Peng Liu - Pennsylvania State
Self Healing Cyber Databases Under Malicious Attacks
Jan 26, 2005
Episode #280
Abstract
Databases, a critical component of most cyber infrastructures such as financial services, motivated 39% of the server volume in 2000. Cyber databases today suffer from serious attacks from insiders and the bad guys that steal the identity of good guys. These attacks are typically in the form of authorized but malicious transactions when being enforced.
With a focus on prevention, traditional database security mechanisms are very limited in tackling such attacks, and the need of attack-resilient database systems with self-healing capability is urgent. In this research, we propose ITDB, a novel self-healing database framework composed of a family of new database survivability techniques. An ITDB system can autonomically estimate, locate, isolate, contain, and repair the damage caused by attacks in such a way that the cyber database can "heal" itself on-the-fly and continue delivering essential services in the face of attacks. An overview of the family of ITDB techniques will be given, but the presentation will focus on two of them,
i.e., proactive damage containment and on-the-fly attack recovery. In addition, experiences in developing the ITDB prototype will also be shared.
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