Author(s) :   Savarnika Ravulapelly¹, Paladugu Gayathri², Zainab Farooq³, T.C Swetha Priya⁴

Abstract : Internet dragged more than half of the world's population into the cyber world. Unfortunately, with the increase in internet transactions cybercrimes also increase rapidly. With the anonymous structure of the internet, attackers attempt to deceive the end-users through different forms namely phishing, malware, system tunneling, ransom ware etc. Amongst them, phishing is the most deceiving attack that exploits the vulnerabilities in the end-users. Phishing is often done through emails and malicious websites to lure the user by posing themselves as a trusted entity. Security experts have been proposing many anti-phishing techniques. Till today there has been no single solution that can mitigate all the vulnerabilities. This paper gives an overview of a systematic review of current trends in web phishing detection techniques. The objective of this study is to acknowledge the status of current research in automated web phishing detection and evaluate their performance. This study also discusses the research avenues for future investigation.

Keywords: Attack, Security threats, Phishing, Cyber-attack, Internet security, Machine learning.

DOI : 10.61161/ijarcsms.v12i11.2

Pages : 9-17

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