• Prof. Reena Deshmukh
• Aishwarya J Nehete
• Sampada M Payal
• Riddhi H Radia

In today's fast-evolving technological landscape with a burgeoning number of internet users and data, the need for a web browser extension dedicated to detecting phishing websites has become more critical than ever. Users struggle to differentiate between legitimate and fraudulent websites, making their personal and financial information increasingly vulnerable. Cybercriminals have refined their methods, further complicating the identification of fraudulent webpages, elevating the risk to personal and financial information to unprecedented levels. The existing system for phishing website detection faces several drawbacks, including a limited dataset and reduced accuracy. In response to these challenges, the demand for phishing detection extensions has surged. We have implemented an extension that utilizes machine learning techniques, including the Random Forest algorithm, multilayer perceptron, support vector machine to autonomously detect various features. FraudFence serves safeguarding users from the ever- present risk of online fraud, ensuring a secure digital experience. FraudFence-A Phishing Shield for Websites is a crucial line of defense, diligently scanning websites and issuing timely alerts when potential phishing attempts are identified. It plays a pivotal role in safeguarding users from the ever-present threat of online fraud.

FraudFence, Phishing, Web Extension

"FRAUD FENCE A PHISHING SHIELD FOR WEBSITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.26-32, July-2024, Available :http://www.jetir.org/papers/JETIRGK06003.pdf

"FRAUD FENCE A PHISHING SHIELD FOR WEBSITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. pp26-32, July-2024, Available at : http://www.jetir.org/papers/JETIRGK06003.pdf