Title : A comprehensive study of feature selection for IDS using Machine learning Approaches

Type of Material: Thesis
Title: A comprehensive study of feature selection for IDS using Machine learning Approaches
Researcher: Pendem Suresh Kumar GV
Guide: Akthar, Shaheda
Department: Department of Computer Science and Engineering
Publisher: Acharya Nagarjuna University, Guntur
Place: Guntur
Year: 2023
Language: English
Subject: IDS using Machine learning Approaches
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur; 2023

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035__|a(IN-AhILN)th_453391
040__|aNGJN_522510|dIN-AhILN
041__|aeng
100__|aPendem Suresh Kumar GV|eResearcher
110__|aDepartment of Computer Science and Engineering|bAcharya Nagarjuna University, Guntur|dGuntur|ein|0U-0003
245__|aA comprehensive study of feature selection for IDS using Machine learning Approaches
260__|bAcharya Nagarjuna University, Guntur|c2023|aGuntur
502__|bPhD|cDepartment of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur|d2023
518__|oDate of Notification|d2023-06-02
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aIDS using Machine learning Approaches
700__|aAkthar, Shaheda|eGuide
905__|anotification

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