Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/482708
| Title: | Machine Learning Techniques for Detecting Malicious Activities in the Network |
| Researcher: | Chapaneri Radhika |
| Guide(s): | Shah Seema |
| Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic Malicious network tranc, Anomaly detection, Gaussian mixture model, Multi- level classifcation, GAN, Wasserstein distance, Regularization, Imbalanced classifcation, Convolutional neural network |
| University: | Narsee Monjee Institute of Management Studies |
| Completed Date: | 2022 |
| Pagination: | i-xix;153 |
| URI: | http://hdl.handle.net/10603/482708 |
| Appears in Departments: | Department of Electronic Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 170.03 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 1.94 MB | Adobe PDF | View/Open | |
| 03_content.pdf | 72.53 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 77.4 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 406.97 kB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 313.02 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 843.26 kB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 1.01 MB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 2.59 MB | Adobe PDF | View/Open | |
| 10_chapter 6.pdf | 971.19 kB | Adobe PDF | View/Open | |
| 11_annexures.pdf | 518.38 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 94.14 kB | Adobe PDF | View/Open |
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