• Jessica M
• Avinash P Bhat
• Bhargav A
• Shri Prasada
• Deepthi VS

Internet users can access the internet from any location around the globe. Internet provides access to communication services such as world wide web, email. Internet is more prone to attacks Due to increased internet usage the cyber-attacks are also increasing. Different types of attacks include Malware, Denial of Service, SQL injection, Man in the middle, Password attacks. This has been an enormous threat for an average internet user who is not well versed technically or is not aware of these attacks. The most common attack is the Phishing attack. Phishing is a variant of cyber-crime or cyber-attack, which exploits social engineering attack techniques to perform fraud and has an adverse effect on people where the user is directed to reveal their sensitive and private information which includes sensitive data of accounts, details about the bank account, and also card details such as pin number, CVV number, etc. Hence securing sensitive data from phishers or web phishing is a tedious task. Technology is essential to provide the organization the tools to provide security to shield from cyber-attacks. Machine learning has become an important part of information technology for cybersecurity. Machine learning pre-emptively stamps out cyber threats and bolsters security infrastructure through pattern detection, real-time cybercrime mapping, which has shown solutions in recent times in opposing phishing pages when distinguished with visualization, legal solutions, including awareness work-shops, and classic anti-phishing approaches. In this survey, various techniques are adopted which includes Machine learning and Deep learning techniques are used to derive different kinds of anti-phishing tools. This survey helps to know about different methods to detect and prevent phishing attacks.

Phishing attack, Machine learning, Deep Learning, Legitimate URL, Feature extraction, Prediction, Accuracy

"Review on detection of phishing attacks using machine learning algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.c249-c254, May-2021, Available :http://www.jetir.org/papers/JETIR2105286.pdf

"Review on detection of phishing attacks using machine learning algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppc249-c254, May-2021, Available at : http://www.jetir.org/papers/JETIR2105286.pdf