Attack‐pattern discovery based enhanced trust model for secure routing in mobile ad‐hoc networks

Jhaveri, Rutvij H.; Patel, Neelam

doi:10.1002/dac.3148

Cited by 50 publications

(39 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the routing process of TRS-PD is modified to enhance the routing decisions. As aforementioned, ETRS-PD attempts to improve the packet delivery ratio against the adversary models discussed in our previous work [5].…”

Section: Trust Modelmentioning

confidence: 99%

“…To be specific, a node n i will increase the distrust score of its neighbour n j if the n j does not forward the packet sent by n i [5].…”

Section: Trust Computationmentioning

confidence: 99%

“…[5], we incorporate an attack pattern discovery mechanism on the top of the trust model, which employs the model of method of common differences (MCD). Thus, the pattern discovery mechanism attempts to identify the adversaries following attack patterns prior to conducting misbehaviours; on the other hand, the trust model detects other packetdropping adversaries during the trust update procedure.…”

Section: Definition 4 Ditch Ratio (Dtr): It Is the Ratio Of The Numbmentioning

confidence: 99%

“…In our previous work [5], we devised a trusted routing scheme with pattern discovery (TRS-PD) that integrates a trust model (based on QoS trust components) with an attack-pattern discovery mechanism in order to detect the malicious nodes earlier than a solitary trust model. TRS-PD estimates the distrust degree of neighbour nodes using direct trust computation.…”

Section: Introductionmentioning

confidence: 99%

“…ETRS-PD attempts to improve the packet delivery ratio against the adversary models discussed in Ref. [5] by enhancing the routing process. The performance of ETRS-PD is compared with TRS-PD against these adversary models under different network conditions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Composite Trust Model for Secure Routing in Mobile Ad-Hoc Networks

Jhaveri¹,

Patel²,

Jinwala³

2017

Ad Hoc Networks

Self Cite

View full text Add to dashboard Cite

It is imperative to address the issue of secure routing in mobile ad-hoc networks (MANETs) where the nodes seek for cooperative and trusted behaviour from the peer nodes in the absence of well-established infrastructure and centralized authority. Due to the inherent absence of security considerations in the traditional ad-hoc routing protocols, providing security and reliability in the routing of data packets is a major challenge. This work addresses this issue by proposing a composite trust metric based on the concept of social trust and quality-of-service (QoS) trust. Extended from the ad-hoc on-demand distance vector (AODV) routing protocol, we propose an enhanced trustbased model integrated with an attack-pattern discovery mechanism, which attempts to mitigate the adversaries craving to carry out distinct types of packet-forwarding misbehaviours. We present the detailed mode of operations of three distinct adversary models against which the proposed scheme is evaluated. Simulation results under different network conditions depict that the combination of social and QoS trust components provides significant improvement in packet delivery ratio, routing overhead, and energy consumption compared to an existing trust-based scheme.

show abstract

Section: Trust Modelmentioning

confidence: 99%

“…To be specific, a node n i will increase the distrust score of its neighbour n j if the n j does not forward the packet sent by n i [5].…”

Section: Trust Computationmentioning

confidence: 99%

Section: Definition 4 Ditch Ratio (Dtr): It Is the Ratio Of The Numbmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Composite Trust Model for Secure Routing in Mobile Ad-Hoc Networks

Jhaveri¹,

Patel²,

Jinwala³

2017

Ad Hoc Networks

Self Cite

View full text Add to dashboard Cite

show abstract

A fuzzy‐based trust model for flying ad hoc networks (FANETs)

Singh

Verma

2018

Int J Communication

View full text Add to dashboard Cite

SummaryThe use of unmanned aerial vehicles has significantly increased for forming an ad hoc network owing to their ability to perform in exciting environment such as armed attacks, border surveillance, disaster management, rescue operation, and transportation. Such types of ad hoc networks are popularly known as flying ad hoc networks (FANETs). The FANET nodes have 2 prominent characteristics—collaboration and cooperation. Trust plays an important role in predicting the behavior of such nodes. Researchers have proposed various methods (direct and indirect) for calculation of the trust value of a given node in ad hoc networks, especially in mobile ad hoc networks and vehicular ad hoc networks. The major characteristic that differentiates a FANET from other ad hoc networks is the velocity of the node; as a result, there are frequent losses in connection and topology change. Therefore, the existing methods of trust calculation are not efficient and effective. In this paper, a fuzzy‐based novel trust model has been proposed to handle the behavioral uncertainty of FANET nodes. Nodes are classified using a multicriteria fuzzy classification method based on node's behavior and performance in the fuzzy and complex environment. Quality of service and social parameter (recommendation) are considered for evaluating the trust value of each node to segregate the selfish and malicious nodes. With the node classification, FANET nodes are rewarded or punished to transform node behavior into a trust value. Compared with the existing trust techniques, the simulation results show that the proposed model has better adaptability, accuracy, and performance in FANETs.

show abstract

E‐TDGO: An encrypted trust‐based dolphin glowworm optimization for secure routing in mobile ad hoc network

Mukhedkar¹,

Kolekar²

2020

Int J Communication

View full text Add to dashboard Cite

Mobile ad hoc networks (MANETs) are independent networks, where mobile nodes communicate with other nodes through wireless links by multihop transmission. Security is still an issue to be fixed in MANETs. Hence, a routing protocol named encrypted trust-based dolphin glowworm optimization (DGO) (E-TDGO) is designed using Advanced Encryption and trust-based optimization model for secure routing in MANET. The proposed E-TDGO protocol includes three phases, namely, k-path discovery, optimal path selection, and communication. At first, k paths are discovered based on the distance and the trust level of the nodes. From the k paths discovered, the optimal path is selected using a novel algorithm, DGO, which is developed by combining glowworm swarm optimization (GSO) algorithm and dolphin echolocation algorithm (DEA). Once the optimal path is selected, communication begins in the network such that E-TDGO protocol ensures security. The routing messages are encrypted using AES-128 with shared code and key to offer security. The experimental results show that the proposed E-TDGO could attain throughput of 0.11, delay of 0.01 second, packet drop of 0.44, and detection rate of 0.99, at the maximum number of rounds considered in the network of 75 nodes with attack consideration. K E Y W O R D SAES-128, mobility, optimization algorithm, route discovery, routing, security, trust | INTRODUCTIONPresently, ad hoc networks, being a popular and widely used network, are employed in various kinds of applications. These are the wireless networks that are self-organized having no centralized or fixed infrastructures. Ad hoc networks are composed of nodes, which can be both clients and routers. 1 Wireless ad hoc networks (WANETs) 2,3 are selfconfiguring and decentralized wireless network. One of the major features of ad hoc network is that it is independent of any preexisting infrastructure like routers in a wired network and every node in the network involves in routing. 4 The network functionality can be divided into three planes, namely, data plane, control plane, and management plane. The data plane handles the data packets, whereas the control plane implements the routing algorithms. Meanwhile, the network is configured and monitored by the management plane. In the data plane, ad hoc networks undergo several attacks due to certain characteristics, such as openness and dynamic topology. There are two types of attacks, such as (a) attacks interrupting normal delivery of packets in the data plane and (b) attacks diverting the network elements from using exact protocol and management policies in the control and the management planes. The attacks in the data plane are more complicated to detect and avoid, as they do not violate the protocol rules. 1 The two important aspects of these networks are routing and information broadcasting.Mobile ad hoc network (MANET) is an application of WANET, where the objective is to establish an efficient route between a pair of nodes such that the messages are delivered in a proper time interval. If rout...

show abstract

Attack‐pattern discovery based enhanced trust model for secure routing in mobile ad‐hoc networks

Cited by 50 publications

References 22 publications

A Composite Trust Model for Secure Routing in Mobile Ad-Hoc Networks

A Composite Trust Model for Secure Routing in Mobile Ad-Hoc Networks

A fuzzy‐based trust model for flying ad hoc networks (FANETs)

E‐TDGO: An encrypted trust‐based dolphin glowworm optimization for secure routing in mobile ad hoc network

Contact Info

Product

Resources

About