Countermeasures for selective forwarding and wormhole attack in WSN

Khandare, Pravin; Sharma, Yogesh; Sakhare, Shital

doi:10.1109/icisc.2017.8068635

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…Attackers can also impersonate network nodes by counterfeiting, and conceal legitimate users to execute unauthorized operations. The active attacks include jamming attack [15], denial of service attack, black hole attack [16], tampering attack, wormhole attack [17], selective forwarding, identity replication/cloning attack [18], Sybil attack [19], etc. The passive attack is difficult to detect for the simple reason that the attacker only monitors the transmitted data without modifying the message.…”

Section: Security Threat In Clustered Wireless Sensor Networkmentioning

confidence: 99%

A lightweight key renewal scheme based authentication protocol with configurable RO PUF for clustered sensor networks

Cui

Wang

et al. 2021

Microelectronics Journal

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Section: Security Threat In Clustered Wireless Sensor Networkmentioning

confidence: 99%

A lightweight key renewal scheme based authentication protocol with configurable RO PUF for clustered sensor networks

Cui

Wang

et al. 2021

Microelectronics Journal

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“…In Wormhole attack the malicious node will send packets to the other malicious node by creating the tunnelling [3][4][5][6][7]. It will transfer the packet from one location to the different location [8].It will disrupt the network very largely. The tunnel has more power to transmit the packets compared to the normal routing.…”

Section: Wormhole Attackmentioning

confidence: 99%

“…It can combine with the other attacks like the sinkhole attack and cause serious damage to the network. Wormhole attack can be a various forms such as [8] 1. Wormhole by using the Encapsulation.…”

Section: Wormhole Attackmentioning

confidence: 99%

Acknowledgement Based Technique for Detection of the Wormhole Attack in RPL Based Internet of Things Networks

Neerugatti

Reddy

2019

AJCST

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Internet of Things (IoT) is the advanced technology, were the constrained nodes/things (all the objects around us such as chair, home, car, keys, etc.) will be connected to the internet to form a network, for sharing and monitoring the data, remotely. RPL (IPv6 Routing Protocol for Low Power and Lossy networks) is a routing protocol particularly designed for the constrained (low powered, low computation, less size, etc.) networks with the protocol 6LoWPAN (IPv6 Low Powered wireless Personal Area Networks). Due to the constrained behaviour of the RPL protocol, it will leads to many RPL routing attacks such as Sinkhole, Black hole, Wormhole, Selective forwarding, rank attacks, etc. This paper was focused on the Wormhole attack. The Wormhole attack will select the packets from one location and drops those packets in some other location (malicious) by forming the Tunnelling. To detect this attack here proposed and implemented a novel approach called (ADWA). Acknowledgement based technique for detection of the wormhole attack in RPL based Internet of Things networks. This approach was shown efficient results with the Telosb sky emulator nodes in the Contiki Cooja simulator, in terms of the Packet delivery ratio, delay and detection of wormhole attack.

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“…The wormhole attack can damage the routing structure and interfere with the routing for data transmission [4]. A wormhole link usually consists of two or more designated attack nodes [5,6]. Because the wormhole attack has no effect on communication integrity, it is difficult to be detected [7].…”

Section: Introductionmentioning

confidence: 99%

The Security DV-Hop Algorithm against Multiple-Wormhole-Node-Link in WSN

Li¹,

Wang²

2019

KSII TIIS

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Distance Vector-Hop (DV-Hop) algorithm is widely used in node localization. It often suffers the wormhole attack. The current researches focus on Double-Wormhole-Node-Link (DWNL) and have limited attention to Multi-Wormhole-Node-Link (MWNL). In this paper, we propose a security DV-Hop algorithm (AMLDV-Hop) to resist MWNL. Firstly, the algorithm establishes the Neighbor List (NL) in initialization phase. It uses the NL to find the suspect beacon nodes and then find the actually attacked beacon nodes by calculating the distances to other beacon nodes. The attacked beacon nodes generate and broadcast the conflict sets to distinguish the different wormhole areas. The unknown nodes take the marked beacon nodes as references and mark themselves with different numbers in the first-round marking. If the unknown nodes fail to mark themselves, they will take the marked unknown nodes as references to mark themselves in the second-round marking. The unknown nodes that still fail to be marked are semi-isolated. The results indicate that the localization error of proposed AMLDV-Hop algorithm has 112.3%, 10.2%, 41.7%, 6.9% reduction compared to the attacked DV-Hop algorithm, the Label-based DV-Hop (LBDV-Hop), the Secure Neighbor Discovery Based DV-Hop (NDDV-Hop), and the Against Wormhole DV-Hop (AWDV-Hop) algorithm.

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Countermeasures for selective forwarding and wormhole attack in WSN

Cited by 10 publications

References 5 publications

A lightweight key renewal scheme based authentication protocol with configurable RO PUF for clustered sensor networks

A lightweight key renewal scheme based authentication protocol with configurable RO PUF for clustered sensor networks

Acknowledgement Based Technique for Detection of the Wormhole Attack in RPL Based Internet of Things Networks

The Security DV-Hop Algorithm against Multiple-Wormhole-Node-Link in WSN

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