New graph-based statistical method detects threats to vehicular communications networks

Researchers at the University of Maryland, Baltimore County (UMBC) have worked to create methods for improving the safety of technologically complex vehicles. Now that the majority of new cars operate using sophisticated computing technology, they are vulnerable to malicious attacks on their networks that could lead to disastrous safety issues. Riadul Islam, assistant professor of computer science and electrical engineering, has worked with collaborators at UMBC and the University of Michigan-Dearborn to create a simple, easily adapted method for detecting the breaches in security. The research is published in the Institution of Electrical and Electronic Engineers (IEEE) publication Transactions on Intelligent Transportation Systems.

from News on Artificial Intelligence and Machine Learning https://ift.tt/35Z7w7p

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