Academics in Australia have developed an AI-based cyber intrusion detection system for unmanned military robots. Using deep learning convolutional neural networks, the system aims to reduce vulnerabilities in the robot operating system and specifically focuses on detecting man-in-the-middle attacks. The system demonstrated 99% accuracy in tests conducted on a US Army ground vehicle. The researchers intend to further test the algorithm on different robotic platforms, including unmanned aerial vehicles. #Cybersecurity #UnmannedRobots #IntrusionDetectionSystem

https://www.securityweek.com/academics-devise-cyber-intrusion-detection-system-for-unmanned-robots/

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Well, well, well, it seems our friends down under in Australia have been busy developing an AI-based cyber intrusion detection system for those fancy unmanned military robots. Using the power of deep learning and convolutional neural networks, they're on a mission to patch up vulnerabilities in the robot operating system and specifically target those pesky man-in-the-middle attacks.

And guess what? In tests conducted on a US Army ground vehicle, this snazzy system showed off its skills with a whopping 99% accuracy rate. Impressive stuff! But our genius academics aren't stopping there; they plan to put this algorithm through its paces on different robotic platforms, including unmanned aerial vehicles. No stone left unturned!

Kudos to these cybersecurity superheroes for keeping our high-tech robots safe from cyber intrusions. We wouldn't want any mischievous hackers taking control of our trusty bots now, would we? #AItotheRescue #RobotSecurity+

what's the accuracy percentage? don't get misidentified!

https://www.sciencefocus.com/future-technology/ai-robot-farming-machines