Localization verification and distinguishability degree in wireless networks using received signal strength variations

Bouassida, Mohamed Salah; Shawky, M.

doi:10.1109/iscit.2007.4392174

Cited by 1 publication

(5 citation statements)

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“…Bouassida and Shawky [27] proposed anonymous multipath routing protocol based on secret sharing in mobile ad hoc networks. The protocol delivered the location, identity, data and traffic anonymity using cryptography.…”

Section: Software-based Approachesmentioning

confidence: 99%

“…Bouassida and Shawky [27] proposed a fuzzy logic system that predicted the behaviours of nodes, such as how much a node in question can be trusted, while considering the partial history of the nodes' actions. The logic delivered the shortest possible route to ensure security against identity attacks and to identify the intruders.…”

Section: Software-based Approachesmentioning

confidence: 99%

“…Hence, DoS attacks can be launched easily. Moreover, this transceiver requires higher costs in terms of fingerprinting measurements and extra hardware implementation with enough precision, which restricts its use [27,28]. Some of the schemes that use frequency fingerprinting are given below.…”

Section: Transceiver Fingerprintingmentioning

confidence: 99%

“…Some authors [31,32] use air monitors (AM) as an additional hardware device that sniffs the traffic passively to detect spoofing attacks on the MAC layer. However, this approach creates additional hardware overhead for the infrastructure-less 802.11 [27]-based ad hoc networks [31][32][33].…”

Section: Received Signal Strengthmentioning

confidence: 99%

“…Bouassida and Shawky [27] proposed an intrusion detection technique based on the degree of distinguishability analysis. In this technique, the nodes can verify each other's location and can authenticate the incoming nodes to the network based on the physical characteristics of the signals.…”

Section: Received Signal Strengthmentioning

confidence: 99%

See 4 more Smart Citations

Identity attack detection system for 802.11-based ad hoc networks

Faisal

Abbas

Rahman

2018

J Wireless Com Network

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Due to the lack of centralized identity management and the broadcast nature of wireless ad hoc networks, identity attacks are always tempting. The attackers can create multiple illegitimate (arbitrary or spoofed) identities on their physical devices for various malicious reasons, such as to launch Denial of Service attacks and to evade detection and accountability. In one scenario, the attacker creates more than one identity on a single physical device, which is called a Sybil attack. In the other one, the attacker creates cloned/replicated nodes. We refer collectively to these attacks as identity attacks. Using these malicious techniques, the attacker would perform activities in the network for which the attacker may not be authorized. In the existing literature, these attacks are often counteracted separately. However, in this paper, we propose a solution to counteract both attacks jointly. Our proposed scheme uses the received signal strength for the detection without using extra hardware (such as GPS, antennae or air monitors) and centralized entities (such as trusted third party or certification authority). Upon the detection of malicious identities, they will be quarantined and will be blacklisted for future data communication by the mobile nodes. Our proposed attack detector detects the presence of Sybil attacks and replication attacks locally by analysing the received signal strength captured by each node. Moreover, we propose a technique that will identify these attacks in the overall network. In both local and global cases, we evaluate our solutions theoretically and via simulation in NS-2. The obtained results demonstrate that it is possible to detect identity attacks with considerable accuracy without causing extra overhead in the form of extra hardware, periodic beacons or expensive localization operations in the wireless ad hoc networks.

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Section: Software-based Approachesmentioning

confidence: 99%

Section: Software-based Approachesmentioning

confidence: 99%

Section: Transceiver Fingerprintingmentioning

confidence: 99%