Securing mobile Wireless Sensor Networks (WSNs) against Clone Node Attack

Qabulio, Mumtaz; Malkani, Yasir Arfat; Keerio, A.

doi:10.1109/ciacs.2015.7395566

Cited by 7 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Qabulio et al [36] proposed a scheme to counter the clone node attack in the WSN, irrespective of the node's location. The scheme does not use extra processing time and memory to calculate the distances between the nodes similar to its predecessor schemes, which is why it is a lightweight solution.…”

Section: Received Signal Strengthmentioning

confidence: 99%

Identity attack detection system for 802.11-based ad hoc networks

Faisal

Abbas

Rahman

2018

J Wireless Com Network

View full text Add to dashboard Cite

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.

show abstract

Section: Received Signal Strengthmentioning

confidence: 99%

Identity attack detection system for 802.11-based ad hoc networks

Faisal

Abbas

Rahman

2018

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…This leads to scalability problem where there is a need for efficient security protocol that can deal with large scale nodes. 4) Most of the current security algorithms like µTESLA [53] and its successors [1] [2] does not take synchronization into consideration while most of the protocols are based on synchronization among the node or between the nodes and the sink node. 5) WSNs are currently used with data stream including audio and video while the current security algorithms may focus on discrete events.…”

Section: Open Research Issuesmentioning

confidence: 99%

Sensor Networks Attacks Classifications and Mitigation

Daia

Ramadan

Fayek

2018

AETiC

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are exposed to many security attacks, and it can be easily compromised. One of the main reasons for these vulnerabilities is the deployment nature, where sensor nodes are deployed without physical guarding duty. That makes the network susceptible to physical attacks. The communication nature between sensor nodes is another reason, where intruders can easily send/receive information if they are located in the network communication range. In this paper, most of the possible WSN attacks are discussed, different security services expected in WSN are explained, and trust-based solutions proposed in the literature are listed. Moreover, the state-of-the-art of the attacks’ mitigation and avoidance techniques are presented. Besides, this paper is enriched with a new classification of the WSNs attacks regarding attacks’ characteristics. It will be beneficial to researchers in the field of WSNs security if they can distinguish between different attacks that have common characteristics.

show abstract

The Imperative Role of Pervasive Data in Healthcare

Sathio

Brohi

2021

Pervasive Healthcare

View full text Add to dashboard Cite

Securing mobile Wireless Sensor Networks (WSNs) against Clone Node Attack

Cited by 7 publications

References 11 publications

Identity attack detection system for 802.11-based ad hoc networks

Identity attack detection system for 802.11-based ad hoc networks

Sensor Networks Attacks Classifications and Mitigation

The Imperative Role of Pervasive Data in Healthcare

Contact Info

Product

Resources

About