Architectural Support for Lease-Regulated Secret Data
Lanfang Ren, Bai Hongtao, Liu Fei · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2013
Contemporary cloud software stack is large and complex, where security vulnerabilities are routinely discovered.Hence, it is hard or even impossible to place trust on such a fragile platform to process some security-critical data.In this paper, we propose an architectural solution that extends processors with cryptographic support and policy enforcement engine to regulate the usage of security-critical data in an untrusted cloud platform.Specifically, we make a specific case of using such a platform for protecting the secrecy of lease-regulated data, which should only be accessed within a predefined amount of times or before a specific date.We further discuss how such protection is necessary in several security-critical usage scenarios.