Security analysis is one of the important issues in power system reliability evaluation. A probabilistic method using sequential Monte Carlo simulation is introduced for modeling and integration of steady state and dynamic security assessment in computing the reliability indices. These system indices provide quantitative measures of the system operating states for use in short and long term planning. Case studies of the Western System Coordinating Council (WSCC) system and IEEE reliability test system (RTS) are described to demonstrate this approach.