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Malicious/phishing Website Detection
Malicious websites in general, and phishing websites in particular, attempt to mimic legitimate websites to trick users into trusting them. The goal of the project is to develop algorithms for detecting these malicious websites in two contexts:
• detecting if a site visited by a user is a malicious site
• detecting malicious sites that mimic legitimate sites
Faculty Supervisor:
Xiaodong Lin
Student:
Partner:
Arctic Wolf Networks
Discipline:
Computer science
Sector:
Information and cultural industries; Professional, scientific and technical services
University:
University of Guelph
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.