| Abstract | In latest years, improvements in Internet and cloud technology have brought about a huge boom in digital buying
and selling wherein customers make on-line purchases and transactions. This increase results in unauthorized get
admission to customers touchy records and damages the assets of an enterprise. Phishing is one of the acquainted
assaults that trick customers to get admission to malicious content material and advantage their records. In phrases
of internet site interface and uniform aid locator (URL), maximum phishing webpages appearance same to the real
webpages. Various techniques for detecting phishing websites, consisting of blacklist, heuristic, Etc., had been
suggested. However, because of inefficient safety technology, there may be an exponential boom withinside the
wide variety of victims. The nameless and uncontrollable framework of the Internet is extra susceptible to phishing
assaults. Existing studies works display that the overall performance of the phishing detection device is limited.
There is a call for an sensible approach to defend customers from the cyber-assaults. Generative AI has emerged as
a promising tool to address this problem. By leveraging models like GPT (Generative Pre-trained Transformer)
and other AI techniques, these systems can potentially identify subtle content manipulations or generate synthetic
phishing content to train detection systems.
Index: Phishing, Phishing Attack, Machine Learning, Network Attack.
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