CoEIA Publishes Research on Intrusion Detection for the Internet of Vehicles
CoEIA published a paper on an intrusion detection system for the Internet of Vehicles that extracts rules from deep learning models to identify attack traffic.
News, events and articles from the Center of Excellence in Information Assurance.
CoEIA published a paper on an intrusion detection system for the Internet of Vehicles that extracts rules from deep learning models to identify attack traffic.
CoEIA published a paper reviewing the cyber and physical risks of the Internet of Drones, current countermeasures and future research directions.
CoEIA published a paper on using deep learning to analyze Windows programs and distinguish ransomware from legitimate software and other malware.
CoEIA published a paper combining blockchain and deep learning to predict brain tumors in MRI images securely, accurately and transparently.
CoEIA published a paper on an intelligent method that uses artificial intelligence to locate Tor servers, and its implications for IoT privacy and protection.
CoEIA took part in GISEC 2023 in Dubai with a workshop on cybersecurity for connected and autonomous vehicles and a panel on regional threats.
CoEIA hosted an event introducing its services and collaboration opportunities in research, entrepreneurship and practical training to students interested in cybersecurity.
CoEIA at King Saud University was granted a new US patent in the field of biometrics security.