Location Privacy in Wireless Sensor Networks

Baroutis, Nikolaos; Younis, Mohamed

doi:10.1007/978-3-319-91146-5_18

Cited by 7 publications

(4 citation statements)

References 58 publications

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“…Results show that this technique performs better than the other similar approaches, 34,35 but it lacks the privacy of sink node. Authors in previous studies [36][37][38][39][40] have presented their solution to protect the location of base station; however, their techniques did not incorporate SDN in any way.…”

Section: Bs Location Privacy In Traditional Iot Wsnsmentioning

confidence: 99%

BSLPSDN: Base station location privacy via software‐defined networking (SDN) in wireless sensor networks

Abbas Bangash,

Iqbal,

Rubab

et al. 2023

Int J Communication

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SummaryBase station's location privacy in a wireless sensor network (WSN) is critical for information security and operational availability of the network. A key part of securing the base station from potential compromise is to secure the information about its physical location. This paper proposes a technique called base station location privacy via software‐defined networking (SDN) in wireless sensor networks (BSLPSDN). The inspiration comes from the architecture of SDN, where the control plane is separated from the data plane, and where control plane decides the policy for the data plane. BSLPSDN uses three categories of nodes, namely, a main controller to instruct the overall operations, a dedicated node to buffer and forward data, and lastly, a common node to sense and forward the packet. We employ three kinds of nodes to collaborate and achieve stealth for the base station and thus protecting it against the traffic‐analysis attacks. Different traits of the WSN including energy status and traffic density can actively be monitored by BSLPSDN, which positively affects the energy goals, expected life of the network, load on common nodes, and the possibility of creating diversion in the wake of an attack on the base station. We incorporated multiple experiments to analyze and evaluate the performance of our proposed algorithm. We use single controller with multiple sensor nodes and multiple controllers with multiple sensor nodes to show the level of anonymity of BS. Experiments show that providing BS anonymity via multiple controllers is the best method both in terms of energy and privacy.

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Section: Bs Location Privacy In Traditional Iot Wsnsmentioning

confidence: 99%

BSLPSDN: Base station location privacy via software‐defined networking (SDN) in wireless sensor networks

Abbas Bangash,

Iqbal,

Rubab

et al. 2023

Int J Communication

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show abstract

“…To our best knowledge, published countermeasures have assumed that an adversary applies the GSAT or ET model [8][13][14] [17]. GSAT is solely based on traffic volume, while ET utilizes only spatial correlation of consecutive transmissions.…”

Section: B Comparison With Prior Workmentioning

confidence: 99%

“…Assessing the BS anonymity has been the focus of studies such as [8][12]- [24] [63] and is in general a byproduct of the traffic analysis model. In this paper, ET is pursued as the underlying traffic analysis model where each intercepted transmission is deemed as an evidence of direct communication between a sender-receiver pair; the sender is determined by localizing the transmitter, while the receiver could be any node in a set of potential candidates within the sender's reachable range.…”

Section: A Overview Of Evidence Theorymentioning

confidence: 99%

“…Belief peaks correspond to regions with high fidelity in the presence of the BS. In general, ET relies on spatial correlation of packet transmissions to form the links between a source and a destination, and is used widely in the literature as a traffic analysis attack model [8][13]- [24]. This paper presents a new model, called Enhanced Evidence Theory (EET) that correlates the intercepted transmissions both spatially and temporally.…”

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confidence: 99%

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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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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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Location Privacy in Wireless Sensor Networks

Cited by 7 publications

References 58 publications

BSLPSDN: Base station location privacy via software‐defined networking (SDN) in wireless sensor networks

BSLPSDN: Base station location privacy via software‐defined networking (SDN) in wireless sensor networks

Traffic Analysis Through Spatial and Temporal Correlation: Threat and Countermeasure

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

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