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Mobile Internet access has become the norm rather than an exception in our daily lives, resulting in a large proportion of traffic attributed to mobile devices. To enhance the mobility support in Internet architecture, many research initiatives have devoted to investigating Named Data Networking (NDN) as the fundamental paradigm for the future Internet. NDN supports the consumer mobility by re-issuing...
Since B-to-B commercial websites play a decisive role in electronic business and trade, the evaluation and selection of them are very important. There have existed many methods for evaluation on commercial websites nowadays. But there are very few patterns of evaluation that are widely recognized and accepted so far. To tolerate subjective and objective factors that might influence evaluation results,...
Security analysis is a knowledge intensive process, in which the attackers and the system owners are competing with their knowledge about how the system is built, what are the weakest points of the system, and how to exploit or to protect them. In other words, it is a race of knowledge. In this paper, we present a service security modeling approach based on the agent-oriented requirement modeling...
In this paper, we develop a sophisticated time-based clustering algorithm to identify the BGP faults in the Internet inter-domain routing system. The algorithm fully utilizes the hidden temporal and topological correlations among the BGP routing updates to identify the common BGP faults that might trigger the routing updates. To verify the correctness and accuracy of the algorithm, several systematic...
In this paper, we explicitly propose the problem of fault identification in the Internet inter-domain routing system, and develop a systematic and sophisticate algorithm to identify the BGP faults in the Internet inter-domain routing system. The algorithm fully utilizes the hidden temporal and topological correlations among the BGP routing updates to identify the common BGP faults that might trigger...
Due to the complicated and ever-changing characteristics of Internet, network traffic prediction is a very complex and difficult issue in the network management and design. This paper shows a model with a new algorithm (MLSL), which updates the model parameters and improves the adaptive ability of the model. Generating self-similar series to simulate the network traffic and do some test, the experimental...
Network traffic anomaly detection is a difficult problem in network management. This paper presents a wavelet generalized likelihood ratio (WGLR) algorithm and an error performance detection (EPD) algorithm to solve this problem. WGLR algorithm combines generalized likelihood ratio (GLR) algorithm and wavelet transform method, and captures the failure point in real time. Error performance detection...
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