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 COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS
PaperId: :  14006
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 2 2021
DUI:    16.0415/IJARIIE-14006
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
R.Vijay SaiK S Rangasamy College of Technology
E.DevaprathishK S Rangasamy College of Technology

Abstract

Computer Science and Engineering
:Machine Learning , Identify to detect whether the user is normal user or anormal user .
With the event of the net, cyber-attacks area unit ever-changing chop-chop and also the cyber security state of affairs isn't optimistic. Machine Learning (ML) and Deep Learning (DL) strategies for network analysis of intrusion detection and provides a quick tutorial description of every ML/DL technique. Paper representing every technique were indexed, read, and summarized supported their temporal or thermal correlations. as a result of knowledge area unit therefore vital in ML/DL strategies, they describe a number of the normally used network datasets utilized in ML/DL, discuss the challenges of victimisation ML/DL for cyber security and supply suggestions for analysis directions. The KDD knowledge set may be a well-known benchmark within the analysis of Intrusion Detection techniques. loads of labor goes on for the development of intrusion detection methods whereas the analysis on {the knowledge the info the information} used for coaching and testing the detection model is equally of prime concern as a result of higher data quality will improve offline intrusion detection. This project presents the analysis of KDD knowledge set with relevance four categories that area unit Basic, Content, Traffic and Host during which all knowledge attributes may be classified victimization changed RANDOM FOREST(MRF). The analysis is finished with relevance 2 distinguished analysis metrics, Detection Rate (DR) And warning Rate (FAR) for an Intrusion Detection System (IDS).

Citations

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

IJARIIE R.Vijay Sai, and E.Devaprathish. "A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 2 2021 Page 1284-1287
MLA R.Vijay Sai, and E.Devaprathish. "A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS." International Journal Of Advance Research And Innovative Ideas In Education 7.2(2021) : 1284-1287.
APA R.Vijay Sai, & E.Devaprathish. (2021). A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS. International Journal Of Advance Research And Innovative Ideas In Education, 7(2), 1284-1287.
Chicago R.Vijay Sai, and E.Devaprathish. "A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 2 (2021) : 1284-1287.
Oxford R.Vijay Sai, and E.Devaprathish. 'A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, 2021, p. 1284-1287. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_COMPREHENSIVE_DATA_SET_FOR_NETWORK_INTRUSION_DETECTION_SYSTEMS_ijariie14006.pdf (Accessed : 27 April 2022).
Harvard R.Vijay Sai, and E.Devaprathish. (2021) 'A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS', International Journal Of Advance Research And Innovative Ideas In Education, 7(2), pp. 1284-1287IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_COMPREHENSIVE_DATA_SET_FOR_NETWORK_INTRUSION_DETECTION_SYSTEMS_ijariie14006.pdf (Accessed : 27 April 2022)
IEEE R.Vijay Sai, and E.Devaprathish, "A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, pp. 1284-1287, Mar-App 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_COMPREHENSIVE_DATA_SET_FOR_NETWORK_INTRUSION_DETECTION_SYSTEMS_ijariie14006.pdf [Accessed : 27 April 2022].
Turabian R.Vijay Sai, and E.Devaprathish. "A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 2 (27 April 2022).
Vancouver R.Vijay Sai, and E.Devaprathish. A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 27 April 2022]; 7(2) : 1284-1287. Available from: https://ijariie.com/AdminUploadPdf/A_COMPREHENSIVE_DATA_SET_FOR_NETWORK_INTRUSION_DETECTION_SYSTEMS_ijariie14006.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 4/27/2022 8:55:34 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
PREDICTING GENETIC VARIANTS PATHOGENECITYComputer EngineeringSyed Arbeena Kausar Download
ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGS. Saiful Islam Download
IMPROVING HEALTHCARE PREDICTION OF DIABETIC PATIENTS USING KNN IMPUTED FEATURES AND TRI-ENSEMBLE MODELCOMPUTER SCIENCE AND ENGINEERINGS. Mahammad Arif Download
MONEY LAUNDERING DETECTION USING MACHINE LEARNING METHODSCOMPUTER SCIENCE AND ENGINEERINGY B. Shashank Raj Download
LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEMCOMPUTER SCIENCE AND ENGINEERINGV. Kumar Download
Real-Time Heart Disease Prediction Using Machine LearningCOMPUTER SCIENCE AND ENGINEERINGP. Sri Pavan Hari Charan Download
HAND AND FACE LANDMARKS DETECTION USING MEDIA PIPE AND AICOMPUTER SCIENCE AND ENGINEERINGK. V. Bharath Kumar Download
VEHICLES SPEED DETECTION SYSTEM USING OPENCVCOMPUTER SCIENCE AND ENGINEERINGS. Santosh Download
SUSPICIOUS HUMAN ACTIVITY RECOGNITION FROM SURVEILLANCE VIDEOS USING DEEP LEARNINGCOMPUTER SCIENCE AND ENGINEERINGM. Lakshmi kanth Download
DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCHCOMPUTER SCIENCE AND ENGINEERINGP. Shamiulla Download
Events Recommendation SystemComputer Science and EngineeringDharsana S Download
Online Attendance Using Web ApplicationComputer EngineeringMrs. P. Saranya Download
Automated Pneumonia Detection Using ResNet50 Deep Learning ModelDepartment of Computer Science & Engineering, D.Y.Patil Technical Campus, Shivaji University, KolhapurSohan Sanjay Kamalakar Download
MULTI-DISEASE DETECTION USING MACHINE LEARNINGComputer EngineeringNamithadevi N N Download
NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGD VYSHNAVI 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.