Modeling tools for detecting DoS attacks in WSNs

Ballarini, Paolo; Mokdad, Lynda; Monnet, Quentin

doi:10.1002/sec.630

Cited by 21 publications

(20 citation statements)

References 33 publications

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“…The dynamic Cnode election is another solution to maintain good balancing load in the clustered networks. Thus, the nodes are not always designated Cnodes; they are renewed periodically during the network partition, choosing in each iteration a new batch of Cnodes . As in the static election, Cnodes consume more power than normal nodes because they must constantly remain listening to transmissions that surround them and analyze the flow of each of their neighbors.…”

Section: Related Workmentioning

confidence: 99%

Dynamic and adaptive detection method for flooding in wireless sensor networks

Mansouri

Mokdad

Ben‐Othman

et al. 2017

Int J Communication

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Summary In recent years, wireless sensor networks (WSNs) have attracted an increasing attention in several fields. However, WSNs must be treated with significant challenges in their design due to their special characteristics such as limited energy, processing power, and data storage that make the energy consumption saving a real challenge. Also, regarding their distributed deployment in open radio frequency and lack of physical security, these networks are vulnerable and exposed to several attacks: passive eavesdropping, active attacks, and identity theft. In this paper, we propose a new method called accordion method to detect and apprehend denial of service attacks in WSNs. This approach is a dynamic and an adaptive method based on using clustering method which allows electing control nodes that analyze the traffic inside a cluster and send warnings to the cluster head whenever an abnormal behavior is suspected or detected. The proposed method relies on the analysis of the evolution of the threshold messages (alerts) sent in the cluster. The proposed method has been evaluated, and the obtained numerical results show its benefit compared with other detection methods.

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Section: Related Workmentioning

confidence: 99%

Dynamic and adaptive detection method for flooding in wireless sensor networks

Mansouri

Mokdad

Ben‐Othman

et al. 2017

Int J Communication

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“…Quentin et al introduced in [14] a dynamic approach to detect DoS attacks in hierarchically clustered WSNs. The solution is based on using special control nodes (Cnodes) whose main function is monitoring the throughput of traffic in clusters.…”

Section: Related Workmentioning

confidence: 99%

“…Cnodes are periodically elected among ordinary nodes of each atomic cluster, in order to ensure a better energy balance, while maintaining best detection coverage. In proposed solution in [14], two modeling approaches are presented. Firstly, stochastic modeling method based on Markov chains has been used to model sensor networks in order to detect the Denial of Service attacks.…”

Section: Related Workmentioning

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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“…Wireless sensor networks (WSNs) are often used to achieve this watch. In WSNs, we have a large number of sensor nodes which sensing their environment and sending the collected data to the base station (BS) [10].…”

Section: Introductionmentioning

confidence: 99%

An Energy Preserving Detection Mechanism for Blackhole Attack in Wireless Sensor Networks

Lal¹,

Shrivastava²

2015

IJCA

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Wireless sensor networks (WSNs) are currently used in many application areas such as military applications, control and tracking applications, habitat monitoring applications where they face attacks already experienced by the Internet and wireless ad hoc networks. One such attack is that of Blackhole Denial-of-Service (DoS).In Blackhole attack a node captures all data packets coming to it. WSNs have Sensor Nodes which have limited energy and processing capability. With the resource limitations of WSN devices, they are particularly susceptible to the consumption and destruction of these scarce resources. Denial-of-Service (DoS) attacks have become a major threat to WSNs. It is critical challenge to develop the effective and lightweight security mechanism to detect and prevent various attacks for WSN, especially for the Denial-ofService (DoS) attack. This paper discusses current state of art in various security mechanisms which detect and prevent the Blackhole Denial-of-Service (DoS) attack in WSNs and proposed an energy-preserving detection mechanism against Blackhole attack.

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Modeling tools for detecting DoS attacks in WSNs

Abstract: International audienc

Cited by 21 publications

References 33 publications

Dynamic and adaptive detection method for flooding in wireless sensor networks

Dynamic and adaptive detection method for flooding in wireless sensor networks

Preventing Denial of Service attacks in Wireless Sensor Networks

An Energy Preserving Detection Mechanism for Blackhole Attack in Wireless Sensor Networks

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