Compromised Sensor Nodes Detection: A Quantitative Approach

Li, Tao; Song, Min; Alam, M. S.

doi:10.1109/icdcs.workshops.2008.59

Cited by 22 publications

(15 citation statements)

References 9 publications

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“…This is a common assumption, and it represents an active area of research (for instance see [14,15]). Last, we assume that there is a way to distribute key updates secretly and on an authenticated channel, and there is a way to distribute authenticated messages commanding nodes to update their counters.…”

Section: Scheme Analysismentioning

confidence: 99%

“…We assume that a compromised node is eventually detected: different detection strategies exist in literature [14,15]. If a node is compromised, the ACM increments c 1 and c 2 , and transfers to all non-compromised sensors, on a secure channel, the updated value S = h(S, c 1 ): this step can be performed through a secure broadcast scheme 4 .…”

Section: Putting It All Togethermentioning

confidence: 99%

See 1 more Smart Citation

Efficient Access Control for Wireless Sensor Data

Sorniotti

Molva

Gomez

2009

Int J Wireless Inf Networks

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Abstract. Although very developed in many sectors (databases, filesystems), access control schemes are still somewhat elusive when it comes to wireless sensor networks. However, it is clear that many WSN systems -such as healthcare and automotive ones -need a controlled access to data that sensor nodes produce, given its high sensitivity. Enforcing access control in wireless sensor networks is a particularly difficult task due to the limited computational capacity of wireless sensor nodes. In this paper we present a full-fledged access control scheme for wireless sensor data. We enforce access control through data encryption, thus embedding access control in sensor data units. We also propose a lightweight key generation mechanism, based on cryptographic hash functions, that allows for hierarchical key derivation. The suggested protocol only relies on simple operations, does not require interactions between nodes and data consumers and has minimal storage requirements.

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Section: Scheme Analysismentioning

confidence: 99%

Section: Putting It All Togethermentioning

confidence: 99%

Efficient Access Control for Wireless Sensor Data

Sorniotti

Molva

Gomez

2009

Int J Wireless Inf Networks

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“…However, this approach is only effective for static networks. In [10], the authors propose a localized approach to detect compromised nodes. All the sensor nodes are divided into multiple groups.…”

Section: Related Workmentioning

confidence: 99%

A Novel Algorithm for Detecting Sinkhole Attacks in WSNs

Bahekmat¹,

Yaghmaee²,

Yazdi³

et al. 2012

IJCTE

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Abstract-Nowadays with the wide range of applications in wireless sensor networks, there is an increasing need for security of these networks. These networks have been subjected to numerous attacks among which Sinkhole attack is one of the notable ones. In Sinkhole attack, sometimes the adversary node poses itself as a fake base station (BS) and receives all data of the network. It prevents data from reaching the main BS, or changes the received data and then transfers them to the main BS. In this paper, we present an efficient algorithm in terms of energy consumption. In the proposed algorithm, when a node desires to send data to the BS, it firstly sends a control packet directly to the main BS. Then it begins to send data packets to the BS in form of hop by hop routing. When the data packet arrives at the BS, some of its control fields are compared with the same ones of the original control packet. If any changes have been made to these control fields of the data packet, it shows that there is a malicious node; the BS detects it using the proposed strategy. The performance of the proposed method has been evaluated and compared with that of Ngai's algorithm. The simulation results indicate that the proposed algorithm is more efficient than it.Index Terms-Wireless sensor networks, sinkhole attack, wormhole, base station, detection.

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“…Michiardi and Molva assign a value to the "reputation" of a node and use this information to identify misbehaving nodes and cooperate only with nodes with trusted reputations [6]. Albers and Camp couple a trust-based mechanism with a mobile agent based intrusion detection system, but do not discuss the security implications or overhead needed to secure the network and individual nodes from the mobile agents themselves [7].Gateway nodes in neighboring zones can then further collaborate to perform intrusion detection tasks in a wider area and to attempt to reduce false positive alarms [8].…”

Section: Related Workmentioning

confidence: 99%

Intrusion Detection Technique in Mobile Adhoc Network Based on Quantitative Approach

Hirnwal¹,

Chauhan²,

Gupta³

2012

IJCA

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In this paper ,we study the types of attacks in intrusion detection system in Mobile Ad Hoc network(MANET).Mobile Adhoc Networks are a relatively new and rapidly evolving area of interests. One such field concerns mobile adhoc networks (MANETs) in which mobile nodes organize themselves in a network without the help of any predefined infrastructure. Securing MANETs is an important part of deploying and utilizing them, since they are often used in critical applications where data and communications integrity in important. Many solution for intrusion detection in wireless environments have been developed but these solution may not always be sufficient, as ad-hoc networks have their own vulnerabilities that cannot be addressed by these solutions. In this paper traditional security algorithms coupled with intrusion detection mechanism. Here we using a quantitative method to detect intrusion in MANETS with mobile nodes. Our method is a behavioral anomaly based system, which makes it dynamic, scalable, configurable and robust. For simulating our mobile nodes use AODV (Adhoc on demand distance Vector)routing. It is observed that the malicious node detection rate is very good and false positive detection rate is slow.

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Compromised Sensor Nodes Detection: A Quantitative Approach

Cited by 22 publications

References 9 publications

Efficient Access Control for Wireless Sensor Data

Efficient Access Control for Wireless Sensor Data

A Novel Algorithm for Detecting Sinkhole Attacks in WSNs

Intrusion Detection Technique in Mobile Adhoc Network Based on Quantitative Approach

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