Distributed detection of replica node attacks with group deployment knowledge in wireless sensor networks

Ho, Jun-Won; Liu, Donggang; Wright, Matthew; Das, Sajal K.

doi:10.1016/j.adhoc.2009.04.008

Cited by 53 publications

(46 citation statements)

References 20 publications

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“…This technique falls into the category of group-based techniques. Ho et al [54] have proposed three group deployment knowledge-based schemes for the detection of node replication attack in wireless sensor networks. Their schemes are based on the assumption that nodes are deployed in groups.…”

Section: Distributed Detection Of Replication With Deployment Knowledmentioning

confidence: 99%

“…For neighbor-based technique [48], the neighboring nodes should be static and any addition or removal of nodes is not possible throughout the detection process because in doing so the detection process is affected severely. For the generation-or group-based techniques [40,41,54,55] all the nodes are deployed in groups, and no new node can be added in a particular group. Also, nodes should have location or network information before node deployment.…”

Section: Distributed Techniquesmentioning

confidence: 99%

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Detection and Mitigation of Node Replication Attacks in Wireless Sensor Networks: A Survey

Khan

Aalsalem

Saad

et al. 2013

International Journal of Distributed Sensor Networks

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Wireless sensor networks are a collection of a number of tiny, low-cost, and resource-constrained sensor nodes which are commonly not tamper proof. As a result, wireless sensor networks (WSNs) are prone to a wide variety of physical attacks. In this paper, we deem a typical threat known as node replication attack or clone node attack, where an adversary creates its own low-cost sensor nodes called clone nodes and misinforms the network to acknowledge them as legitimate nodes. To instigate this attack, an adversary only needs to physically capture one node, and after collecting all secret credentials (ID, cryptographic keys, etc.), an adversary replicates the sensor node and deploys one or more clones of the compromised node into the network at strategic positions, damaging the whole network by carrying out many internal attacks. Detecting the node replication attack has become an imperative research topic in sensor network security, and designing detection schemes against node replication attack involves different threatening issues and challenges. In this survey, we have classified the existing detection schemes and comprehensively explore various proposals in each category. We will also take a glance at some technical details and comparisons so as to demonstrate limitations of the existent detections as well as effective contributions.

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Section: Distributed Detection Of Replication With Deployment Knowledmentioning

confidence: 99%

Section: Distributed Techniquesmentioning

confidence: 99%

Detection and Mitigation of Node Replication Attacks in Wireless Sensor Networks: A Survey

Khan

Aalsalem

Saad

et al. 2013

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…Zhu et al [8] proposed another detection scheme by using localized multicast. Ho et al [9] proposed to take advantage of the group deployment knowledge to further raise detection probability and lower detection overheads. Zhang et al [10] proposed four detection schemes, B-MEM, BC-MEM, C-MEM, and CC-MEM, to address the cross-over problem and the crowded-center problem in the detection.…”

Section: Distributed Detection Approachesmentioning

confidence: 99%

“…In distributed approaches [2,[7][8][9][10][11][12][13][14], the replication attacks detection is conducted by reporting the location claim messages to randomly chosen witness nodes in the network. Paradoxes of the location claims indicate the detection of replication attacks.…”

Section: Distributed Detection Approachesmentioning

confidence: 99%

Detecting and Defending against Replication Attacks in Wireless Sensor Networks

Chen

Zhan

2013

International Journal of Distributed Sensor Networks

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Wireless sensor networks are susceptible to node replication attacks due to their unattended nature. Existing replicas detection schemes can be further improved in regard of detection probabilities, detection overheads, and the balance of detection overheads among sensor nodes. In this paper, we make the following contributions: first, we point out the unrealistic assumption that the replica node would behave honestly as the benign sensor nodes; thus the existing detection schemes would fail if the replica nodes cheat or collude with the compromised node. Then, we propose a location-binding symmetric key scheme forcing the replica nodes to be inserted only in the vicinity of the compromised node. Later, a detecting scheme is presented to inspect the location claims within the neighborhood. Finally, analysis shows that our scheme helps to detect and defend against replication attacks effectively and efficiently. Extensive simulations are conducted and the results show that the detection overheads are low and evenly distributed among all the sensor nodes.

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“…Ho et al [14] leverages group deployment knowledge to detect static replica nodes with little overhead.…”

Section: Related Workmentioning

confidence: 99%

Sequential Hypothesis Testing Based Approach for Replica Cluster Detection in Wireless Sensor Networks

2012

JSAN

Self Cite

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In wireless sensor networks, replica node attacks are very dangerous because the attacker can compromise a single node and generate as many replicas of the compromised node as he wants, and then exploit these replicas to disrupt the normal operations of sensor networks. Several schemes have been proposed to detect replica node attacks in sensor networks. Although these schemes are capable of detecting replicas that are widely spread in the network, they will likely fail to detect replica cluster attacks in which replicas form a cluster in a small region. These attacks are also harmful because the attacker can leverage a replica cluster to harmfully impact on the much of the network. To defend against replica cluster attacks, we propose an efficient and effective replica cluster detection scheme using the Sequential Hypothesis Testing. We evaluate our proposed scheme through analysis and simulation. The evaluation results demonstrate that it accomplishes robust replica cluster detection capability.

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Distributed detection of replica node attacks with group deployment knowledge in wireless sensor networks

Cited by 53 publications

References 20 publications

Detection and Mitigation of Node Replication Attacks in Wireless Sensor Networks: A Survey

Detection and Mitigation of Node Replication Attacks in Wireless Sensor Networks: A Survey

Detecting and Defending against Replication Attacks in Wireless Sensor Networks

Sequential Hypothesis Testing Based Approach for Replica Cluster Detection in Wireless Sensor Networks

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