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Terrible network environment is damaging the critical infrastructure and the interests of internet users. In order to ensure the protection and resilience of attack, it is important to better analyze and observe network traffic for discovering anomaly. This paper presents a clustering algorithm by using network-layer and transport-layer statistical feature to classify anomaly traffic. Experiments...
The paper presents a new in-network aggregation algorithm that improves cluster-head and multi-path aggregation in order to address the challenges of energy efficiency and data accuracy in WSNs. We propose a neighbour-aware multi-path clustering aggregation algorithm for data processing and transmission in the network (NMCA). In order to benefit from the advantage of both cluster-based and multi-path...
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