Preventing Denial of Service attacks in Wireless Sensor Networks

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

doi:10.1109/icc.2015.7248786

Cited by 14 publications

(13 citation statements)

References 15 publications

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“…i) Denial of Service Attack In this attack, the network is flooded by a large amount of traffic. This result in genuine users not having access to the service [30,31].…”

Section: Network Layer Attacks A) Traffic Analysis Attackmentioning

confidence: 99%

Security Challenges in IoT Platforms and Possible Solutions

Orifama¹,

Okoro²

2020

IOTCC

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There has been an increase in the electronic devices connected to the internet space, with at least 40 billion more devices becoming smart devices via the embedded system in 2020. The internet of things (IoT) is an emerging technology that deals with the interconnection of smart devices via the internet space, hence providing enhanced communication, interaction and service delivery. Communication between IoT devices take place over the internet, placing the internet at the heart of IoT applications, hence, extending the security challenges present in the traditional network into the IoT system. This dissertation describes the various layers of an IoT network, it made mention of the three-layer architecture and describes the functions of each of its component. Also, and more importantly, the security challenges that affects the layers of an IoT network and possible solutions for each layer were discusses. Furthermore, these items were combined in a stack to discuss on IoT platforms, which is a combination of IoT devices and services connected via a communication protocol and ensures applications are send to users in a secure system. This makes it possible for the continuity of security between different stages and data tracking between IoT devices. Issues rising from IoT platforms that make it difficult for integration with other IoT devices concludes this study.

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“…i) Denial of Service Attack In this attack, the network is flooded by a large amount of traffic. This result in genuine users not having access to the service [30,31].…”

Section: Network Layer Attacks A) Traffic Analysis Attackmentioning

confidence: 99%

Security Challenges in IoT Platforms and Possible Solutions

Orifama¹,

Okoro²

2020

IOTCC

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“…Mansouri et al [4] proposed a clustering technique for addressing the DoS attacks. The suggested technique exploited the energy consumption of the nodes.…”

Section: Detection Of Dos Attacks In Wsnmentioning

confidence: 99%

GA-DoSLD: Genetic Algorithm Based Denial-of-Sleep Attack Detection in WSN

Gunasekaran¹,

Periakaruppan²

2017

Security and Communication Networks

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Denial-of-sleep (DoSL) attack is a special category of denial-of-service attack that prevents the battery powered sensor nodes from going into the sleep mode, thus affecting the network performance. The existing schemes used for the DoSL attack detection do not provide an optimal energy conservation and key pairing operation. Hence, in this paper, an efficient Genetic Algorithm (GA) based denial-of-sleep attack detection (GA-DoSLD) algorithm is suggested for analyzing the misbehaviors of the nodes. The suggested algorithm implements a Modified-RSA (MRSA) algorithm in the base station (BS) for generating and distributing the key pair among the sensor nodes. Before sending/receiving the packets, the sensor nodes determine the optimal route using Ad Hoc On-Demand Distance Vector Routing (AODV) protocol and then ensure the trustworthiness of the relay node using the fitness calculation. The crossover and mutation operations detect and analyze the methods that the attackers use for implementing the attack. On determining an attacker node, the BS broadcasts the blocked information to all the other sensor nodes in the network. Simulation results prove that the suggested algorithm is optimal compared to the existing algorithms such as X-MAC, ZKP, and TE2P schemes.

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“…A few techniques for detecting misdirection attack in WSN is reported in the current literature. The various techniques developed to detect the misdirection attack in wireless networks include cluster based detection methods [8], [9]including its variants such as using enhanced LEACH protocol [10] and recursive application of LEACH clustering techniques [11]. In cluster based detection method, a node having the highest energy is the cluster head.…”

Section: Introductionmentioning

confidence: 99%

“…A modified version of cluster head selection approach based on lifetime of battery and distance for detection of malicious nodes has been adopted. LEACH clustering techniques has been recursively applied for detection and prevention of DoS attacks in WSN [11]. Here the LEACH algorithm is used to construct clusters.…”

Section: Introductionmentioning

confidence: 99%

Misdirection Attack Detection in Wireless Sensor Network

Singh*¹,

Barthakur²,

Singh³

et al. 2020

IJRTE

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Wireless Sensor Network (WSN) is susceptible to various kinds of security attacks such as the misdirection attack. Detection of misdirection attack in WSN is a difficult job. The malicious node misdirects the arriving packets to a node other than the purposive node in the path from the source to the destination. Consequently, it introduces high end- to- end delay in the network. A novel technique for detection of misdirection attack in WSN without using cluster heads is proposed in the paper. The proposed detection technique has been implemented using Omnetpp 5.4.1 on four different network scenarios (10, 20, 30, and 40 numbers of nodes) and varying number of malicious nodes. The results of simulation shows that the proposed technique delivers better detection rate with reduced end- to- end delay compared to the detection method which uses cluster heads.

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Preventing Denial of Service attacks in Wireless Sensor Networks

Cited by 14 publications

References 15 publications

Security Challenges in IoT Platforms and Possible Solutions

Security Challenges in IoT Platforms and Possible Solutions

GA-DoSLD: Genetic Algorithm Based Denial-of-Sleep Attack Detection in WSN

Misdirection Attack Detection in Wireless Sensor Network

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