Trusted Opportunistic Routing Based on Node Trust Model

Su, Bing; Du, Chenhui; Huan, Juan

doi:10.1109/access.2020.3020129

Cited by 14 publications

(6 citation statements)

References 32 publications

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“…Su et al [27] suggested a trust model based opportunistic routing (BTOR). BTOR filters forwarding nodes based on their behavior to combat malicious nodes.…”

Section: B Game Theory-based Opportunistic Routingmentioning

confidence: 99%

“…To compare the performance of our method, we use the traditional Q-routing method [40]. In addition, the trust-based opportunistic routing (BTOR) [27], Q-learning-based routing protocols such as SAQ [28], and Qlearning-based multihop cooperative routing (QMCR) [29] schemes, which were recently published in papers reporting state-of-the-art results, were also selected.…”

Section: Performance Evaluationmentioning

confidence: 99%

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Reputation-Based Opportunistic Routing Protocol Using Q-Learning for MANET Attacked by Malicious Nodes

Ryu

Kim

2023

IEEE Access

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Irrespective of whether the environment is wired or wireless, routing is an important challenge in networks. Since mobile ad hoc networks (MANETs) are flexible and decentralized wireless networks, routing is very difficult. Furthermore, malicious nodes existing in the MANET can damage the routing performance of the network. Recently, reinforcement learning has been proposed to address these problems. Being a reinforcement learning algorithm, the Q-learning mechanism is suitable for an opportunistic routing approach because it not only adapts to changing networks, but also mitigates the effect of malicious nodes on packet transmission. In this study, we propose a new reinforcement learning routing protocol for MANETs called reputation opportunistic routing based on Q-learning (RORQ). Using this protocol, which works based on game theory, a reputation system can detect and exclude malicious nodes in a network for efficient routing. Thus, our method can find a routing path more effectively in an environment attacked by malicious nodes. The simulation results showed that the proposed method could achieve superior routing performance compared with other state-of-the-art routing protocols. In addition, compared to other algorithms, the proposed method demonstrated gains of up to 55% in terms of packet loss, up to 82% in terms of average end-to-end delay, and up to 28% in terms of energy efficiency in the blackhole attack scenario and up to 73% in terms of packet loss, up to 35% in terms of average end-to-end delay, and up to 12% in terms of energy efficiency in the gray hole attack scenario.

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“…Su et al [27] suggested a trust model based opportunistic routing (BTOR). BTOR filters forwarding nodes based on their behavior to combat malicious nodes.…”

Section: B Game Theory-based Opportunistic Routingmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

Reputation-Based Opportunistic Routing Protocol Using Q-Learning for MANET Attacked by Malicious Nodes

Ryu

Kim

2023

IEEE Access

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“…Reference [ 35 ] proposes a trust model based on node behavior to deal with malicious nodes in opportunistic routing and forwarding candidate set. By using pruning and filtering mechanisms, it deletes malicious suggestions and uses dynamic weight calculation method to combine direct trust and indirect trust to get the comprehensive trust.…”

Section: Common Applications Of Trustmentioning

confidence: 99%

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Xia

Wei

Zhang

2022

Computational Intelligence and Neuroscience

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The scale of wireless sensor networks changes depending on specific application tasks. How to design a relatively simple security mechanism that can extend with the expansion of network scale is an arduous task. As the wireless sensor network mostly adopts the decentralized organization form, once the network nodes are distributed adequately, it is difficult to find out the failure of any node. In addition, the node has weak resistance to physical damage, so any node in the network may potentially become a cause of security vulnerability. In this study, firstly, the security standards that wireless sensor networks should have and the current security challenges faced by the network are discussed in detail, and the importance of security issues in wireless sensor networks is pointed out. Secondly, this paper studies and analyzes the current situation of wireless sensor network security problems including the internal and external attacks and the active and passive attacks. Thirdly, this paper also discusses the significance, concept, and characteristics of reputation and trust, the division and composition of reputation and trust system, and the common applications of the reputation and trust mechanism in wireless sensor networks.

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“…Su et al, [16] applied the trust model to opportunistic routing for the first time, and the calculation of trust value was based on the direct trust degree of direct interaction and the recommendation trust degree similar to trust; however, the parameter values used to calculate the direct trust degree mostly depend on expert experience. It will affect the objective evaluation of the trust model to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient and Trust-based Quality of Service Routing in Mobile Adhoc Networks

G. Sripriya, Dr. T. Santha

2023

tjjpt

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Mobile Ad-hoc Networks are widely used in all applications and are gaining attention towards reliable data delivery and efficient energy usage. Reliability of the data delivery is assured when the routing protocols are securely reliable and energy efficient. Limited resources being the main limitation of the wireless networks, there is a lack in providing security to the data and energy utilization. Trust aware routing can resolve the resource problems in MANETS. So, to overcome these limitations, an Energy Efficient and Trust-based Quality of Service Routing in Mobile Adhoc Networks is proposed. This protocol evaluates the trust score of the nodes based on the connectivity of the nodes and ACK sincerity, based on the comprehensive trust of the node's energy consumption required and communication cost for the communication between node is evaluated. This protocol efficiently identifies the malicious nodes based on the trust score it is the additional advantage of evaluating the trust score of nodes. The simulation results prove that the proposed protocol guarantees the reliable data delivery and aid to extend the life time of the network thereby improves the throughput of the network.

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Trusted Opportunistic Routing Based on Node Trust Model

Cited by 14 publications

References 32 publications

Reputation-Based Opportunistic Routing Protocol Using Q-Learning for MANET Attacked by Malicious Nodes

Reputation-Based Opportunistic Routing Protocol Using Q-Learning for MANET Attacked by Malicious Nodes

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

An Energy Efficient and Trust-based Quality of Service Routing in Mobile Adhoc Networks

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