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            ‐SR: a novel energy‐efficient secure routing scheme to protect MANET‐IoT

Ponguwala, Maitreyi; Rao, Sreenivasa

doi:10.1049/iet-com.2019.0039

Cited by 25 publications

(21 citation statements)

References 35 publications

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“…. A closer look into expression(8) will show that it is nearly equivalent to the expression (6), and hence they both satisfy the demands of normal distribution. A similar strategy of risk associated with the identification of the attacker can be now stated as,risk = 1 − 3 .…”

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confidence: 86%

Game Theory Analysis and Modeling of Sophisticated Multi-Collusion Attack in MANETs

et al. 2021

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Mobile Adhoc Network (MANET) has been a core topic of research since the last decade. Currently, this form of networking paradigm is increasingly being construed as an integral part of upcoming urban applications of Internet-of-Things (IoT), consisting of massive connectivity of diverse types of nodes. There is a significant barrier to the applicability of existing routing approaches in conventional MANETs when integrated with IoT. This routing mismatch can lead to security risks for the MANET-based application tied with the IoT platform. This paper examines a pragmatic scenario as a test case wherein the mobile nodes must exchange multimedia signals for supporting real-time streaming applications. There exist two essential security requirements viz. i) securing the data packet and ii) understanding the unpredictable behavior of the attacker. The current study considers sophistication on the part of attacker nodes. They are aware of each other's identity and thereby collude to conduct lethal attacks, which is rarely reflected in existing security modeling statistics. This research harnesses the potential modeling aspect of game theory to model the multiple-collusion attacker scenario. It contributes towards i) modeling strategies of regular/malicious nodes and ii) applying optimization principle using novel auxiliary information to formulate the optimal strategies. The model advances each regular node's capability to carry out precise computation about the opponent player's strategy prediction, i.e., malicious node. The simulation outcome of the proposed mathematical model in MATLAB ascertains that it outperforms the game theory's baseline approach.

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confidence: 86%

Game Theory Analysis and Modeling of Sophisticated Multi-Collusion Attack in MANETs

et al. 2021

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“…It included the historical behaviour of nodes into account in the trust assessment for determined the sequence of trust data. It facilitated the prediction of node's trust based on a weighted Markov Chain (SCGM) measure that aided in better futuristic [19] for guaranteeing data integrity and security in ad hoc networks. This SREEF adopted an authentication scheme that included the benefits of certificate-based hash chain.…”

Section: Related Workmentioning

confidence: 99%

Gaussian Trust Factor-based Grey Decision Making Technique (GTF-GDMT) for Node Cooperation Enforcement in MANETs

Sirisala¹,

Krishna²

2021

IJIES

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The successful routing in Mobile Ad hoc Networks (MANETs) completely depends on the cooperation established between the mobile nodes during data dissemination. The resource constraint feature of mobile nodes is the main reason behind its non-cooperativeness attributed towards other interacting nodes of the network. This degree of non-cooperation rendered by the mobile node disturbs the routing and degrades the network performance. Thus, a node cooperation enforcing approach that distinguishes genuine node from malicious node is essential for sustaining the network performance. In this paper, Gaussian Trust Factor-based Grey Decision-Making Technique (GTF-GDMT) is proposed for maintaining the network performance independent to the influence of non-cooperative malicious nodes. This proposed GTF-GDMT identified the malicious nodes based on the trust factor that integrates the parameters of link stability and node reputation determined through direct and indirect monitoring process. This computation of trust is achieved using the Gaussian probabilistic distribution model that utilizes multi-perspective parameters that forms the input to the decision-making process. It is proposed for attaining the trade-off between energy consumption, transmission performance and security. The simulation experiments of the proposed GTF-GDMT conducted using ns-2 portrayed its excellence over the baseline schemes in terms of throughput, packet delivery rate, packet delay, energy consumptions and packet drop independent to the number of mobile nodes and malicious nodes in the network.

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“…The way in which the measure of confidence is generated, allows us to divide the strategies, structures that contain the actions to be developed, into the types mentioned below we will mention the main characteristics [20] of each types: a) Cluster: This trust scheme uses authentication by means of public keys in the evaluation of a node, these are grouped into clusters which allows a group of nodes to monitor the activity of the equipment directly, the nodes certify the trust of a computer which can be verified with the use of the key and a certificate issued by each neighbour, the nodes which issue trust certificates [21,22] which do not coincide with the evaluation of the Cluster would be considered "malicious" nodes and would lose the possibility of participating in the network [23,24]. b) Social networks: Model based on four components on each computer; Monitor that detects unusual behaviour in the nodes, reputation system that allows the nodes to be qualified acording to their routing or data transmission actions, route manager in charge of selecting the routes they present, and a trusted manager that alerts to the so-called malicious nodes.…”

Section: Trusted Modelsmentioning

confidence: 99%

Evaluation of Trust Algorithm in a Mobile Ad-Hoc Network Using Artificial Engineering

Kowsalya¹

2021

TURCOMAT

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A MANET network is made up of wireless nodes which operate without a defined structure, the arrangement of existing devices does not have any ministerial or control entity . the management tasks are carried out by the teams which are in the network, therefore a MANET network is said to be a managed network. As there is no infrastructure, such as, the bandwidth, availability, input error rate, among others, depend exclusively on the behaviour of the network users. This work presents a functional solution, which decreases the energy consumption in MANET networks, implemented using game theories and genetic algorithms solution. The evaluation of the pay-as-you-go strategy from the modified prisoner dilemma was shown to be an easy to implement and interpret tool for the network equipment. The processes of generation, combination and mutation of strategies demonstrated the in-centive of cooperation in the network, observed in the increase of the average confidence of the nodes, a very high value. The intervention of the protocol with the use of genetic algorithms, demonstrated ot be a form of implementation of solutions for problems of multiple agents, the increase in the evaluation of trust of the nodes was observed, which can be interpreted as a convergence of the nodes to cooperate. The results obtained in the simulations carried out show the functioning of the algorithm implemented and the functionality of the network after its implementation.

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E ² ‐SR: a novel energy‐efficient secure routing scheme to protect MANET‐IoT

Cited by 25 publications

References 35 publications

Game Theory Analysis and Modeling of Sophisticated Multi-Collusion Attack in MANETs

Game Theory Analysis and Modeling of Sophisticated Multi-Collusion Attack in MANETs

Gaussian Trust Factor-based Grey Decision Making Technique (GTF-GDMT) for Node Cooperation Enforcement in MANETs

Evaluation of Trust Algorithm in a Mobile Ad-Hoc Network Using Artificial Engineering

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E 2 ‐SR: a novel energy‐efficient secure routing scheme to protect MANET‐IoT

Cited by 25 publications

References 35 publications

Game Theory Analysis and Modeling of Sophisticated Multi-Collusion Attack in MANETs

Game Theory Analysis and Modeling of Sophisticated Multi-Collusion Attack in MANETs

Gaussian Trust Factor-based Grey Decision Making Technique (GTF-GDMT) for Node Cooperation Enforcement in MANETs

Evaluation of Trust Algorithm in a Mobile Ad-Hoc Network Using Artificial Engineering

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E ² ‐SR: a novel energy‐efficient secure routing scheme to protect MANET‐IoT