An Energy Aware Trust Based Intrusion Detection System with Adaptive Acknowledgement for Wireless Sensor Network

Rajeshkumar, G.; Valluvan, K. R.

doi:10.1007/s11277-016-3349-y

Cited by 38 publications

(26 citation statements)

References 24 publications

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“…PROVEnance‐based Trust model (PROVEST) was introduced by Cho and Chen, where the route dynamically changes and in the presence of the malicious nodes, the trust of the node is evaluated. According to the Trust‐Based Adaptive Acknowledgment (TRAACK) protocol proposed by Rajeshkumar and Valluvan, acknowledgment is initiated on the chosen packets based on the trust value of the entire route. Here the intermediate nodes forward the packet to the destination.…”

Section: Literature Reviewmentioning

confidence: 99%

Trust‐based secure routing and the prevention of vampire attack in wireless ad hoc sensor network

Sajan

J²

2020

Int J Communication

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Summary The recent development in technologies is the driving force for development in sensors, especially in military applications. Due to the openness nature of the ad hoc sensor network, the system gets easily affected, which may lead to some packet drop, transmission delay, high network overhead, and more energy consumption. In this paper, the security during data transmission is provided to the network by using the proposed Secure Atom Search Routing (SASR) algorithm, which is adopted from the behavior of molecular dynamics. For global optimization problems, this algorithm provides an effective solution based on the constraint and interaction force of atoms. Moreover, the performance of SASR is improved by providing a proper balance between exploitation and exploration. Since the knowledge base processes all the data, the computational complexity is reduced and the lifetime of the network is increased. The simulation and performance are carried out for the proposed Knowledge and Intrusion Detection based Secure Atom Search Routing (KID‐SASR) protocol and is compared with the existing methods based on the metrics trust, delay, throughput, energy, packet delivery ratio, network lifetime, trust detection rate, and communication cost. The results obtained show improvement in the overall performance of the system.

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Section: Literature Reviewmentioning

confidence: 99%

Trust‐based secure routing and the prevention of vampire attack in wireless ad hoc sensor network

Sajan

J²

2020

Int J Communication

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“…Zhang et al [46] proposed a trust model based on cloud model for clustered WSN. Rajeshkumar et al [47] proposed an adaptive trust-based acknowledgment IDS using active successful deliveries. In this method, Kalman filter is used to estimate the trust factor of a node.…”

Section: Related Workmentioning

confidence: 99%

LB-IDS: Securing Wireless Sensor Network Using Protocol Layer Trust-Based Intrusion Detection System

Ghugar

Pradhan

Bhoi

et al. 2019

Journal of Computer Networks and Communications

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Wireless sensor network (WSN) faces severe security problems due to wireless communication between the nodes and open deployment of the nodes. The attacker disrupts the security parameters by launching attacks at different layers of the WSN. In this paper, a protocol layer trust-based intrusion detection system (LB-IDS) is proposed to secure the WSN by detecting the attackers at different layers. The trust value of a sensor node is calculated using the deviation of trust metrics at each layer with respect to the attacks. Mainly, we consider trustworthiness in the three layers such as physical layer trust, media access control (MAC) layer trust, and network layer trust. The trust of a sensor node at a particular layer is calculated by taking key trust metrics of that layer. Finally, the overall trust value of the sensor node is estimated by combining the individual trust values of each layer. By applying the trust threshold, a sensor node is detected as trusted or malicious. The performance of LB-IDS is evaluated by comparing the results of the three performance parameters such as detection accuracy, false-positive rate, and false-negative rate, with the results of Wang’s scheme. We have implemented jamming attack at the physical layer, back-off manipulation attack at the MAC layer, and sinkhole attack at the network layer using simulations. We have also implemented a cross-layer attack using the simulation where an attacker simultaneously attacks the MAC layer and network layer. Simulation results show that the proposed LB-IDS performs better as compared with Wang’s scheme.

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“…In [ 36 , 37 ], some new models are used to evaluate the trustworthiness. Zhang et al [ 36 ] put forward a trust evaluation method for clustered wireless sensor networks based on cloud model, which implements the conversion between qualitative and quantitative of trust metrics and produces different types of trust cloud to evaluate trust values of cluster heads and cluster members.…”

Section: Related Workmentioning

confidence: 99%

“…The focus of this paper is on anomaly detection schemes. Recently, different types of anomaly detection schemes based on traffic prediction [ 15 ], statistical method [ 16 ], data mining [ 17 ], game theory [ 18 , 19 , 20 ], immune theory [ 21 ], or trust management [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ], etc., have been proposed.…”

Section: Introductionmentioning

confidence: 99%

A Protocol Layer Trust-Based Intrusion Detection Scheme for Wireless Sensor Networks

Wang

Jiang

Fapojuwo

2017

Sensors

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This article proposes a protocol layer trust-based intrusion detection scheme for wireless sensor networks. Unlike existing work, the trust value of a sensor node is evaluated according to the deviations of key parameters at each protocol layer considering the attacks initiated at different protocol layers will inevitably have impacts on the parameters of the corresponding protocol layers. For simplicity, the paper mainly considers three aspects of trustworthiness, namely physical layer trust, media access control layer trust and network layer trust. The per-layer trust metrics are then combined to determine the overall trust metric of a sensor node. The performance of the proposed intrusion detection mechanism is then analyzed using the t-distribution to derive analytical results of false positive and false negative probabilities. Numerical analytical results, validated by simulation results, are presented in different attack scenarios. It is shown that the proposed protocol layer trust-based intrusion detection scheme outperforms a state-of-the-art scheme in terms of detection probability and false probability, demonstrating its usefulness for detecting cross-layer attacks.

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An Energy Aware Trust Based Intrusion Detection System with Adaptive Acknowledgement for Wireless Sensor Network

Cited by 38 publications

References 24 publications

Trust‐based secure routing and the prevention of vampire attack in wireless ad hoc sensor network

Trust‐based secure routing and the prevention of vampire attack in wireless ad hoc sensor network

LB-IDS: Securing Wireless Sensor Network Using Protocol Layer Trust-Based Intrusion Detection System

A Protocol Layer Trust-Based Intrusion Detection Scheme for Wireless Sensor Networks

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