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ACO based AODV Method for Detection and Recovery of Misbehaving Nodes

Β§ Periyar University

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ACO based AODV Method for Detection and Recovery of Misbehaving Nodes

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Abstract

Mobile ad-hoc networks (MANETs) can be described as a set of a huge variety of mobile nodes. MANET has the kind of applications such navy, disaster stuck regions and the characteristics of dynamic topology, no constant infrastructure, and many others. Nevertheless, there are a few protection issues and challenges in it. MANET is vulnerable to numerous attacks because of its open medium. As a result, there’s need to examine in detail about the way to discover malicious or misbehaving node present inside the network. Ant algorithm is a set of rules this is most appropriate to be carried out in MANET environments than other algorithms. It can discover a most effective route, independent, decentralized, rapid adaptation, and multiple routes. Due to this motive, we use ant algorithm to enhance the overall performance of the proposed comfortable protocol. in this paper, Ant-primarily based Misbehavior node detection approach is carried out with ad-hoc Ondemand Distance Vector (AODV) protocols and it figuring out the misbehavior node properly evaluate the parameters of packet delivery ratio, throughput and so on.

References

8 Cites in Article
  1. 1. Ahmed Farid Bin Beshr,Saeed Bin Ishaq,Tarek Aljabri,Sheltami (2016). A Guard Node (GN) based Technique against Misbehaving Nodes in MANET. Journal of Ubiquitous Systems & Pervasive Networks, 7(1), 13-17.
  2. 2. Chinthanai Chelvan,Prabakaran Sangeetha,D Saravanan (2014). EAACK-A Secure Intrusion Detection System for MANET. International Journal of Innovative Research in Computer and Communication Engineering, 2(4)
  3. 3. A Al-Roubaiey,T Sheltami,A Mahmoud,E Shakshuki,H Mouftah (2010). AACK: Adaptive Acknowledgment Intrusion Detection for MANET with Node Detection Enhancement. 2010 24th IEEE International Conference on Advanced Information Networking and Applications, 634-640.
  4. 4. P Sri,D Karthikeyan (2016). SELFISH NODE DETECTION IN PACKET ROUTING FOR MANET USING GLOBAL WATCHDOG. International Journal of Advance Engineering and Research Development, 4(07), 2.
  5. 5. Usha Sakthivel,S Radha (2011). Misbehaving Node Detection in Mobile Ad Hoc Networks using Multi Hop Acknowledgement Scheme. Journal of Computer Science, 7(5), 723-730.
  6. 6. Kashyap Balakrishnan,Jing Deng,Pramod Varshney TWOACK: Preventing Selfishness in Mobile Ad-Hoc Networks. TWOACK: Preventing Selfishness in Mobile Ad-Hoc Networks
  7. 7. Madhu Suganya,Priya (2013). Detecting Selfish Nodes in a MANET through Fragmentation in Distributed Environment. International Journal of Science, Engineering and Technology Research (IJSETR), 2(6)
  8. 8. Rasika Mali,Sudhir Bagade (2015). Techniques for Detection of Misbehaving Nodes in MANET: A Study. International Journal of Scientific & Engineering Research, 6(8)

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

M.Sumathi, Dr. M.Gunasekaran. 2018. "ACO based AODV Method for Detection and Recovery of Misbehaving Nodes". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 18 (GJCST Volume 18 Issue E1).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-E Classification C.2.1
C.2.m
Version of record
v1.2

Issue date
April 5, 2018

Language
English
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ACO based AODV Method for Detection and Recovery of Misbehaving Nodes

M.Sumathi
M.Sumathi Periyar University
Dr. M.Gunasekaran
Dr. M.Gunasekaran <p>Periyar University</p>