Type of Material: | Thesis |
Title: | Hybrid kernel based support vector machine classifiers and feature selection approaches for network intrusion detection |
Researcher: | Gaddam, Venu Gopal |
Guide: | G., Rama Mohan Babu |
Department: | Faculty of Engineering |
Publisher: | Acharya Nagarjuna University, Guntur |
Place: | Guntur |
Year: | 2022 |
Language: | English |
Subject: | Hybrid kernel | Vector machine | Classifiers | Network intrusion detection |
Dissertation/Thesis Note: | PhD |
000 | 00000ntm a2200000ua 4500 | |
001 | 445508 | |
003 | IN-AhILN | |
005 | 2022-12-07 14:37:15 | |
008 | __ | 221207t2022||||ii#||||g|m||||||||||eng|| |
035 | __ | |a(IN-AhILN)th_445508 |
040 | __ | |aNGJN_522510|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aGaddam, Venu Gopal|eResearcher |
110 | __ | |aFaculty of Engineering|bAcharya Nagarjuna University, Guntur|dGuntur |
245 | __ | |aHybrid kernel based support vector machine classifiers and feature selection approaches for network intrusion detection |
260 | __ | |aGuntur|bAcharya Nagarjuna University, Guntur|c2022 |
502 | __ | |bPhD |
653 | __ | |aHybrid kernel |
653 | __ | |aVector machine |
653 | __ | |aClassifiers |
653 | __ | |aNetwork intrusion detection |
700 | __ | |aG., Rama Mohan Babu|eGuide |
905 | __ | |anotification |
User Feedback Comes Under This section.