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Shenango Professor Showcases Malware Detection Model

Penn State Shenango assistant professor of cybersecurity, Dima Rabadi, showcased a unique malware detection model at the 58th Hawaii International Conference on System Sciences. The BERT-Cuckoo15 model leverages machine learning, identifying malware with 98% accuracy through comprehensive dynamic feature analysis. Rabadi believes this breakthrough could revolutionize malware analysis and inspire future research in cybersecurity.

Source: businessjournaldaily.com –

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