International Journal of Computer Science Issues
In recent years, network management is commonly regarded as an essential and promising function for managing and improving the security of network infrastructures. However, as networks get faster and network centric applications get more complex, there is still significant ongoing work addressing many challenges of the network management. Traditional passive network censoring systems lack of adaptive policy pre-fetching scheme, as a result, preventing malicious behavior (such as hacker, malware etc.) is big challenging. In this paper, the authors propose a novel user behavior prediction based adaptive policy pre-fetching scheme for efficient network management. A newly Distributed web User Behavior Prediction model (DUBP) is introduced first to cognize and predict user behavior.