IoT devices are notoriously under-secured. Unlike traditional computing systems, these devices often come with limited ...

Beyond DDoS detection, this methodology has the potential to be applied to other areas of cybersecurity, such as malware detection, insider threat identification, and IoT security.

Botnet attacks can take control of IoT devices in smart cities, making such IoT devices weaponized so that they can be used to launch distributed denial of service attacks. These DDoS attacks can send ...

Google wants to stop DDoS attacks using machine learning. News. By Mayank Sharma last updated 21 July 2021 It’s the same tech that Google uses to protect itself.

That's where machine learning comes in. It's still a fairly nascent technology, but some companies are using machine learning to boost the value of their IoT initiatives.

Google Could have unveiled a public preview of Cloud Armor's Adaptive Protection -- a machine learning-powered method of detecting and protecting enterprise applications and services from Layer 7 ...

Interested in understanding how AI and machine learning are being used to prevent bot-based fraud attempts, I attended a few recent webinars with Kount's 3 Key Elements Needed For Successful Bot ...