A comprehensive survey of AI-enabled phishing attacks detection techniques

In recent times, a phishing attack has become one of the most prominent attacks faced by internet users, governments, and service-providing organizations. In a phishing attack, the attacker(s) collects the client’s sensitive data (i.e., user account login details, credit/debit card numbers, etc.) by...

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Vydáno v:	Telecommunication systems Ročník 76; číslo 1; s. 139 - 154
Hlavní autoři:	Basit, Abdul, Zafar, Maham, Liu, Xuan, Javed, Abdul Rehman, Jalil, Zunera, Kifayat, Kashif
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.01.2021 Springer Nature B.V
Témata:	Access control Artificial Intelligence Business and Management Computer Communication Networks Copying Cybercrime IT in Business Literature reviews Machine learning Phishing Probability Theory and Stochastic Processes Social networks Telecommunications systems Websites Deep learning Advanced phishing techniques Internet security Machine learning Security threats Phishing attack Hybrid learning Cyberattack
ISSN:	1018-4864, 1572-9451
On-line přístup:	Získat plný text
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