Efficient Distributed Detection of Node Replication Attacks in Sensor Networks

Zhu, Bo; Addada, V.G.K.; Setia, Sanjeev; Jajodia, Sushil; Roy, Subhadeep

doi:10.1109/acsac.2007.26

Cited by 102 publications

(97 citation statements)

References 11 publications

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“…The LSM algorithm behavior is similar to that of RM, but exploits the routing topology and uses geometric probabilities to detect replicated nodes, to reduce the communication costs and improve detection probability. Conti, Zhu et al [4][5] presented two other improvements. But all these schemes are based on location information and have some defects.…”

Section: Related Workmentioning

confidence: 95%

A New Protocol for the Detection of Node Replication Attacks in Mobile Wireless Sensor Networks

Deng

Xiong

2011

J. Comput. Sci. Technol.

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Deng XM, Xiong Y. A new protocol for the detection of node replication attacks in mobile wireless sensor networks. AbstractWireless sensor networks (WSNs) are often deployed in harsh environments. Thus adversaries can capture some nodes, replicate them and deploy those replicas back into the strategic positions in the network to launch a variety of attacks. These are referred to as node replication attacks. Some methods of defending against node replication attacks have been proposed, yet they are not very suitable for the mobile wireless sensor networks. In this paper, we propose a new protocol to detect the replicas in mobile WSNs. In this protocol, polynomial-based pair-wise key pre-distribution scheme and Counting Bloom Filters are used to guarantee that the replicas can never lie about their real identifiers and collect the number of pair-wise keys established by each sensor node. Replicas are detected by looking at whether the number of pair-wise keys established by them exceeds the threshold. We also derive accurate closed form expression for the expected number of pair-wise keys established by each node, under commonly used random waypoint model. Analyses and simulations verify that the protocol accurately detects the replicas in the mobile WSNs and supports their removal.

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Section: Related Workmentioning

confidence: 95%

A New Protocol for the Detection of Node Replication Attacks in Mobile Wireless Sensor Networks

Deng

Xiong

2011

J. Comput. Sci. Technol.

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“…The RED [10] protocol has higher flexibility of distinguishing imitated hubs when contrasted with LSM and has higher copies location rate than RM, DM and LSM protocols, be that as it may it has high correspondence overheads. In SDC [16] witness hubs are picked arbitrarily from the hubs of a given set rather than the entire system as in the RM protocol. It additionally gives higher strength against hub replication assault and it likewise has great rate of recognizing imitations.…”

Section: Comparison Of Node Replication Attacks In Static Wsnsmentioning

confidence: 99%

“…It additionally gives higher strength against hub replication assault and it likewise has great rate of recognizing imitations. P-MPC [16] protocol works same as SDC, yet is more memory effective than SDC and furthermore has better rate of distinguishing duplicated hubs in WSNs. RAWL [12] appropriates obligation of choosing witness hub to each go-between hub go in irregular walk, so for a foe it turns out to be very hard to discover witness hubs.…”

Section: Comparison Of Node Replication Attacks In Static Wsnsmentioning

confidence: 99%

On node reproduction attack in wireless sensor networks

Harini¹

2017

IJET

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WSNs (Wireless Sensor Networks) comprise a large number of small, inexpensive, low power and memory constrained sensing devices (called sensor nodes) that are densely deployed to measure a given physical phenomenon. Since WSNs are commonly deployed in a hostile and unattended environment, it is easy for an adversary to physically capture one or more legitimate sensor nodes, re-program and redeploy them in the network. As a result, the adversary becomes able to deploy several identical copies of physically captured nodes in the network in order to perform illegitimate activities. This type of attack is referred to as Node Replication Attack or Clone Node Attack. By launching node replication attack, an adversary can easily get control on the network which consequently is the biggest threat to confidentiality, integrity and availability of data and services. Thus, detection and prevention of node replication attack in WSNs has become an active area of research and to date more than two dozen schemes have been proposed, which address this issue. In this paper, we present a comprehensive review, classification and comparative analysis of twenty five of these schemes which help to detect and/or prevent node replication attack in WSNs.

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“…The advantage is less communication cost, high detection rate and less storage requirements. Zhu et al (2007), two more schemes are proposed which are Single Deterministic Cell and Parallel Multiple Probabilistic Cells. In the first scheme, each node ID is associated with a single cell.…”

Section: Related Workmentioning

confidence: 99%

Extended-Randomized, Efficient, Distributed: A Dynamic Detection of Clone Attacks in Static Wireless Sensor Networks

Geetha¹,

Ramakrishnan²

2014

Journal of Computer Science

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A wireless sensor network is a collection of nodes organized in to a cooperative network. Each node consists of processing capability, multiple types of memory, a power source and actuators and sensors. This wireless sensor network is established in hostile and harsh environments like civil and military applications. This network is prone to various attacks. One of the major attack is clone attack. An adversary can capture the node and replicate the node including its cryptographic information and deploy these nodes in the network. This will lead to several problems like leaking the data, jamming the data flow, injecting false data etc. The RED protocol determined the witness node using pseudo-randomly but it is purely static. This study proposes eXtended-Randomized, Efficient, Distributed (X-RED), which detects clone nodes in the static wireless sensor networks in a dynamically fast manner. It is a distributed protocol, which computes the witness nodes dynamically. There is no pre-assumption in determining the witness node. We show that the protocol satisfies the major requirements of the distributed algorithms like the witness node is selected based on their id and location and also reduce the overhead. Simulation results show that our protocol is more efficient than other exiting protocols in terms of detection probability. This approach gives considerable amount of increase in detection probability than other existing protocols and also reduces the storage overhead. This study can be extended for mobile wireless network in the future.

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Efficient Distributed Detection of Node Replication Attacks in Sensor Networks

Cited by 102 publications

References 11 publications

A New Protocol for the Detection of Node Replication Attacks in Mobile Wireless Sensor Networks

A New Protocol for the Detection of Node Replication Attacks in Mobile Wireless Sensor Networks

On node reproduction attack in wireless sensor networks

Extended-Randomized, Efficient, Distributed: A Dynamic Detection of Clone Attacks in Static Wireless Sensor Networks

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