Open Access   Article Go Back

Integration of Machine Learning Algorithm into IDS-ATiC-AODV (Improved Data Security - Avoid Time Complexity Ad-Hoc On-Demand Distance Vector) Routing Protocol

N. Kanimozhi1 , S. Hari Ganesh2 , B. Karthikeyan3

  1. Dept. of Computer Science, H.H The Rajah’s College, Pudukkotai – 622 001, India.
  2. Dept. of Computer Science, H.H The Rajah’s College, Pudukkotai – 622 001, India.
  3. Dept. of Computer Science, Bishop Heber College, Trichy – 620 017, India.

Section:Research Paper, Product Type: Journal Paper
Volume-12 , Issue-4 , Page no. 86-100, Apr-2024

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v12i4.86100

Online published on Apr 30, 2024

Copyright © N. Kanimozhi, S. Hari Ganesh, B. Karthikeyan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: N. Kanimozhi, S. Hari Ganesh, B. Karthikeyan, “Integration of Machine Learning Algorithm into IDS-ATiC-AODV (Improved Data Security - Avoid Time Complexity Ad-Hoc On-Demand Distance Vector) Routing Protocol,” International Journal of Computer Sciences and Engineering, Vol.12, Issue.4, pp.86-100, 2024.

MLA Style Citation: N. Kanimozhi, S. Hari Ganesh, B. Karthikeyan "Integration of Machine Learning Algorithm into IDS-ATiC-AODV (Improved Data Security - Avoid Time Complexity Ad-Hoc On-Demand Distance Vector) Routing Protocol." International Journal of Computer Sciences and Engineering 12.4 (2024): 86-100.

APA Style Citation: N. Kanimozhi, S. Hari Ganesh, B. Karthikeyan, (2024). Integration of Machine Learning Algorithm into IDS-ATiC-AODV (Improved Data Security - Avoid Time Complexity Ad-Hoc On-Demand Distance Vector) Routing Protocol. International Journal of Computer Sciences and Engineering, 12(4), 86-100.

BibTex Style Citation:
@article{Kanimozhi_2024,
author = {N. Kanimozhi, S. Hari Ganesh, B. Karthikeyan},
title = {Integration of Machine Learning Algorithm into IDS-ATiC-AODV (Improved Data Security - Avoid Time Complexity Ad-Hoc On-Demand Distance Vector) Routing Protocol},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2024},
volume = {12},
Issue = {4},
month = {4},
year = {2024},
issn = {2347-2693},
pages = {86-100},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5684},
doi = {https://doi.org/10.26438/ijcse/v12i4.86100}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v12i4.86100}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5684
TI - Integration of Machine Learning Algorithm into IDS-ATiC-AODV (Improved Data Security - Avoid Time Complexity Ad-Hoc On-Demand Distance Vector) Routing Protocol
T2 - International Journal of Computer Sciences and Engineering
AU - N. Kanimozhi, S. Hari Ganesh, B. Karthikeyan
PY - 2024
DA - 2024/04/30
PB - IJCSE, Indore, INDIA
SP - 86-100
IS - 4
VL - 12
SN - 2347-2693
ER -

VIEWS PDF XML
53 69 downloads 21 downloads
  
  
           

Abstract

The Mobile Ad-Hoc Network presents a remarkable infrastructure-free approach for information exchange between source and destination utilizing intermediate nodes. It offers robust security features and tackles time complexity through its routing protocols. In the author`s prior research, solutions were proposed for approximately eight qualitative and quantitative Quality of Service (QoS) metrics, along with a reduction in solution algorithm execution time. These solutions were automated using Machine Learning (ML) algorithms, leveraging a dataset named Infra-Less KMS and an optimal algorithm, Support Vector Machine (SVM) & Gaussian mixture model (GMM) identified in previous works. In this study, the IDS-ATiC AODV Solution algorithm will be implemented using SVM, with a focus on evaluating prediction accuracy.

Key-Words / Index Term

Security and Time Complexity, QoS, SVM, GMM, Prediction Accuracy

References

[1] N. Kanimozhi, S. Hari Ganesh 2, B. Karthikeyan, "An Analysis of Machine Learning Solution for QoS and QoE in Network (Infrastructure Oriented and Less)", International Journal of Computer Sciences and Engineering, May, Vol.11, Issue.5, pp.41-59, 2023. ISSN: 2347-2693 (Online)
[2] N. Kanimozhi, S. Hari Ganesh 2, B. Karthikeyan, “Performance Analysis of MANET Routing Protocols”, International Journal of Computer Applications (0975 – 8887) December, Vol.185, No. 50, pp-44-50, 2023.
[3] N. Kanimozhi, S. Hari Ganesh 2, B. Karthikeyan, "Irregularity Behaviour Detection - Ad-hoc On-Demand Distance Vector Routing Protocol (IBD - AODV): A Novel Method for Determining Unusual Behaviour in Mobile Ad-hoc Networks (MANET)", International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 September, Vol.11 Issue: 9, pp.1098-1010, 2023.
[4] N. Kanimozhi, S. Hari Ganesh 2, B. Karthikeyan, "Minimizing End-To-End Time Delay in Mobile Ad-Hoc Network using Improved Grey Wolf Optimization Based Ad-Hoc On-demand Distance Vector Protocol (IGWO-AODV)", International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169, September, Vol.11, Issue:9, pp.1111-1115, 2023.
[5] B.Karthikeyan, N. Kanimozhi and Dr.S.Hari Ganesh, “Analysis of Reactive AODV Routing Protocol for MANET”, IEEE Xplore (978-1-4799-2876-7), Oct, pp. 264-267, 2014.
[6] B.Karthikeyan, N. Kanimozhi and Dr.S.Hari Ganesh, “Security and Time Complexity in AODV Routing Protocol”, International Journal of Applied Engineering Research (ISSN:0973-4562), Vol. 10, No.20,June 2015, pp.15542- 155546. – Scopus Indexed.
[7] B. Karthikeyan, Dr.S.Hari Ganesh and N. Kanimozhi, “Encrypt - Security Improved Ad Hoc On Demand Distance Vector Routing Protocol (En-SIm AODV)”, ARPN Journal of Engineering and Applied Sciences (ISSN: 1819-6608), Vol. 11, No. 2, January, pp.1092-1096, 2016.
[8] B. Karthikeyan,Dr.S.Hari Ganesh and Dr. JG.R. Sathiaseelan, “ Optimal Time Bound Ad-Hoc On-demand Distance Vector Routing Protocol (OpTiB-AODV)”, International Journal of Computer Applications (ISSN:0975 – 8887), April, Vol.140, No.6, pp 7-11, 2016.
[9] B. Karthikeyan, Dr.S.Hari Ganesh, Dr. JG.R. Sathiaseelan and N. Kanimozhi , “High Level Security with Optimal Time Bound Ad-Hoc On-demand Distance Vector Routing Protocol (HiLeSec-OpTiB AODV)”,International Journal of Computer Science Engineering(E-ISSN: 2347-2693), April, Vol.4, No.4, pp.156-164, 2016.
[10] Jhansi Rani Kaka and K. Satya Prasad, “Differential Evolution and Multiclass Support Vector Machine for Alzheimer’s Classification”, Hindawi, Security and Communication Networks, Vol.2022, Article ID 7275433, 13 pages.
[11] Khalid Abualsaud, Elias Yaacoub, Maazen Alsabaan and Mohsen Guizani, “Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation” Sensors, 23, 9033, 2023. https:// doi.org/10.3390/s23229033.
[12] Ceren Atik, Recep Alp Kut, Reyat Yilmaz, and Derya Birant, "Support Vector Machine Chains with a Novel Tournament Voting", Electronics, 12, 2485, 2023. https://doi.org/10.3390/electronics12112485.
[13] Zhi Quan and Luoxi Pu, "An improved accurate classification method for online education resources based on support vector machine(SVM): Algorithm and experiment" Education and Information Technologies, 28: pp.8097–8111, 2023.
[14] Siva Rajesh Kasa & Vaibhav Rajan, "Avoiding inferior clusterings with misspecified Gaussian mixture models", 2 Vol:.(1234567890)Scientific Reports | (2023) 13:19164 | https://doi.org/10.1038/s41598-023-44608-3 www.nature.com/scientificreports/
[15] Abdullahi Abubakar Mas’ud, Arunachalam Sundaram, Jorge Alfredo Ardila-Rey, Roger Schurch, Firdaus Muhammad-Sukki and Nurul Aini Bani, "Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin", Sensors 2021, 21, 2562. https://doi.org/10.3390/s21072562