducing Cover-up Trafficmentioning

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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“…Also, they used the Hamiltonian cycle to make the SN appears as a normal node in the cycle. In [14] the researchers used a ring nodes around the mobile SN to store its location information. Thus, all the nodes can communicate with the SN via this ring.…”

Section: Related Workmentioning

confidence: 99%

Secure Mobile Sink Node location in Wireless Sensor Network using Dynamic Routing Protocol

Zarzoor

Abdullah²,

Shiltagh³

2019

JAARU

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The important device in the Wireless Sensor Network (WSN) is the Sink Node (SN). That is used to store, collect and analyze data from every sensor node in the network. Thus the main role of SN in WSN makes it a big target for traffic analysis attack. Therefore, securing the SN position is a substantial issue. This study presents Security for Mobile Sink Node location using Dynamic Routing Protocol called (SMSNDRP), in order to increase complexity for adversary trying to discover mobile SN location. In addition to that, it minimizes network energy consumption. The proposed protocol which is applied on WSN framework consists of 50 nodes with static and mobile SN. The results havw shown in each round a dynamic change in the route to reach mobile SN, besides prolong the network lifetime in compare with static SN.

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Boosting anonymity in wireless sensor networks

Cited by 7 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

Secure Mobile Sink Node location in Wireless Sensor Network using Dynamic Routing Protocol

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