Research on stealthiness has become an important topic in the field of data integrity (DI) attacks. To construct stealthy DI attacks,\na common assumption in most related studies is that attackers have prior model knowledge of physical systems. In this paper, such\nassumption is relaxed and a covert agent is proposed based on the least squares support vector regression (LSSVR). By estimating\na plant model from control and sensory data, the LSSVR-based covert agent can closely imitate the behavior of the physical plant.\nThen, the covert agent is used to construct a covert loop, which can keep the controller�s input and output both stealthy over a finite\ntime window. Experiments have been carried out to show the effectiveness of the proposed method.
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