Sinkhole Attack Detection based on Redundancy Mechanism in Wireless Sensor Networks

Zhang, Fang-Jiao; Zhai, Lidong; Yang, Jianwei; Cui, Xiang

doi:10.1016/j.procs.2014.05.319

Cited by 26 publications

(13 citation statements)

References 4 publications

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“…Sina Shahabi et al [6] suggested a new algorithm which enhances the security of AODV routing protocol to encounter the black hole attacks. This algorithm tries to identify malicious nodes according to nodes' behaviours in an Ad Hoc network and delete them from routing Fang-Jiao Zhanga B et al [7] the main contribution is to propose a new Sinkhole detection algorithm based the multi-path selection. The simulation also proves the feasibility of the approach.…”

Section: Related Workmentioning

confidence: 99%

Identifying and Improving the Malicious Behavior of Rushing and Blackhole Attacks using Proposed IDSAODV Protocol

Ranchhodbhai*¹,

Tripathi²

2019

IJRTE

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Wireless Ad hoc Network is established by a collection of mobile nodes without any fixed infrastructure, where each node plays a role of the router. There are not any centralize control to handle the routing process of network, due to the dynamic tropology and infrastructure less network the network is vulnerable to various kinds of attacks. Therefore, numerous proactive, reactive and hybrid routing protocols have been recommended, among which one of the well-known a protocol is AODV due to its high-performance gain. This research work contributes towards mitigating network layer attacks on routing protocols in Wireless Ad hoc Networks. Problem and it's security issues because its consequences and existing mechanisms for detection and prevention with the context of AODV protocol is a challenge in Wireless Ad hoc Network, particularly in MANET and Sensor network. We present an AODV based secure routing algorithm for detection and prevention of different network layer attacks such as blackhole and rushing attacks. We use different types of security parameters like node sequence numbers, hop count, trust value, path value, acknowledge time, the threshold value and ALERT packet message to design a secure algorithm for AODV routing protocol. It shows enactment evaluation of AODV with the enhanced secure routing algorithm and existing routing algorithm through simulations which will confirm the effectiveness and accuracy of the algorithm by considering performance metrics like throughput, packet delivery ratio and end to end delay. Using network simulator NS-2.35 the experimental results have been shown an improvement in throughput, packet delivery ratio (PDR), and end to end delay using IDSAODV and results are compared with normal AODV routing protocol for blackhole and rushing attacks. The comparative results have been also shown with proposed IDSAODV and existing method

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Section: Related Workmentioning

confidence: 99%

Identifying and Improving the Malicious Behavior of Rushing and Blackhole Attacks using Proposed IDSAODV Protocol

Ranchhodbhai*¹,

Tripathi²

2019

IJRTE

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“…The distributed hyperspherical cluster‐based scheme has better detection accuracy with less communication overhead as compared with the centralized scheme in which all sensor nodes communicate to a central node for processing. Zhang et al proposed a redundancy mechanism to prevent sinkhole attack. In this technique, messages are sent to the suspicious nodes through multiple paths.…”

Section: Literature Surveymentioning

confidence: 99%

“…In this section, we compare the performance of our scheme with other related existing schemes, such as Salehi et al 's scheme , Wang et al 's scheme , Hamedheidari et al 's scheme , Krontiris et al 's scheme , Shafieil et al 's scheme , Zhang et al 's scheme , Wang et al 's scheme and Wang et al 's scheme . From the results provided in Table , it is evident that our scheme has significantly better performance as compared with that for other existing schemes.…”

Section: Performance Comparison With Existing Related Schemesmentioning

confidence: 99%

Design of sinkhole node detection mechanism for hierarchical wireless sensor networks

Wazid

Das

Kumari

et al. 2016

Security Comm Networks

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Wireless sensor networks (WSNs) have several applications ranging from the civilian to military applications. WSNs are prone to various hole attacks, such as sinkhole, wormhole, blackhole, and greyhole. Among these hole attacks, the sinkhole attack is the malignant one. A sinkhole attack allows a malicious node, called the sinkhole node, advertises a best possible path to the base station (BS). This misguides its neighbors to utilize that path more frequently. The sinkhole node has the opportunity to tamper with the data, and it also performs the modifications in messages or it drops messages or it produces unnecessary delay before forwarding them to the BS. On the basis of these malicious acts that are performed by a sinkhole attacker node, we consider three types of malicious nodes in a WSN: sinkhole message modification node (SMD), sinkhole message dropping node (SDP), and sinkhole message delay node (SDL). None of the existing techniques in the literature is capable to handle all three types of nodes at a time. This paper presents a new detection scheme for the detection of different types of sinkhole nodes for a hierarchical wireless sensor network (HWSN). To the best of our knowledge, this is the first attempt to design such a detection scheme in HWSNs which can detect SMD, SDP, and SDL nodes. In our approach, the entire HWSN is divided into several disjoint clusters, and each cluster has a powerful high‐end sensor node (called a cluster head), which is responsible for the detection of different sinkhole attacker nodes if present in that cluster. We simulate our scheme using the widely‐accepted NS2 simulator for measurement of various network parameters. The proposed scheme achieves around 95% detection rate and 1.25% false positive rate. These factors are significantly better than the previous related schemes. Furthermore, the computation and communication efficiency is achieved in our scheme. As a result, our scheme seems suitable for the sensitive critical applications, such as military applications. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Fang-Jiao Zhang et al [6] proposed a redundancy mechanism to detect the sinkhole attack in a network. In case, if there is any suspicious node in the network, messages are sent to them through multi-paths.…”

Section: Related Workmentioning

confidence: 99%

Detecting Sinkhole Attack in Wireless Sensor Network using Enhanced Particle Swarm Optimization Technique

Keerthana¹,

Padmavathi²

2016

IJSIA

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Sinkhole Attack Detection based on Redundancy Mechanism in Wireless Sensor Networks

Cited by 26 publications

References 4 publications

Identifying and Improving the Malicious Behavior of Rushing and Blackhole Attacks using Proposed IDSAODV Protocol

Identifying and Improving the Malicious Behavior of Rushing and Blackhole Attacks using Proposed IDSAODV Protocol

Design of sinkhole node detection mechanism for hierarchical wireless sensor networks

Detecting Sinkhole Attack in Wireless Sensor Network using Enhanced Particle Swarm Optimization Technique

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