| Type of Material: | Thesis |
| Title: | A rule based approach for enhanced intrusion detection system using machine learning techniques |
| Researcher: | Akbar, Shaik |
| Guide: | Anand Chandulal, J and Rao |
| Publisher: | GITAM University |
| Place: | Visakhapatnam |
| Language: | English |
| Dissertation/Thesis Note: | PhD |
| Fulltext: | Shodhganga |
| 000 | 00000ntm a2200000ua 4500 | |
| 001 | 374507 | |
| 003 | IN-AhILN | |
| 005 | 2018-08-14 08:19:40 | |
| 008 | __ | 180814t####||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_374507 |
| 040 | __ | |aGITA_530045|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aAkbar, Shaik|eResearcher |
| 245 | __ | |aA rule based approach for enhanced intrusion detection system using machine learning techniques |
| 260 | __ | |aVisakhapatnam|bGITAM University |
| 502 | __ | |bPhD |
| 700 | __ | |aAnand Chandulal, J and Rao|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/134619|yShodhganga |
| 905 | __ | |anotification |
User Feedback Comes Under This section.