A Comprehensive Study of Classification of Phishing Attacks with its AI/I Detection
Prerna Seth, Madhavi Damle · 2022
Phishing is a cybercrime in which an attacker sends a phony (“ spoof’) communication in the hopes of duping a human victim into divulging important information. These attack entails distributing fake websites links and messages to users and then manipulating and acquiring the information (including login credentials, credit card numbers and unique personal identification) solely for malicious intent. There is a need for an hour to understand phishing attacks as these attacks are evolving and also as the attacks are becoming more intricate and rampant, this results in more people falling prey to such scams. The study seeks to provide greater insight into the types of phishing attacks and their identification, detection, and the provision of existing AI/I solutions to defend the organization against the said malicious attacks. The implications are condemning and to prevent such instances a smarter detection system manned by artificial intelligence and machine learning is used. This research paper aims to start the discussion about phishing attacks by understanding the different type of vectors and methods through which these assaults is carried out. Also, pointing out the necessity of the implementation of intelligence solutions in the organization's cybersecurity infrastructure.