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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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | INTRUSION DETECTION SYSTEM |
| Authors Name: | Siddhant Chamoli , Aniruddha Kerur , Shantanu Wable , Atharva Karne |
| Download E-Certificate: | Download |
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IJRTI_204126
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| Published Paper Id: | IJRTI2505227 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | In today's digital landscape, securing networks and systems against unauthorized access is paramount. This project focuses on the development of an Intrusion Detection System (IDS) using Python, aimed at identifying potential threats and unusual activities within a network. The IDS leverages various machine learning algorithms to analyze network traffic and detect anomalies that may signify security breaches. Key Python libraries, such as Pandas for data manipulation and Scikit-Learn for implementing machine learning models, are utilized to process large datasets and accurately classify normal and intrusive patterns. The system is tested on benchmark datasets, and the performance is evaluated based on accuracy, detection rate, and false-positive rate. This project not only demonstrates the effectiveness of Python for cybersecurity applications but also highlights the IDS’s potential as a proactive tool for protecting organizational assets from cyber threats. |
| Keywords: | INTRUSION, DATA ANALYTICS, PYTHON, CYBER SECURITY |
| Cite Article: | "INTRUSION DETECTION SYSTEM", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c254-c263, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505227.pdf |
| Downloads: | 000406 |
| 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: IJRTI2505227
Registration ID:204126
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c254-c263 Country: Dombivali East, Maharastra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505227 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505227 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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