Type of Material: | Thesis |
Title: | A system for network based intrsion avoidance using dedicated machine learning and artificial intelligence based model for application and data safety |
Researcher: | H. Manjunath |
Guide: | Kumar, S. Saravana |
Publisher: | CMR University, Bangalore |
Place: | Bangalore |
Year: | 2024 |
Language: | English |
Subject: | Computer science Engineering | Computer Science and Information Technology | Engineering and Technology |
Dissertation/Thesis Note: | PhD; 2024; 19CPHDS010 |
000 | 00000ctm a2200000ua 4500 | |
001 | 455800 | |
003 | IN-AhILN | |
005 | 2024-10-01 15:11:43 | |
008 | __ | 241001t2024||||ii#||||g|m||||||||||eng|| |
035 | __ | |a(IN-AhILN)th_455800 |
040 | __ | |aCMRB_560043|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aH. Manjunath|eResearcher |
110 | __ | |bCMR University, Bangalore|dBangalore|ein|0U-0723 |
245 | __ | |aA system for network based intrsion avoidance using dedicated machine learning and artificial intelligence based model for application and data safety |
260 | __ | |aBangalore|bCMR University, Bangalore|c2024 |
502 | __ | |bPhD|d2024|o19CPHDS010 |
518 | __ | |oDate of Notification|d2024-08-10 |
518 | __ | |oDate of Viva-voce|d2024-08-09 |
650 | __ | |aComputer Science and Information Technology|2UGC |
650 | __ | |aEngineering and Technology|2AIU |
653 | __ | |aComputer science Engineering |
700 | __ | |eGuide|aKumar, S. Saravana |
905 | __ | |anotification |
User Feedback Comes Under This section.