Sinkhole Attack in Wireless Sensor Networks-Performance Analysis and Detection Methods

Baskar, Radhika; Raja, P. C. Kishore; Joseph, Christeena; Reji, M.

doi:10.17485/ijst/2017/v10i12/90904

Cited by 11 publications

(10 citation statements)

References 7 publications

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“…But, specific attack types cannot be identified from the performance metrics of a network. Baskar et al [12] simulated and analyzed the network performance under the sinkhole attack in WSN in terms of energy consumption, throughput, and packet delivery ratio. The authors concluded that in a network with a large number of network nodes and few attacker nodes, attack impact was less.…”

Section: Related Workmentioning

confidence: 99%

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Impact Analysis of Network Layer Attacks in Real-Time Wireless Sensor Network Testbed

Sidhu¹,

Sachdeva²

2020

IJACSA

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With the rapid increase in the demand for Wireless Sensor Network (WSN) applications. The intrusive activities are also raised. To save these networks from the intruders it is required to understand the implications of any malicious act. Most of the researchers have utilized simulated software to understand the impact of such intrusions, however, real network conditions vary from the simulated environment. Therefore, the current work focuses on analyzing the impact of network layer attacks in real-time WSN testbed. The contributions of this work are threefold. Firstly, it presents the deployment of a realtime experimental testbed using standardized sensor devices in a multi-hop topological arrangement. Secondly, it provides the implementation details of seven network layer attacks: Blackhole (BH), Dropping Node (DN), Drop Route Request (DRREQ), Drop Route Reply (DRREP), Drop Route Error (DRERR), Grayhole (GH) and Sinkhole (SH) in a single testbed. Finally, the testbed performance with and without each attack is monitored and compared in terms of network performance metrics to understand the attacks' impact. This work will be helpful for the research community for proposing efficient attack detection and prevention solutions for these networks.

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Section: Related Workmentioning

confidence: 99%

“…Sinkhole Attack: The Sinkhole attack [12], [20] is implemented as an extension to the Black hole attack. This attack node forces the destination node to send the RREP message through it.…”

Section: )mentioning

confidence: 99%

Impact Analysis of Network Layer Attacks in Real-Time Wireless Sensor Network Testbed

Sidhu¹,

Sachdeva²

2020

IJACSA

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“…Lastly, Baskar et al [10] used an NS-2 simulator to simulate a sinkhole attack on a tree-based routing protocol that is described in their paper. The researchers used energy consumption, throughput and a packet delivery ratio as matrices to measure the impact of sinkhole attacks in different attack scenarios that varied in network size, number of malicious nodes, location of malicious nodes and power of malicious nodes.…”

Section: Literature Reviewmentioning

confidence: 99%

“…These include packet delivery ratio (PDR), energy consumption (EC), network lifetime (LT), throughput and packet delay. It is, however, advisable to look at all these matrices when an attack impact analysis is being conducted, as looking at the results of [10] and [8], there is a contrast in their results that could be due to the different impact matrices used in the studies. In [10], the researchers stated that the significance of the sinkhole attack increased when the malicious node moved closer to the base station, whereas in [8], the researchers stated that the sinkhole attack had a significant impact on the network regardless of the location of the malicious node.…”

Section: Literature Reviewmentioning

confidence: 99%

Abandonment Attack on the LEACH Protocol

Alhawas

Thomas

2020

Computer Performance Engineering

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Despite their popularity and widespread use, wireless sensor networks (WSNs) are vulnerable to different types of attacks due to their low energy consumption, simplicity and scalability constraints. This paper explores the possible network-layer attacks on WSN routing protocols. In addition, it proposes a comprehensive method for measuring the impact of network-layer attacks on WSNs. Moreover, it introduces a new network-layer attack-called 'abandonment attack'-on one such WSN routing protocol, the low-energy adaptive clustering hierarchy (LEACH) protocol. Last, it measures the impact of the abandonment attack on the LEACH protocol. In the end, this paper finds that the abandonment attack increases the collision rate and the end-to-end delay on the LEACH protocol and decreases the network lifetime.

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“…Black hole attack often targets hierarchical architectures and more specifically aggregator nodes. Multiple paths routing presents a defense against black hole attack [61] [62].…”

Section: The Most Known Attacksmentioning

confidence: 99%

Attacks classification and security mechanisms in Wireless Sensor Networks

Kardi¹,

Zagrouba²

2019

Adv. sci. technol. eng. syst. j.

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This paper proposes a new classification model distinguishing four classes of attacks in Wireless Sensor Networks (WSNs) namely: attacks based on the protocol stack, on the capability of the attacker, on the attack impacts and on the attack target. Then, it presents and classifies the most known attacks in WSNs based the proposed model. Simulations implemented under the NS3 simulator prove that the network lifetime can decrease by more than 45% in the presence of attacks. Afterwards, it discusses the main security methods and protocols of management and distribution of encryption keys used to ward off different types of attacks. Obtained results confirm that these security methods must be adapted to the specific characteristics of WSNs to achieve the intended objectives.

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Sinkhole Attack in Wireless Sensor Networks-Performance Analysis and Detection Methods

Cited by 11 publications

References 7 publications

Impact Analysis of Network Layer Attacks in Real-Time Wireless Sensor Network Testbed

Impact Analysis of Network Layer Attacks in Real-Time Wireless Sensor Network Testbed

Abandonment Attack on the LEACH Protocol

Attacks classification and security mechanisms in Wireless Sensor Networks

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