Data from King Saud University Update Knowledge in Machine Learning (RobEns: Rob ust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic)
Data from King Saud University Update Knowledge in Machine Learning (RobEns: Rob ust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news originating from Riyadh, Sau di Arabia, by NewsRx editors, the research stated, “Recently, Machine Learning ( ML)-based solutions have been widely adopted to tackle the wide range of securit y challenges that have affected the progress of the Internet of Things (IoT) in various domains. Despite the reported promising results, the ML-based Intrusion Detection System (IDS) proved to be vulnerable to adversarial examples, which po se an increasing threat.” Funders for this research include Research Centre of College of Computer And Inf ormation Sciences, Deanship of Scientific Research, King Saud University.
Key words
King Saud University, Riyadh, Saudi Arab ia, Asia, Cybersecurity, Cyborgs, Emerging Technologies, Machine Learning
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