| Type of Material: | Thesis |
| Title: | Improved intrusion detection system by deep learning strategies using nature inspired algorithms for optimal feature selection |
| Researcher: | Rao , Srinivasa Pokuri |
| Guide: | D Nagaraju |
| Department: | Department of Computer Science and Engineering |
| Publisher: | Acharya Nagarjuna University, Guntur |
| Place: | Guntur |
| Year: | 2023 |
| Language: | English |
| Subject: | Computer Science | Nature inspired algorithms | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur; 2023 |
| Fulltext: | Shodhganga |
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| 035 | __ | |a(IN-AhILN)th_454006 |
| 040 | __ | |aNGJN_522510|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aRao , Srinivasa Pokuri|eResearcher |
| 110 | __ | |aDepartment of Computer Science and Engineering|bAcharya Nagarjuna University, Guntur|dGuntur|ein |
| 245 | __ | |aImproved intrusion detection system by deep learning strategies using nature inspired algorithms for optimal feature selection |
| 260 | __ | |aGuntur|bAcharya Nagarjuna University, Guntur|c2023 |
| 502 | __ | |bPhD|d2023|cDepartment of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur |
| 518 | __ | |oDate of Notification|d2023-12-23 |
| 518 | __ | |oDate of Registration|d2014 |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aNature inspired algorithms |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aD Nagaraju|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/537908|yShodhganga |
| 905 | __ | |afromsg |
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