| Type of Material: | Thesis |
| Title: | An artificaial intelligence integrated framework and methodology for information security |
| Researcher: | Sharma, Madhavi |
| Guide: | Jain, S C | Jadon, R S |
| Department: | Computer Science and Engineering |
| Publisher: | Amity University Madhya Pradesh |
| Place: | Gwalior |
| Year: | 2020 |
| Language: | English |
| Subject: | Artifical Intelligence | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Computer Science and Engineering, Amity University Madhya Pradesh, Gwalior; 2020 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-09-07 17:33:36 | |
| 008 | __ | 260907t2020||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_462769 |
| 040 | __ | |dIN-AhILN|aAMIT_474020 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aSharma, Madhavi |
| 110 | __ | |aComputer Science and Engineering|0U-0604|dGwalior|bAmity University Madhya Pradesh|ein |
| 245 | __ | |aAn artificaial intelligence integrated framework and methodology for information security |
| 260 | __ | |aGwalior|c2020|bAmity University Madhya Pradesh |
| 300 | __ | |ci-xvii,170|dDVD |
| 502 | __ | |cComputer Science and Engineering, Amity University Madhya Pradesh, Gwalior|d2020|bPhD |
| 518 | __ | |oDate of Award|d2021 |
| 518 | __ | |d2014|oDate of Registration |
| 518 | __ | |oDate of Completion|d2020 |
| 520 | __ | |aIn computer network, the presence of any malicious node can have a major impact on the entire communication. There are several attacks like Blackhole attack, wormhole at-tack in which a genuine node behaves as malicious node and affects the performance of the network. There have been many researches for detecting the attacks in the network-ing system but regarding identifying and determining the behaviour of node in net-works, there are very few researches. Thus it is essential to determine the normal and malicious behaviour of the node. The motivation for undertaking this research was the deficiencies encountered in previ-ous researches on detection of malicious node intrusion. A malicious node violates the security principles and affects the network adversely thereby degrading the perfor-mance of the network.The training and testing time involved to build intrusion detec-tion model for malicious attacks is very high in most of the cases. The false alarm rate is also high in many studies. These deficiencie |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aArtifical Intelligence |
| 700 | __ | |aJain, S C|eGuide |
| 700 | __ | |aJadon, R S|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/343140|yShodhganga |
| 905 | __ | |afromsg |
User Feedback Comes Under This section.