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.12 Issue.2

Submission
Last date
28-Apr-2026
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-12,Issue-2. 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: :  Hybrid Methodology for enhancing the potentiality of IDS
PaperId: :  2291
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2291
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vanita.M.KewlaniL.J Institute of Technology
Jay.AminL.J Institute of Technology

Abstract

Networking
Genetic Algorithm, Intrusion Detection System, KDD Cup 1999 Dataset, Neural Network
Nowadays, with the drastic progress in communications and networks, protection have turn out to be a primary subject for computer programs. An effective way to discover the unlawful customers is to keep monitoring these person’s packets. One-of- a-kind algorithms, ways and applications are created and applied to remedy the crisis of detecting the attacks in intrusion detection techniques. In this paper, we reward an intrusion detection model based on genetic algorithm and neural network. The key proposal is to take competencies of classification advantage of genetic algorithm and neural network for intrusion detection process. The new mannequin has capability to identify an attack, to distinguish one attack from other i.E. Classifying attack, and the importantly,low false negative. This strategy uses evolution idea to information evolution as a way to filter the traffic data and consequently cut down the complexity. To put into effect and measure the efficiency of this procedure. We used the KDD99 benchmark dataset and acquired cheap detection price.

Citations

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

IJARIIE Vanita.M.Kewlani, and Jay.Amin. "Hybrid Methodology for enhancing the potentiality of IDS" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 563-568
MLA Vanita.M.Kewlani, and Jay.Amin. "Hybrid Methodology for enhancing the potentiality of IDS." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 563-568.
APA Vanita.M.Kewlani, & Jay.Amin. (2016). Hybrid Methodology for enhancing the potentiality of IDS. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 563-568.
Chicago Vanita.M.Kewlani, and Jay.Amin. "Hybrid Methodology for enhancing the potentiality of IDS." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 563-568.
Oxford Vanita.M.Kewlani, and Jay.Amin. 'Hybrid Methodology for enhancing the potentiality of IDS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 563-568. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Hybrid_Methodology_for_enhancing_the__potentiality_of_IDS_ijariie2291.pdf (Accessed : ).
Harvard Vanita.M.Kewlani, and Jay.Amin. (2016) 'Hybrid Methodology for enhancing the potentiality of IDS', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 563-568IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Hybrid_Methodology_for_enhancing_the__potentiality_of_IDS_ijariie2291.pdf (Accessed : )
IEEE Vanita.M.Kewlani, and Jay.Amin, "Hybrid Methodology for enhancing the potentiality of IDS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 563-568, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Hybrid_Methodology_for_enhancing_the__potentiality_of_IDS_ijariie2291.pdf [Accessed : ].
Turabian Vanita.M.Kewlani, and Jay.Amin. "Hybrid Methodology for enhancing the potentiality of IDS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver Vanita.M.Kewlani, and Jay.Amin. Hybrid Methodology for enhancing the potentiality of IDS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 563-568. Available from: https://ijariie.com/AdminUploadPdf/Hybrid_Methodology_for_enhancing_the__potentiality_of_IDS_ijariie2291.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
Civica AI: A Politician-Centric Grievance Redressal and Service DirectoryComputer EngineeringKaranjule Dhanashri Bhausaheb Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G 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 © 2026. IJARIIE. All Rights Reserved.