Abstract-Spurred by financial scandals and privacy concerns, governments worldwide have moved to ensure confidence in digital records by regulating their retention and deletion. These requirements have led to a huge market for compliance storage servers, which ensure that data are not shredded or altered before the end of their mandatory retention period. These servers preserve unstructured and semi-structured data at a file-level granularity: email, spreadsheets, reports, instant messages. In this paper, we extend this level of protection to structured data residing in relational databases. We propose a compliant DBMS architecture and two refinements that illustrate the additional security that one can gain with only a slight performance penalty, with almost no modifications to the DBMS kernel. We evaluate our proposed architecture through experiments with TPC-C on a high-performance DBMS, and show that the runtime overhead for transaction processing is approximately 10% in typical configurations.
The ability to use the Internet can provide an important contribution to an older adult's quality of life. Communication via email with family, friends and service providers has become a critical factor for improving ones ability to cope with modern society as individual's age. The problem is that as users age, natural physical and cognitive impairments make it more difficult for them to use the required technology. The present study investigates the use of error detection as a means of improving web access amongst older adults. Specifically, error detection strategies are compared to observation as a means of identifying the impairments of Internet users.
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