Mitigate Black Hole Attack Using Hybrid Bee Optimized Weighted Trust with 2-Opt AODV in MANET

Keerthika, V.; Malarvizhi, N.

doi:10.1007/s11277-019-06182-8

Cited by 21 publications

(18 citation statements)

References 9 publications

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“…Fig.9 depicts the graph of the proposed approach and the previous techniques viz. [4], [10], [11] and [12]. It is seen that the average value of PDR is 0.94, which is of the proposed approach.…”

Section: B Comparative Analysis Of the Proposed Approach With Convenmentioning

confidence: 73%

“…It is seen that the average value of PDR is 0.94, which is of the proposed approach. While contrast of proposed work with the [4], 4.2% improvement has been noticed in proposed work, 2.1%effectiveness has been noticed in proposed work while comparing it with [10], 3.1% efficacy has been drawn of proposed mechanism while comparing it with [11] and 5.31% efficiency has been addressed while comparing the proposed work with [12].…”

Section: B Comparative Analysis Of the Proposed Approach With Convenmentioning

confidence: 80%

“…The delay has been increased as the sensor nodes incremented by 20. The average value of the delay for the proposed work is 11.51 and that of conventional approach, it is 38 for [11] and 12.82 for [15]. Thus, delay has been improved by for the proposed work in contrary to conventional technique [11] and 10% for [14].…”

Section: Fig5 End To End Delay Computationmentioning

confidence: 93%

“…The optimization algorithm Artificial Bee Colony (ABC) has been used to enhance the results but still, this approach lacks the classification algorithm. The fitness function used in the optimization algorithms generate new solutions but the classification of these solutions becomes hard [11]. But, the fuzzy-based systems provide secure multicast routing using the authentication scheme.…”

Section: Related Workmentioning

confidence: 99%

“…When the data transfer is initialized, the network may suffer intra or inter security threat [11]. The proposed model has considered two different attacks namely black hole and SDN.…”

Section: B the Threat Modelling And Preventionmentioning

confidence: 99%

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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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Section: B Comparative Analysis Of the Proposed Approach With Convenmentioning

confidence: 73%

Section: B Comparative Analysis Of the Proposed Approach With Convenmentioning

confidence: 80%

Section: Fig5 End To End Delay Computationmentioning

confidence: 93%

Section: Related Workmentioning

confidence: 99%

“…When the data transfer is initialized, the network may suffer intra or inter security threat [11]. The proposed model has considered two different attacks namely black hole and SDN.…”

Section: B the Threat Modelling And Preventionmentioning

confidence: 99%

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

Mahapatra¹,

Singh²

2019

IJITEE

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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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An Effective Scheme to Mitigate Blackhole Attack in Mobile Ad Hoc Networks

Shukla

Joshi²

2022

Lecture Notes in Electrical Engineering

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Mitigate Black Hole Attack Using Hybrid Bee Optimized Weighted Trust with 2-Opt AODV in MANET

Cited by 21 publications

References 9 publications

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

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

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

An Effective Scheme to Mitigate Blackhole Attack in Mobile Ad Hoc Networks

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