Service composition technology promises a new solution to an age-old problem: how to implement complex, large scale, cross-enterprise business application. However, we must ensure the compatibility between component services in composite service. Current research works in this field only concern semantics compatibility of service interface, yet ignoring the compatibility of service behavior. Therefore, this paper proposes a model of service behavior based on Petri-nets with weight. Based on the novel model, a method is proposed to verify and compute service behavior compatibility.
Establishing a complete information security policy is the most important step to solve the problem of information security and the basis for the entire information security system. Using intrusion detection technology to identify the source of threats and adjusting security policy is an effective operation of network protection. Trained BP neural network model is usually adopted as detector, but because of defects of weights training algorithm of BPNN, the weights always fall into local minima area. In order to address this problem, we propose a shorter training time and can achieve a superior detection rate than BPNN.
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