Avoiding Information Leakage in the Memory Controller with Fixed Service Policies

Trusted applications frequently execute in tandem with untrusted applications on personal devices and in cloud environments. Since these co-scheduled applications share hardware resources, the latencies encountered by the untrusted application betray information about whether the trusted applications are accessing shared resources or not. Prior studies have shown that such information leaks can be used by the untrusted application to deci-pher keys or launch covert-channel attacks. Prior work has also proposed techniques to eliminate information leakage in various shared resources. The best known so-lution to eliminate information leakage in the memory system incurs high performance penalties. This work develops a comprehensive approach to eliminate timin