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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Implementation and Comparison of various ML and Deep Learning Techniques for Network Intrusion Detection System |
| Authors Name: | Shreevatsa T P , Radhika K R |
| Unique Id: | IJSDR2209133 |
| Published In: | Volume 7 Issue 9, September-2022 |
| Abstract: | With the advent of internet to almost every walk of contemporary life, the need for internet security is ever increasing. The threat to the system can be a Denial-of-Service attack or a Worm attack or a Fuzzers attack and causing the integrity of the system to collapse or to compromise. Thus, to monitor the system network, Intrusion Detection System are extensively used in the cybersecurity domain. In order to detect attacks and subsequently thwart such future attacks, the project uses Machine Learning and Deep Learning algorithms to find and detect such attacks. The project is built on UNSW-NB15 (modern substitute to the well-known KDD99 Dataset) to analyze and classify normal and abnormal packets. The paper also sheds some light on few Machine Learning and Deep Learning Algorithms and makes a comparative study on them. |
| Keywords: | Machine Learning Algorithms, Deep Learning, Intrusion Detection System |
| Cite Article: | "Implementation and Comparison of various ML and Deep Learning Techniques for Network Intrusion Detection System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 9, page no.833 - 838, September-2022, Available :http://www.ijsdr.org/papers/IJSDR2209133.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR2209133 Registration ID:201529 Published In: Volume 7 Issue 9, September-2022 DOI (Digital Object Identifier): Page No: 833 - 838 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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