Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
IBM Systems Journal - Special issue on cryptology
Transaction processing systems
Transaction processing systems
On the design and administration of secure database transactions
ACM SIGSAC Review - Special issue on Issues '91: data management security and privacy standards
Protection and Security Issues for Future Systems
Proceedings of the International Workshop on Operating Systems of the 90s and Beyond
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This paper considers the interrelationships between knowledge-based security, concurrency and recoverability in online database transaction processing systems (OLTP). We describe how OLTP can permit the users to carry out the desired actions, and concurrently activate scrutinizing transactions that identify the users with respect to their biometrical or other characteristics stored in a secure knowledge database. A finite state machine model is used to design protocols for recovery, under security breaches. It is shown that the best way to achieve concurrency and recovery in OLTP is through shadowing and strict-scheduling in conjunction with certification locking or timestamping. We must, however, bear in mind that security and concurrency have conflicting requirements and at best we can achieve a compromise between them.