Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.14146/10430
Title: | Machine Learning Techniques for Detecting Malicious Activities in the Network |
Researcher: | Chapaneri Radhika |
Guide(s): | Shah Seema |
University: | Narsee Monjee Institute of Management Studies |
Registration Date: | 16-11-2018 |
Abstract: | There is a significant increase in malicious traffic over the network in recent years due to newlinethe increase in connectivity over the network between end-users. Various vulnerabilities newlineexist in network infrastructure and protocols that are exploited by attackers resulting in newlinedisruption of businesses of organizations as well as individual users. Although the methods newlinebased on signatures can detect malicious traffic, such methods fail to detect unknown newlineattacks or even variants of known attacks. |
URI: | http://hdl.handle.net/20.500.14146/10430 |
Appears in Departments: | Department of Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
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synopsis_radhika chapaneri mpstme.pdf | Attached File | 2.86 MB | Adobe PDF | View/Open |
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