Reconstructing the Database After Electronic Attacks
Brajendra Panda, Joseph V. Giordano · 1999
In spite of all existing security mechanisms, it is quite difficult to protect databases from electronic attacks. This research provides techniques to make an assessment of the damaged data and then to recover the affected data to consistent states after an attack is detected. Damage assessment is done using data dependency approach in order to obtain precise information on the damaged part of the database. Two algorithms are presented in this paper. The first algorithm performs the damage assessment and recovery simultaneously; whereas the second algorithm separates these two processes for improved efficiency. Both algorithms allow blind- writes on data items allowing damaged items to be recovered automatically. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.