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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 109
Article Submitted : 16130
Article Published : 7097
Total Authors : 19084
Total Reviewer : 688
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| Paper Title: | COMPARISON OF CLASSIFICATION TECHNIQUES ON INTRUSION DETECTION SYSTEM |
| Authors Name: | Sadhana Kodali , Boni Preetam Kakarla |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_182238
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| Published Paper Id: | IJRTI2207158 |
| Published In: | Volume 7 Issue 7, July-2022 |
| DOI: | |
| Abstract: | With the evolution of Wireless Communication, there are many security threats over the internet. The Intrusion Detection System (IDS) helps find different types of intrusion and can also detect intruders. This project is proposed to develop an IDS by using various classification techniques like Linear Support Vector Machine (LSVM), Quadratic Support Vector Machine (SVM), K-Nearest-Neighbor (KNN), Multi-Layer Perceptron (MLP), and Auto Encoder. All the results of every classification technique are compared in terms of accuracy. |
| Keywords: | Linear Support Vector Machine (LSVM), Quadratic Support Vector Machine (SVM), K-Nearest-Neighbor (KNN), Multi-Layer Perceptron (MLP), and Auto Encoder. |
| Cite Article: | "COMPARISON OF CLASSIFICATION TECHNIQUES ON INTRUSION DETECTION SYSTEM", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.1018 - 1022, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207158.pdf |
| Downloads: | 000204865 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2207158
Registration ID:182238
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 1018 - 1022 Country: jonnada, Andhra Pradesh, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207158 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207158 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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