A Secure Localization Approach against Wormhole Attacks Using Distance Consistency

Chen, Honglong; Lou, Wei; Sun, Xice; Wang, Zhi

doi:10.1155/2010/627039

Cited by 30 publications

(15 citation statements)

References 16 publications

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“…3) Distance Consistency Approach: In [25] the author has proposed a distance-consistency-based secure localization method to detect wormhole attacks. Three different types of nodes locators, sensors, and attackers are deployed in the network.…”

Section: Wormhole Attack Detection Mechanismmentioning

confidence: 99%

Wormhole Attacks and Countermeasures in Wireless Sensor Networks : A Survey

Patel¹,

Aggarwal²,

Chaubey³

2017

IJET

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Abstract-Wireless sensor networks can be deployed in inhospitable terrains or in hostile environments to provide continuous monitoring and processing capabilities. Due to the wireless and distributed nature, security is very crucial issue in wireless sensor network. Security comes from attacks. Detecting wormhole attack is very hard compared to other attacks because it uses private, out-of-band channel to launch the attack. To launch this type of attack, attacker does not require any cryptographic breaks. Wormhole attack represents one forms of Denial of Service attack. It is a gateway of many more attacks. This paper focuses on the various wormhole detection techniques, the open research areas and future research directions.Keywords: Wireless sensor network, security, distributed, wormhole, out-of-band. I. INTRODUCTION Wireless sensor network consists of large number of sensor nodes. Each sensor node consists of processor, analog to digital converter, transceiver and battery. Sensor nodes are densely deployed. They use broadcast communication primitive. Sensor nodes rely on wireless channels for transmitting and receiving data from other nodes [1,2]. Sink node is the data aggregation point. Wireless sensor networks that are capable of observing the environment, processing data and making decisions based on these observations [3][4][5][6]. These networks are important for a number of applications such as coordinated target detection and localization, surveillance and environment monitoring.Providing security services in sensor networks turns out to be a very challenging task. First, sensor nodes usually have very limited resources such as storage, bandwidth, computation and energy. It is often undesirable to implement expensive algorithms on sensor nodes. Second, sensor nodes are usually deployed in unattended environment. An attacker can easily capture and compromise a few sensor nodes without being noticed. When sensor nodes are compromised, the attacker can learn all the secrets stored on them and launch a variety of attacks [7][8][9][10][11][12]. Thus any security mechanism for sensor networks has to be resilient to compromised sensor nodes. Third, most sensor applications are based on local computation and communication, while adversaries are usually much more powerful and resourceful than sensor nodes.Wireless sensor networks are vulnerable to many attacks, but among all the attacks wormhole attack is very dangerous. Two malicious nodes are located far away and create a high speed tunnel [13][14][15]. At one ends of the tunnel, one malicious node receives the traffic and forwards it to the end of the tunnel to the other malicious node. It is also possible that packet is altered that contains different information. The packets pass through the tunnel can propagate faster compared to the normal path. To launch the attack, attacker does not require knowing the protocols used in the network or the services offered in the network.The rest of the paper is organized as follows. In section 2 we have discussed the ...

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Section: Wormhole Attack Detection Mechanismmentioning

confidence: 99%

Wormhole Attacks and Countermeasures in Wireless Sensor Networks : A Survey

Patel¹,

Aggarwal²,

Chaubey³

2017

IJET

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“…The performance of the proposed algorithm is measured in two ways which are the average location error and traffic. The average location error is defined as [15][16][17][18][19][20]: (10) where respectively, is the true coordinate position and the estimation coordinate position of node and its communication radius.…”

Section: Simulationmentioning

confidence: 99%

An Improved DV-Hop Algorithm for Resisting Wormhole Attack

Yang¹,

Song²

2015

TOCSJ

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As DV-Hop algorithm estimates distance by distance vector exchanging, positioning process is vulnerable to devastate wormhole attacking. An improved DV-Hop algorithm (AWADV-Hop) which resists wormhole attack is proposed, based on the original algorithm in this paper. To solve the problem that hops and the average distance per hop is the most vulnerable to wormhole attack in DV-Hop. This paper first fixes hop value by detecting the wormhole attack. Then, according to error comparison of the average distance per hop of anchor node and the average distance per hop of the whole network, locate permission of anchor nodes are re-decided. Average distance per hop of anchor nodes with positioning permissions is weighted to be the ultimate per hop distance of unknown node. Finally, simulated by MATLAB and simulation results show that this algorithm can effectively resist wormhole attack and improve the positioning accuracy.

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“…If packet drop is greater than packet sent there there is presence of wormhole attack. Author [ [10], [11]] discussed the impact of wormhole on localization proposed novel distance consistency based secure localization scheme and make to collect conflicting set of abnormalities of message exchange among neighbor locator only if there is no packet loss which is downside of this methodology. Graph theory approach was developed by author [12] for the prevention of wormhole attack with the use of location aware guard nodes using "local broadcast keys" which are encrypted and valid only between instant one hop neighbors.…”

Section: Literature Surveymentioning

confidence: 99%

“…Graph theory approach was developed by author [12] for the prevention of wormhole attack with the use of location aware guard nodes using "local broadcast keys" which are encrypted and valid only between instant one hop neighbors. [ [10], [11]] defined security extensions to OLSR to prevent generation of false messages. [13] used hash chain and digital signature whereas, [14] used signing OLSR packet with digital signature.…”

Section: Literature Surveymentioning

confidence: 99%

An Approach to Improve the Performance of WSN during Wormhole Attack using Promiscuous Mode

Singh¹,

Kaur²

2013

IJCA

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Due to dynamic topology and non-wired infrastructure of Wireless Sensor Networks (WSN), they are prone to attacks. Wormhole attack is one of the most popular and serious attack in WSNs. In Wormhole attack two or more malicious nodes makes a covert channel which attracts the traffic towards itself by depicting a low latency link and then start dropping and replaying packets in the multi-path route. This paper proposes promiscuous mode method to detect and isolate the malicious node during wormhole attack by using Ad-hoc on demand distance vector routing protocol (AODV) with omnidirectional antenna. This paper proposes that the nodes which are not participating in multi-path routing generates an alarm message during delay and then detects and isolate the malicious node from network.

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A Secure Localization Approach against Wormhole Attacks Using Distance Consistency

Cited by 30 publications

References 16 publications

Wormhole Attacks and Countermeasures in Wireless Sensor Networks : A Survey

Wormhole Attacks and Countermeasures in Wireless Sensor Networks : A Survey

An Improved DV-Hop Algorithm for Resisting Wormhole Attack

An Approach to Improve the Performance of WSN during Wormhole Attack using Promiscuous Mode

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