| Type of Material: | Thesis |
| Title: | Identification of attacks on software defined network using machine learning approach |
| Researcher: | Ahuja, Nisha |
| Guide: | Badal, Tapas |
| Department: | School of Computer Science Engineering and Technology |
| Publisher: | Bennett University |
| Place: | Greater Noida |
| Year: | 2022 |
| Language: | English |
| Subject: | Computer Science | Computer Science Software Engineering | Engineering and Technology | Computer Science and Applications | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; School of Computer Science Engineering and Technology, Bennett University, Greater Noida; 2022 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-10-14 12:09:13 | |
| 008 | __ | 261014t2022||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_464156 |
| 040 | __ | |dIN-AhILN|aBENN_201310 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aAhuja, Nisha |
| 110 | __ | |aSchool of Computer Science Engineering and Technology|0U-0890|dGreater Noida|bBennett University|ein |
| 245 | __ | |aIdentification of attacks on software defined network using machine learning approach |
| 260 | __ | |aGreater Noida|c2022|bBennett University |
| 502 | __ | |bPhD|d2022|cSchool of Computer Science Engineering and Technology, Bennett University, Greater Noida |
| 518 | __ | |oDate of Award|d2022 |
| 518 | __ | |d2016|oDate of Registration |
| 518 | __ | |oDate of Completion|d2022 |
| 520 | __ | |aSDN is a communication technology defined by a software program that manages network traffic routing and configuration. In contrast, the current network architecture controls traffic by configuring the various network elements remotely. The SDN architecture is centralized in nature such that data plane and control plane within a networking device are segregated. The control plane can be thought of as the mind of the network whereas the data plane is adhering to the controller s decisions. Examples of SDN controllers include FloodLight, Ryu, Pox, Open- DayLight, Nox, etc. which are open source and incorporate a set of APIs for building network applications. Many researchers have worked on the detection of attacks and the categorizing of network traffic into benign and malicious categories. Existing DDOS attack detection research is based on threshold-based detection on the count of incomplete connections made, the number of queries made per user, traffic rate, and the total time of flow duration. Other techn |
| 650 | __ | |aComputer Science and Applications|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Software Engineering |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aBadal, Tapas|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/510509|yShodhganga |
| 905 | __ | |afromsg |
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