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Security defense tools like firewalls and antivirus software's are not sufficient to defend against dynamic threats to database systems. Successful attacks could not only seriously impair the integrity of a database but also potentially harm the business operation, assets, and profitability. A better understanding of the attack behavior and its degree of spreading is needed. In this paper, the authors provide a careful analysis of threats to database security and their propagation in a database system. Based on the classical Susceptible-Infected-Susceptible (SIS) epidemic model, a stochastic damage propagation model is proposed. This model leads to a better understanding and prediction of the scale and speed of damage propagation in a database system.
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