User Behavior Prediction based Adaptive Policy Pre-fetching Scheme for Efficient Network Management
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, we 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. It extends a distributed DHT network to fix the bottleneck in traditional Client-Server (C/S) architecture occurred by large-scale network service requesting and massive user log analyzing and calculating. Based on user behavior sensing and prediction provided by DUBP, a further Adaptive Policy Pre-fetching and Caching scheme (APPC) is addressed for fine-grained and efficient network management. Our Universal Network (UN) will employ DUBP and APPC scheme to justify its advantages in secure network service.
Keywords: etwork management; user behavior analysis, policy pre-fetch; Universal Network
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ABOUT THE AUTHORS
Yuanlong Cao
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications
Jianfeng Guan
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications
Wei Quan
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications
Jia Zhao
Telecommunications. National Engineering Laboratory for Next Generation Internet Interconnection Devices, Beijing Jiaotong University
Changqiao Xu
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. Institute of Sensing Technology and Business, Beijing University of Posts and Telecommunications.
Hongke Zhang
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. National Engineering Laboratory for Next Generation Internet Interconnection Devices, Beijing Jiaotong University.
Yuanlong Cao
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications
Jianfeng Guan
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications
Wei Quan
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications
Jia Zhao
Telecommunications. National Engineering Laboratory for Next Generation Internet Interconnection Devices, Beijing Jiaotong University
Changqiao Xu
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. Institute of Sensing Technology and Business, Beijing University of Posts and Telecommunications.
Hongke Zhang
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. National Engineering Laboratory for Next Generation Internet Interconnection Devices, Beijing Jiaotong University.
