作者
Yazan Ahmad Alsariera, Victor Elijah Adeyemo, Abdullateef Oluwagbemiga Balogun, Ammar Kareem Alazzawi
发表日期
2020/8/3
期刊
IEEE access
卷号
8
页码范围
142532-142542
出版商
IEEE
简介
Phishing is a type of social web-engineering attack in cyberspace where criminals steal valuable data or information from insensitive or uninformed users of the internet. Existing countermeasures in the form of anti-phishing software and computational methods for detecting phishing activities have proven to be effective. However, new methods are deployed by hackers to thwart these countermeasures. Due to the evolving nature of phishing attacks, the need for novel and efficient countermeasures becomes crucial as the effect of phishing attacks are often fatal and disastrous. Artificial Intelligence (AI) schemes have been the cornerstone of modern countermeasures used for mitigating phishing attacks. AI-based phishing countermeasures or methods possess their shortcomings particularly the high false alarm rate and the inability to interpret how most phishing methods perform their function. This study proposed four …
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