Defense Against Co-Operative Black-hole Attack and Gray-hole Attack in MANET

Panda, Niranjan; Pattanayak, Binod Kumar

doi:10.14419/ijet.v7i3.4.16752

Cited by 13 publications

(9 citation statements)

References 21 publications

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“…Sleep Deprivation: This type of attack interfaces through other hub in such method that gives off an impression of being true blue, yet the motivation behind the communication is to keep the casualty hub out of its energy preserving rest mode [30].…”

Section: Different Types Of Attacks Are Described As Followmentioning

confidence: 99%

“…In the Gray Hole Attack, the malevolent hub drops a portion of the bundle or send parcel to wrong hub. Every hub of MANET needs an address through which hubs are recognized [30]. Sybil Attack: In this type of attack, the malicious hub makes the network path improper by diving the networks, this leads to shortage of resources for a network.…”

Section: Gray Hole Attackmentioning

confidence: 99%

“…Sybil Attack: In this type of attack, the malicious hub makes the network path improper by diving the networks, this leads to shortage of resources for a network. It can also create the routing loop so that the packet cannot receive to its correct destination [30]. Figure 1 illustrates the classification of network layer attacks in MANETs.…”

Section: Gray Hole Attackmentioning

confidence: 99%

“…Classification of network layer attacks in MANETs [24] malevolent hub drops a portion of the bundle or send parcel to wrong hub. Every hub of MANET needs an address through which hubs are recognized [30].…”

Section: Figurementioning

confidence: 99%

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Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

Khan

Aslam

Akhtar

et al. 2020

ITC

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The Mobile ad-hoc networks are auto configured systems where hubs can travel towards any direction. It doesn’t rely on any other frame to build the framework. Because of its versatility, the black hole is a real security issue to be settled. It occurs once a malignant hub referred to as black hole goes into the framework. Black hole center point exhibits its fake lead among the methodology after all disclosure. Currently, varied strategies are made arrangements for Mobile ad-hoc networks. Regardless, at interims seeing Black hole or fake hubs, the entire Mobile ad-hoc frameworks are exposed to various sorts of assaults or network attacks. Among these issues, a black hole center points plugs itself of getting a most nearest targeted hub, whose data packet must be constrained to drop. In this flooding procedures, if the communication from the genuine hub accomplishes later than the fake hub reply as requested by the standard hub. A false communication path is framed through a fake center hub. A perfect method is one in which the package reach to target with less delay and lesser overhead. In this paper we'll talk about the implementation of Ant Colony Optimization Technique and Repetitive Route Configuration with Reactive Routing Protocol for obstruction of black hole Attack in Mobile ad-hoc networks.

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Section: Different Types Of Attacks Are Described As Followmentioning

confidence: 99%

Section: Gray Hole Attackmentioning

confidence: 99%

Section: Gray Hole Attackmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

See 2 more Smart Citations

Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

Khan

Aslam

Akhtar

et al. 2020

ITC

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“…MANET has to be organized in the rural or remote areas 16 . In these areas, it is difficult to replace the batteries, and so we have to keep the low energy consumption level at nodes to avoid the frequent replacement of batteries 17 . To enhance the life of mobile nodes, we have to utilize low power, and then we have to avoid the case for creating energy dissipation problems.…”

Section: Introductionmentioning

confidence: 99%

Identifying and detecting black hole and gray hole attack in MANET using gray wolf optimization

Vatambeti

Supriya²,

Sanshi

2020

Int J Communication

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SummaryMobile ad hoc networks (MANETs) become most vibrant and are widely used in various applications, including military, commercial sectors, and personal area networks. However, security is a major issue in routing; because of moving nodes, mainly it suffers from a black hole and gray hole attack. This kind of attack is difficult to predict and is harmful to the network. To address this problem, here, we introduce the gray wolf optimization (GWO) with trust setup data aggregation called gray wolf trust accumulation in wireless ad hoc network architecture. To maintain and enhance the security in routing, here, we update the trust setup data aggregation in GWO mechanism. After the detection of black hole and gray hole attack, we need to maintain the path stability for data transmission, trust schematic process monitor all the nodes, and maintain path stability. Using the behavior of GWO, we can detect the black hole and gray hole attack at a rate of 98.5% and also improve the packet delivery ratio by 98.2% with 10 m/s. Also, with the help of the trust setup data aggregation model, we can update our trust model and security maintenance. Thus, our proposed technique enhances the packet transmission in MANET and secures the routing layer.

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Dual‐channel capsule generation adversarial network based blockchain technology for a secured dynamic optimal routing in mobile ad hoc network

Vanitha

Anand²,

Radhamani³

et al. 2022

Trans Emerging Tel Tech

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Mobile ad hoc network (MANET) routing is allocated packets to the base station. It preserves the routing buttressing and the efficiency of MANET. None of effective approaches presented so far averting spiteful node occurrences. To overcome this issue, in this article, dual‐channel capsule generation adversarial network (DCCGAN) optimized with arithmetic optimization algorithm is proposed for blockchain based trusted distributed routing scheme in MANET (DCCGAN‐AOA‐BC‐MANET). The proposed approach offers the distributed trust module for routing nodes in MANETs that is proof‐of‐authority through blockchain. Here, the token is engendered for the packet stream admittances with the secret key transmitted to every routing mobile node, also it offers the optimum path for data transmission. The trusted distributed optimum routing information is distributed based upon proposed blockchain based MANET. The proposed approach is simulated utilizing NS‐3 tool. The performance metrics, such as delay performance, average delay, average latency, average energy consume, BC token transactions throughput. The simulation of proposed DCCGAN‐AOA‐BC‐MANET method provides 76.26%, 65.57%, 80.32%, and 42.9% lower transaction latency, 73.06%, 63.82%, 85.56%, and 38.84% lower energy consumption compared to the existing methods.

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Defense Against Co-Operative Black-hole Attack and Gray-hole Attack in MANET

Cited by 13 publications

References 21 publications

Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

Identifying and detecting black hole and gray hole attack in MANET using gray wolf optimization

Dual‐channel capsule generation adversarial network based blockchain technology for a secured dynamic optimal routing in mobile ad hoc network

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