Trust-Based Routing for Mitigating Grayhole Attack in MANET

Ullah, Kefayat; Das, Prodipto

doi:10.1007/978-981-10-6890-4_68

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…Detection is achieved by calculating the variance between received recommendations. Ullah et al 95 used a hyperbolic tangent function to limit the trust values within the range −1 and +1. Optimal route is chosen based on trust and threshold value.…”

Section: Classification and Reviewmentioning

confidence: 99%

“…Energy consumption is the main parameter for evaluation of any proposed scheme. Most of the researchers have not considered energy as the performance parameters in trust‐based systems 54–56,95 For the accurate detection of malicious nodes, there is a need to devise mechanism with low false positive and low overheads in terms of computation, communication, and routing 54,57,60,62,69,71,72,90,97,100,101 …”

Section: Open Issuesmentioning

confidence: 99%

“…So a comprehensive mechanism is needed which can tackle all possible attacking mechanism. For this purpose, machine learning can be a good choice 94,95,97,98,101. T A B L E 2 5 A cognitive view of sequence number based schemes…”

mentioning

confidence: 99%

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Capitulation of mitigation techniques of packet drop attacks in MANET to foreground nuances and ascertain trends

Singh¹,

Bhasin

Kalia³

2021

Int J Communication

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MANET is a kind of wireless ad hoc networks, in which mobile nodes operate in dynamic, distributed, and cooperative environment. Open nature of MANET makes it vulnerable to various kinds of attacks. Of these, the most severe are the packet drop attacks such as Blackhole attack, Cooperative Blackhole, and Grayhole attacks. The malicious nodes drop the packets as these packets are routed through them in accordance with the malefic strategy of the particular packet drop attack, which adversely affects the network performance. A substantial amount of research papers focus on dealing with packet drop attacks in the last few years, but security is still an impending issue. In this paper, we have presented the systematic review of the literature of last 6 years on all variants of packet drop attacks. We have classified these techniques into four categories, namely, mathematical based, monitoring based, network dependent, and amalgamation based which are further sub divided into 12 categories. These papers are categorized in a well-defined structure to bring out their contribution, to underline the left-out things, and to foreground the emerging issues for future research. Detailed observations are recorded following a panoptic study in order to identify and divulge more eligible and effective mitigation techniques in a particular environment.

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Section: Classification and Reviewmentioning

confidence: 99%

Section: Open Issuesmentioning

confidence: 99%

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Capitulation of mitigation techniques of packet drop attacks in MANET to foreground nuances and ascertain trends

Singh¹,

Bhasin

Kalia³

2021

Int J Communication

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“…• Each attack advertises fake route during routing discovery [16], [20]. [23], [24] [14]- [17], [25] Ability to Can not Can Can communicate [13], [24] [14], [16] [12], [20], [25] with [25], [27] destination node…”

Section: ) Blackhole Attack 2) Grayhole Attack 3) Wormhole Attack 4)mentioning

confidence: 99%

Identifying the Impacts of Active and Passive Attacks on Network Layer in a Mobile Ad-hoc Network: A Simulation Perspective

Ahamed¹,

Fernando²

2020

IJACSA

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In this research, we attempted to investigate about the features and behaviors of network layer based active and passive attacks in Ad-hoc On-Demand Vector (AODV) routing protocol in Mobile Ad-hoc Networks (MANET). Through the literature survey, we try to understand the features of each attacks and examine the behaviors of these attacks through simulations via Network Simulator 2 (NS2). Blackhole, Grayhole and Wormhole attacks are used in this simulation study. Each attacks are introduced independently into the network to find the impacts on network performances that are evaluated through Packet Delivery Ratio (PDR), Average End-to-End Delay (AEED), Throughput, Average Data Dropping Rate (ADDR) and Simulation Processing Time at Intermediate Nodes (SPTIN). To obtain more accurate results, simulation parameters are maintained same in each simulation. A controller network is simulated to compare with each attack simulation. Simulations are repeated by changing the number of connected intermediate nodes (hops) in the network. We observed at collected data analysis, the lowest SPTIN in the network that contained a Blackhole or Grayhole attack out of these three attacks. The network which is affected by a Blackhole attack shows higher amount of ADDR than controller network. Furthermore data forwarding rate is higher in the network which is affected by a Wormhole attack. Finally, according to the simulation studies, we are able to understand that Blackhole and Grayhole attacks cause more damage to the network performances than Wormhole attacks.

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“…Ad hoc on-demands distances vector (AODV) [14] together with Dynamics Sources Routing (DSR) [15] are the reactive routing protocols, which instantly get started when the nodes needed the data packets to be transmitted, and also lessens the cost of bandwidth. With the node's dynamic nature as well as changes that occur often in the topology, the optimum route selection aimed at communication is a demanding task [16]. Additionally, if the node acts maliciously or selfishly, then that will disturb the complete network.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Trust and Weight Evaluation Based Trust Assessment Using ECK-ANFIS and AOMDV-REPO Based Optimal Routing in MANET Environment

Dupak

Banerjee

2022

Preprint

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In Mobile Ad hoc NETworks (MANET), the employment of trust-based routing has attained augmenting attention during the past years. A novel approach for ensuring dependable routing in an adversarial MANET is the Trust-based routing protocols. Most prevailing works were done on the routing protocols development for security augmentation on an adversarial environment. These protocols encompass some flaws and are not secured on the MANET environment. This research method utilizes the Exponential Cauchy Kernelized Adaptive Neuro-Fuzzy Inference System (ECK-ANFIS) centered trust assessment utilizing Hybrid Trust (HT) evaluation along with optimal routing on the MANET for tackling those issues. In this proposed model, the nodes are first initialized; next, ECK-ANFIS assessed the trust. For the evaluation, the HT together with the weight value is estimated for the nodes. Subsequently, the lower-level Trust Value (TV) nodes are secluded into a separate box. Next, the cluster is created on the trusted node. Improved K-Harmonic Mean (IKHM) algorithm forms the Cluster Head (CH). Ad hoc On-demand Multi-path Distance Vector (AOMDV) discovered the route. Range Emperor Penguin Optimization (REPO) selects the optimal route as of the manifold nodes. Next, the route is maintained utilizing the same algorithm. In the investigational study, the performance is examined with the prevailing methods centered upon performance metrics. Therefore, the better performance of the proposed work is proved.

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Trust-Based Routing for Mitigating Grayhole Attack in MANET

Cited by 4 publications

References 7 publications

Capitulation of mitigation techniques of packet drop attacks in MANET to foreground nuances and ascertain trends

Capitulation of mitigation techniques of packet drop attacks in MANET to foreground nuances and ascertain trends

Identifying the Impacts of Active and Passive Attacks on Network Layer in a Mobile Ad-hoc Network: A Simulation Perspective

Hybrid Trust and Weight Evaluation Based Trust Assessment Using ECK-ANFIS and AOMDV-REPO Based Optimal Routing in MANET Environment

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