Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  A study of Intrusion Discovery Method Using Genetic Neural Network
PaperId: :  17951
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 4 2019
DUI:    16.0415/IJARIIE-17951
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Brajendra Pratap SinghResearch Scholar, Mewar University, Gangarar Chittorgarh, Rajasthan
Dr. Brij BhusanProfessor, Mewar University, Gangarar, Chittorgarh, Rajasthan

Abstract

COMPUTER SCIENCE
Intrusion, detection method, behavior, Wireless Adhoc Networks, Genetic Neural Network.
An Intrusion detection method is broadly classified as Anomaly based and Rule based detection methods. Anomaly based systems look for strange system behavior by observing the deviation from a baseline of normal behavior. Hence the anomaly based system has to be trained for the normal behavior. The training results in an ‘activity profile’ which represents the normal usage for a particular user over definite period of time. This acts as the baseline for the anomaly based IDS and any event that deviates from this baseline is reported as anomalous. Statistics based anomaly detection is best suited for Wireless Adhoc Networks. On other hand rule based IDS looks for a malicious event based on the rule set that is already available and customized. Wireless ad-hoc networks are increasingly being used in the tactical battlefield, emergency search and rescue missions, as well as civilian ad-hoc situations like conferences and classrooms due to the ease and speed in setting up such networks. As wireless ad-hoc networks have different characteristics from a wired network, the intrusion detection techniques used for wired networks may no longer be sufficient and effective when adapted directly to a wireless ad-hoc network. Existing methods of intrusion detection have to be modified and new methods have to be defined in order for intrusion detection to work effectively in this new network architecture. In this paper, we will first provide an introduction to wireless ad-hoc networks and thereafter an introduction to intrusion detection. We will then present various existing intrusion detection techniques that can be adapted to wireless ad-hoc networks and finally propose a hybrid intrusion detection system for wireless ad-hoc networks.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Brajendra Pratap Singh, and Dr. Brij Bhusan. "A study of Intrusion Discovery Method Using Genetic Neural Network" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 4 2019 Page 1727-1733
MLA Brajendra Pratap Singh, and Dr. Brij Bhusan. "A study of Intrusion Discovery Method Using Genetic Neural Network." International Journal Of Advance Research And Innovative Ideas In Education 5.4(2019) : 1727-1733.
APA Brajendra Pratap Singh, & Dr. Brij Bhusan. (2019). A study of Intrusion Discovery Method Using Genetic Neural Network. International Journal Of Advance Research And Innovative Ideas In Education, 5(4), 1727-1733.
Chicago Brajendra Pratap Singh, and Dr. Brij Bhusan. "A study of Intrusion Discovery Method Using Genetic Neural Network." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 4 (2019) : 1727-1733.
Oxford Brajendra Pratap Singh, and Dr. Brij Bhusan. 'A study of Intrusion Discovery Method Using Genetic Neural Network', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 4, 2019, p. 1727-1733. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_study_of_Intrusion_Discovery_Method_Using_Genetic_Neural_Network_ijariie17951.pdf (Accessed : ).
Harvard Brajendra Pratap Singh, and Dr. Brij Bhusan. (2019) 'A study of Intrusion Discovery Method Using Genetic Neural Network', International Journal Of Advance Research And Innovative Ideas In Education, 5(4), pp. 1727-1733IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_study_of_Intrusion_Discovery_Method_Using_Genetic_Neural_Network_ijariie17951.pdf (Accessed : )
IEEE Brajendra Pratap Singh, and Dr. Brij Bhusan, "A study of Intrusion Discovery Method Using Genetic Neural Network," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 4, pp. 1727-1733, Jul-Aug 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_study_of_Intrusion_Discovery_Method_Using_Genetic_Neural_Network_ijariie17951.pdf [Accessed : ].
Turabian Brajendra Pratap Singh, and Dr. Brij Bhusan. "A study of Intrusion Discovery Method Using Genetic Neural Network." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 4 ().
Vancouver Brajendra Pratap Singh, and Dr. Brij Bhusan. A study of Intrusion Discovery Method Using Genetic Neural Network. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : ]; 5(4) : 1727-1733. Available from: https://ijariie.com/AdminUploadPdf/A_study_of_Intrusion_Discovery_Method_Using_Genetic_Neural_Network_ijariie17951.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.