Engineering graduates develop Deep Learning-based solution to detect phishing attacks

A four-member team of computer science students have developed a Deep Learning-based solution to detect phishing motives

Clicking on an innocuous-looking link received over WhatsApp is all it takes for an unsuspecting user to fall .

That probability has only increased manifold ever since the onset of the pandemic last year, with companies and individuals being hit by waves after waves of .

Realising the, a four-member team of computer science students, who have now passed out, from the Rajagiri School of Engineering and Technology (RSET) have developed a Deep Learning-based solution to detect websites with phishing motives as part of their B.Tech final year project. The solution has caught the eyes of , which is now in the process of adding it as a module to their existing app, BSafe, for alerting fraud and spam calls.