A non cryptographic method of sink hole attack detection in wireless sensor networks

Sheela, D.; Kumar, Chandan; Mahadevan, G.

doi:10.1109/icrtit.2011.5972397

Cited by 29 publications

(17 citation statements)

References 10 publications

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“…In addition to the well-known limitations of systems using signatures and training phases, the IDS based on fuzzy logic and the hybrid one generate a high rate of false positives and false negatives. In [7], the authors present a IDS that employs mobile agents for the detection of sinkhole attacks. Those agents apply a navigation algorithm in which a mobile agent must provide network information when visiting each node in the networks.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Detection of sinkhole attacks for supporting secure routing on 6LoWPAN for Internet of Things

Cervantes

Poplade

Nogueira

et al. 2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

193

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The Internet of Things (IoT) networks are vulnerable to various kinds of attacks, being the sinkhole attack one of the most destructive since it prevents communication among network devices. In general, existing solutions are not effective to provide protection and security against attacks sinkhole on IoT, and they also introduce high consumption of resources de memory, storage and processing. Further, they do not consider the impact of device mobility, which in essential in urban scenarios, like smart cities. This paper proposes an intrusion detection system, called INTI (Intrusion detection of SiNkhole attacks on 6LoWPAN for InterneT of ThIngs), to identify sinkhole attacks on the routing services in IoT. Moreover, INTI aims to mitigate adverse effects found in IDS that disturb its performance, like false positive and negative, as well as the high resource cost. The system combines watchdog, reputation and trust strategies for detection of attackers by analyzing the behavior of devices. Results show the INTI performance and its effectiveness in terms of attack detection rate, number of false positives and false negatives.

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Section: Related Workmentioning

confidence: 99%

“…In general, there are many studies that quantify the impact of sinkhole attacks on networks like MANETs, WSNs and VANETs [6], [7]. However, these solutions cause other problems, called adverse effects, on the network , such as high rates of false positives and false negatives, high energy consumption, slow system performance, among others.…”

Section: Introductionmentioning

confidence: 99%

Detection of sinkhole attacks for supporting secure routing on 6LoWPAN for Internet of Things

Cervantes

Poplade

Nogueira

et al. 2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

193

View full text Add to dashboard Cite

show abstract

“…The base station uses that value to calculate a VGM (visual geographical map). Later when the EM sends updated RSSI values and the base station identifies a change in packet flow from previous data a sinkhole attack can be detected Sheela, Kumar and Mahadevan proposed a non-cryptographic method using mobile agents to defend against sinkhole attack [14]. The mobile agents create an information matrix of each node by analyzing data transfer.…”

Section: Summary Of Previous Researchmentioning

confidence: 99%

Dealing with Sinkhole Attacks in Wireless Sensor Networks

Chaudhry¹,

Tariq²,

Amin³

et al. 2013

Interdisciplinary Research Theory and Technology

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Abstract. Wireless sensor networks (WSNs) consist of many small wireless sensor nodes which are capable of sensing data and sending it to base stations. WSNs face resource constraints including limitations on communication, power, memory capacity and computational power. Also, since they are frequently deployed in hostile environments and left unattended, they are vulnerable to several attacks such as sinkhole attacks. Sinkhole attacks occur when a compromised node attracts network traffic by advertising fake routing updates. This paper first describes the challenges in detecting sinkhole attacks in WSNs. This is followed by analyzing methods to detect and neutralize sinkholes.

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“…Routing protocols used in wireless Ad hoc networks can be classified in two major types. [5,7]. On the other hand, on-demand routing protocols executes the path finding process when a path is required by a node.…”

Section: Effect Of Sinkhole Attack On Routing Protocolsmentioning

confidence: 99%

Detection of sink Hole Attack in Wireless Sensor Network using Advanced Secure AODV Routing Protocol

Gupta¹,

Kaur²,

Kumar³

2016

IJCA

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ABSTRACTwireless sensor network has been used for data sensing and collection at a single point for decision making process. Attack comprising in WSN produced various issues in data transmission and data management. Sinkhole attack is a compromised attack in WSN that compromised nodes that advertises a shortest path for data transmission. In this paper a new approach has been purposed for detection of sinkhole compromised nodes available in the network. On the basis of simulation results we can see that purposed approach provides better results.

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A non cryptographic method of sink hole attack detection in wireless sensor networks

Cited by 29 publications

References 10 publications

Detection of sinkhole attacks for supporting secure routing on 6LoWPAN for Internet of Things

Detection of sinkhole attacks for supporting secure routing on 6LoWPAN for Internet of Things

Dealing with Sinkhole Attacks in Wireless Sensor Networks

Detection of sink Hole Attack in Wireless Sensor Network using Advanced Secure AODV Routing Protocol

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