New cybersecurity tech protects computer networks in vehicles

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Representational Image&nbsp

New York: A team of US researchers has developed a new machine learning-based framework to enhance the security of computer networks inside vehicles without undermining performance.

In collaboration with experts from Virginia Tech, the University of Queensland and Gwangju Institute of Science and Technology, researchers at the US Army Research Laboratory devised a technique called ‘DESOLATOR’ to help optimise a well-known cybersecurity strategy known as the moving target defense.

DESOLATOR, which stands for deep reinforcement learning-based resource allocation and moving target defense deployment framework, helps the in-vehicle network identify the optimal IP shuffling frequency and bandwidth allocation

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