Journal ArticleUnknown
Phishing Attacks Detection using Deep Learning Approach
Authors
Author Affiliations
University of Science and Technology Chittagong, Rangamati Science and Technology University, University of Dhaka, East Delta University
Published In2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT)
Year2020
Citations89
Abstract
In the COVID-19 pandemic, people are enforced to adopt ‘work from home’ policy. The Internet has become an effective channel for social interactions nowadays. Peoples' immense dependence on digital platform opens doors for fraud. Phishing is a type of cybercrime to steal users' credentials from online platforms such as online banking, online business, e-commerce, online classroom, digital marketplaces, etc. Phishers develop fake webpages alike the original one and send spam emails to hook the users. Phishers seize users' credentials when an online user visits the counterfeit webpages through the spams. Researchers have introduced enormous tools like blacklist, white-list, and antivirus software to detect phishing webpages. Attackers always devise creative ways to exploit human and network weakness to penetrate cyber defense.…
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