Manuscript Details - IJARW1266

ManuScript Details
Paper Id: IJARW1266
Title: ANALYSIS OF IMPLEMENTING NETWORK INTRUSION DETECTION ALGORITHMS USING MACHINE LEARNING
Published in: International Journal Of All Research Writings
Publisher: IJARW
ISSN: 2582-1008
Volume / Issue: Volume 1 Issue 12
Pages: 8
Published On: 6/1/2020 9:37:40 PM      (MM/dd/yyyy)
Main Author Details
Name: Rupali Lalaji Naukarkar
Institute: Priyadarshini Bhagwati College of Engg., Nagpur
Co - Author Details
Author Name Author Institute
Prof. K. N. Hande Priyadarshini Bhagwati College of Engg., Nagpur
Abstract
Research Area: Computer Science & Engineering
KeyWord: Network security , intrusion detection system , KDD dataset , network attack , machine learning
Abstract: Although advanced Machine Learning (ML) techniques have been adopted for detecting intruders, the attack remains a major Internet threat. The main objective of this project is to identify or detect attacks that have occurred on the network. Now the growth of social media will increase day by day. However, it is difficult to detect attacks. This project will dynamically identify the attack by analyzing information from the KDDCUP dataset.The naive bay classification algorithm is used to classify the data presented on the network.
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IEEE
Rupali Lalaji Naukarkar, Prof. K. N. Hande, "ANALYSIS OF IMPLEMENTING NETWORK INTRUSION DETECTION ALGORITHMS USING MACHINE LEARNING", International Journal Of All Research Writings, vol. 1, no. 12, pp. 15-22, 2020.
MLA Rupali Lalaji Naukarkar, Prof. K. N. Hande "ANALYSIS OF IMPLEMENTING NETWORK INTRUSION DETECTION ALGORITHMS USING MACHINE LEARNING." International Journal Of All Research Writings, vol 1, no. 12, 2020, pp. 15-22.
APA Rupali Lalaji Naukarkar, Prof. K. N. Hande (2020). ANALYSIS OF IMPLEMENTING NETWORK INTRUSION DETECTION ALGORITHMS USING MACHINE LEARNING. International Journal Of All Research Writings, 1(12), 15-22.
ANALYSIS OF IMPLEMENTING NETWORK INTRUSION DETECTION ALGORITHMS USING MACHINE LEARNING
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ANALYSIS OF IMPLEMENTING NETWORK INTRUSION DETECTION ALGORITHMS USING MACHINE LEARNING

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