ESMBCRT: Enhance Security to MANETs Against Black Hole Attack Using MCR Technique

Mohammad, Shaik Noor; Singh, Ramveer; Dey, Abhijit; Ahmad, Syed Jalal

doi:10.1007/978-981-10-8204-7_32

Cited by 15 publications

(10 citation statements)

References 8 publications

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“…In this type of attack, a node simulate itself as the shortest path of network and collect all the data that were sent to original node. By sending the fake replies it can at as spy node and can create the denial of service attack [27]. Black Hole Attack can be distributed into two types of attacks (i) Single hub attack, in which a single node starts dropping the packet; (ii) Multiple hubs becomes the malicious nodes and starts to drop the data packets known as Gray Hole attack.…”

Section: Related Workmentioning

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: Related Workmentioning

confidence: 99%

“…By attacking, the attacker can use any hub, to make it a malicious hub, this malicious hub can spy the data and send it to the attacker and stop sending the packets towards its destination path [2]. Numerous systems are proposed to stay away from and recognize the Black Hole Attack [27]. For…”

Section: Related Workmentioning

confidence: 99%

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

Khan

Aslam

Akhtar

et al. 2020

ITC

View full text Add to dashboard Cite

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“…There is already enough research regarding black hole attack using AODV protocol [4,5]. But still, preventing algorithms are developed using the defined protocol and different techniques were implemented to determine the black hole attack [6,7]. Some researchers focussed on detecting and mitigating the wormhole attack while transmitting and propagating the data [8].…”

Section: Literature Surveymentioning

confidence: 99%

Trust Management Based Improved Mechanism to Prevent MANET from Security Threats using Optimized SVM

Walia¹,

Malhotra²

2019

IJITEE

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A temporal network creates various issues which are managed by nodes, communicating with the base station. The flow of packets with different routes usually attacked by malicious nodes, such an attack is also termed as black hole attack. A novel FSAODV mechanism is proposed in this paper to prevent the information from malicious nodes by following the Ad-hoc on demand distance vector (AODV) protocol. The detection of threats due to the black hole and route enhancement is implemented using the bio-inspired algorithms. Firefly algorithm and Support Vector Machine (SVM) algorithms are developed to determine the throughput, Packet Delivery Ratio (PDR), and TDR. A comparative analysis has been done to portray the success rate of proposed work. For the comparison, research works of Ashok Koujalagi and Rushdi A. Hamamreh are considered. 33.33% enhancement has been noted in throughput with Ashok Koujalagi and74.44% with Rushdi A. Hamamreh. 21.4% enhancement has been seen in PDR with Ashok Koujalagi and 91.71% with Rushdi A. Hamamreh.

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“…S. N. Mohammad et. alhas used the Micr technique to enhance the security level [9]. The network has been secured from the black hole attack using a key distribution system, which provides improved security level to the MANET.…”

Section: Related Workmentioning

confidence: 99%

An optimal Security Mechanism to Preventmulti-threat in MANET using Bee Algorithm

Mahapatra¹,

Singh²

2019

IJITEE

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The special characteristics of the Mobile and Ad hoc network (MANET) attract the users to access the services provided by the network. But, accessing these services such as high mobility also creates an issue of unstable routing which leads to packet dropping. To address this issue, the packet dump situation is considered in this document under normal and distortion mode. This paper also focused on black hole attack (BHA) and selective packet drop attack (SPDA) and has a threat prevention mechanism has been proposed. The whole paper is divided into three frames namely employing deployment model, the importance of intrusion and its prevention, and registration of new node through interpolation named as Chebyshev method. The prevention structure has been modeled using swarm and machine intelligence. In addition, the affected route has been detected using the Artificial Bee Colony (ABC) inspired Optimal Bee Behaviour (OBB) algorithm. The different parameters, such as, Delay, energy consumption,Throughput and Packet Delivery Ratio (PDR) are computed. The proposed work consumes less energy as the developed architecture compared with sate of art techniques which states that energy consumption revamped by 12%. The delay rate has been ameliorated by 69% and 10% in contrary to past studies. The proposed prevention structure provides 1.8% improvement for throughput in comparison to without prevention architecture. However, proposed model provides 0.94 PDR using the polynomial kernel in comparison to state of art techniques. The comparative analysis has been performed with the existing work and outperformance has been noticed in terms of QoS.

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ESMBCRT: Enhance Security to MANETs Against Black Hole Attack Using MCR Technique

Cited by 15 publications

References 8 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

Trust Management Based Improved Mechanism to Prevent MANET from Security Threats using Optimized SVM

An optimal Security Mechanism to Preventmulti-threat in MANET using Bee Algorithm

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