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All Outputs (3)

DeepClean: a robust deep learning approach for autonomous vehicle camera data privacy (2022)
Thesis
Adeboye, O. DeepClean: a robust deep learning approach for autonomous vehicle camera data privacy. (Thesis). University of Salford

Autonomous Vehicles (AVs) generate several forms of tracking data, such as geolocation, distance, and camera data. The utility of these data, especially camera data for computer vision projects, has contributed to the advancement of high-performance... Read More about DeepClean: a robust deep learning approach for autonomous vehicle camera data privacy.

Leveraging machine learning techniques for Windows ransomware network traffic detection (2018)
Book Chapter
Alhawi, O., Baldwin, J., & Dehghantanha, A. (2018). Leveraging machine learning techniques for Windows ransomware network traffic detection. In A. Dehghantanha, M. Conti, & T. Dargahi (Eds.), Cyber Threat Intelligence (93-106). Springer. https://doi.org/10.1007/978-3-319-73951-9_5

Ransomware has become a significant global threat with the ransomware-as-a-service model enabling easy availability and deployment, and the potential for high revenues creating a viable criminal business model. Individuals, private companies or publi... Read More about Leveraging machine learning techniques for Windows ransomware network traffic detection.