Machine Learning

Vehicular Ad Hoc Networks (VANETs) are like the Avengers of the road. Autonomous, connected, and ready to revolutionize transportation. But with great tech comes great vulnerabilities. Distributed Denial-of-Service (DDoS) attacks is one of the most serious threats to VANET Cloud systems. These attacks can clog networks, disrupt communication, and make a smart car, well, not-so-smart. Thankfully, researchers are on it. There are studies out there proposing a machine learning-based framework to detect DDoS attacks in VANET Clouds with a jaw-dropping accuracy of 99.59%. ...

Phishing is no joke. It is one of the most pervasive cybersecurity threats, one of the major attack vectors against corporations and individuals, with a 345% surge in unique phishing sites between 2020 and 2021. Enter machine learning, our new best friend in the fight against phishing. This research proposes a smart system for predicting phishing websites using Support Vector Machines (SVM). Let’s take a look at some practical LM to fight cyber crime, as opposed to all the AI generic claims from most vendors nowadays. ...