CoEIA Publishes Research on Ransomware Detection Using Deep Learning
CoEIA published a paper on using deep learning to analyze Windows programs and distinguish ransomware from legitimate software and other malware.
Research summaries and scientific news from CoEIA researchers.
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 at King Saud University was granted a new US patent in the field of biometrics security.
A CoEIA research team published a paper describing an innovative method to bypass the advanced protection mechanisms of NXP chips using voltage fault injection.
CoEIA at King Saud University was granted US patent number 11271971 by the USPTO in the field of vehicle cybersecurity.
A CoEIA researcher won the best survey paper award for a study on privacy protection in blockchain systems, published in the Elsevier journal JNCA.
CoEIA took part in scientific research on developing advanced, low-energy routing protocols for smart Internet of Things applications.
A researcher from the Center of Excellence in Information Assurance co-authored a T20 policy brief on fostering a safer cyberspace for children.