Detecting DoS attacks in WSN based on clustering technique

Mansouri, Djamel; Mokdad, Lynda; Ben‐Othman, Jalel; Ioualalen, Malika

doi:10.1109/wcnc.2013.6554905

Cited by 25 publications

(17 citation statements)

References 12 publications

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“…The first is related to the control nodes election, while the second concerns detection and blocking of compromised nodes. In the first phase, we used the recursive method presented in [19]. This method is mainly based on applying LEACH algorithm recursively.…”

Section: Methods Descriptionmentioning

confidence: 99%

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Preventing Denial of Service attacks in Wireless Sensor Networks

Mansouri

Mokddad

Ben‐Othman

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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Sensor networks are tiny independent devices which are characterized by limiting battery, processing power and storage memory, that makes saving consumption energy as real challenge power. Morever, there are many techniques used used to conserve energy in Wireless Sensor Networks (WSNs) the clustering technique is one of them. In terms of security, WSNs are more vulnerable to attacks than wired networks. However, radio frequencies used in WSNs are open, making the eavesdropping fairly easy. By considering energy consumption and in order to prevent from Denial of Service (DoS) attacks, present study introducing a preventing DoS attacks approach, which is based on using clustering techniques.

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Section: Methods Descriptionmentioning

confidence: 99%

“…Mansouri et al have proposed a new approach to detect DoS attacks [19]. They used recursively clustering technique to detect malicious nodes susceptible to block network activity.…”

Section: Related Workmentioning

confidence: 99%

Preventing Denial of Service attacks in Wireless Sensor Networks

Mansouri

Mokddad

Ben‐Othman

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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“…Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm is proposed by (Mansouri et al, 2013). To preserve the energy consumption in WSN nodes, an energy-preserving solution to detect compromised nodes in WSN is introduced to analyzes the traffic inside a cluster and sends warning to the cluster heads whenever abnormal behavior is detected in Wireless Sensor Network (WSN) environment.…”

Section: Detection Using Hierarchical Clustering Methodsmentioning

confidence: 99%

Review Clustering Mechanisms of Distributed Denial of Service Attacks

Bhaya¹,

Manaa²

2014

Journal of Computer Science

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Distributed Denial of Service attacks (DDoS) overwhelm network resources with useless or harmful packets and prevent normal users from accessing these network resources. These attacks jeopardize the confidentiality, privacy and integrity of information on the internet. Since it is very difficult to set any predefined rules to correctly identify genuine network traffic, an anomaly-based Intrusion Detection System (IDS) for network security is commonly used to detect and prevent new DDoS attacks. Data mining methods can be used in intrusion detection systems, such as clustering k-means, artificial neural network. Since the clustering methods can be used to aggregate similar objects, they can detect DDoS attacks to reduce false-positive rates. In this study, a review of DDoS attacks using clustering data mining techniques is presented. A review illustrates the most recent, state-of-the art science for clustering techniques to detect DDoS attacks.

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“…Mobility-assisted distributed clustering [27] and secure privacy preserving in hierarchical sensor network [28] establishes the energy-efficient secure route paths in the network. Clustering technique detects the denial-of-service attacks [29] in sensor networks. Recursive-clustering-based approach for denial of service attacks [30] enhances the cluster structures to avoid intrusions in the network.…”

Section: Related Workmentioning

confidence: 99%

Deterministic K‐means secure coverage clustering with periodic authentication for wireless sensor networks

Krishna

Doja²

2015

Int J Communication

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Innovative and emerging developments in sensor networks are proven to be the backbone for real-time applications such as satellite communications, military and border area surveillance systems, health care systems, traffic monitoring systems, seismic and underwater monitoring systems, and agriculture and habitat environment systems. Coverage and clustering techniques enable the sensor network to operate in groupbased and region-based communication and thus save the node energy. Energy-efficient protocols save the node energy and increase the network life cycle in a resource-constrained sensor network. Cluster head (CH) node manages and controls the operations such as network topology, coverage area, and routing paths (multi-paths and fault-tolerant paths) of the network. In this paper, we present deterministic K-means secure coverage clustering (K-SCC) with periodic authentication. The proposed protocol uses coverage clustering technique with periodic authentication between the CH node and sensor nodes to establish the secure channel in the network. Maximum cover of K nodes is maintained in the secure coverage cluster to achieve authenticated communication between the sensor nodes in the network. The proposed K-SCC protocol is compared with the existing protocols such as deterministic-SCC and random-SCC protocols. Simulation results indicate that the proposed K-SCC protocol achieves an average of 84% coverage ratio (cluster/sensor node ratio) as compared with 62% coverage ratio in the existing SCC protocols. Simulations also indicate that the proposed K-SCC protocol consumes 20% less energy as compared with the existing SCC protocol. Node attributesThe proposed deterministic K-SCC protocol uses the node attributes such as node energy, signal strength, number of adjacent nodes, pair-wise keys, and CH group key.

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Detecting DoS attacks in WSN based on clustering technique

Cited by 25 publications

References 12 publications

Preventing Denial of Service attacks in Wireless Sensor Networks

Preventing Denial of Service attacks in Wireless Sensor Networks

Review Clustering Mechanisms of Distributed Denial of Service Attacks

Deterministic K‐means secure coverage clustering with periodic authentication for wireless sensor networks

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