UAE engineer develops AI that detects cyberattacks 31 times faster
Abu Dhabi: An Emirati engineer has developed an artificial intelligence (AI) system that detects cyberattacks with 97.45 per cent accuracy, identifying 14 types of threats in just 0.87 milliseconds — around 31 times faster than a previous international research benchmark tested on the same device. Mohammed Al Shehhi, a data scientist and lecturer at the Higher Colleges of Technology, developed…
An Emirati engineer named Mohammed Al Shehhi has created an artificial intelligence (AI) system capable of detecting cyberattacks up to 31 times faster than previous benchmarks. The AI system, developed by a data scientist and lecturer at the Higher Colleges of Technology, identifies 14 different types of cyber threats with an impressive 97.45% accuracy.
This breakthrough could lead to more efficient cybersecurity solutions for internet-connected devices, such as surveillance cameras, smart appliances, and industrial equipment. Al Shehhi will present his findings at the 12th World Internet of Things (IoT) Congress in Abu Dhabi, which is being hosted by the UAE for the first time.
The AI system's innovative approach uses explainable artificial intelligence to identify the most useful network indicators for detecting malicious activity, reducing the number of features by approximately 57% and simplifying the detection process. Furthermore, the technology has been tested on real hardware, demonstrating its potential for practical implementation in various industries and homes.
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