Secure, Trustworthy, and Reliable Systems
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Prof. Kang G. Shin receives DoD grant to investigate security of semi-autonomous systems
Prof. Shin plans to identify potential attack surfaces and security/safety issues while developing defense mechanisms against attacks on semi-autonomous systems.U-M spin-off Agita Labs releases always encrypted computing product
TrustForge, based on U-M research spearheaded by Austin and Bertacco, provides users with the ability to protect data using a process called sequestered encryptionU-M, Cavium partner on Big Data research computing platform
The new partnership will provide scalable storage and an analytic software framework available to all U-M researchers.
Smartphone security hole
‘Open port’ backdoors are common.