LAUSR

Communication protocol is the rule and process of information exchange between every communication entities. It is the technical support of seamless interconnection between heterogeneous networks from SAGN (space-air-ground network). SDN (software-defined network) is a significant attempt framework on SAGN to manage all the entities. However, there are the following problems of protocol monitoring based on SDN. To define a unified monitoring framework on a heterogeneous network is difficult. What’s more, demanded monitoring features are much less than the real traffic in the network. The captured features are always redundancy in the case of protocol monitoring. Therefore, this paper proposes a new method of discrete Noetherian ring variational pattern features set for SAGN protocol monitoring. We build the real time traffic model of SAGN based on discrete Noetherian ring multi-dimensional vector. Employing the traffic between heterogeneous network elements to describe the non-linear features by reasoning the origin traffic. To make the discrete features into finite feature of the Noetherian ring, furtherly operate Legendre equation to design reversible multidimensional feature matrix. Those enhance the aggregation of protocol features. Continuous feature set and content monitoring of real-time monitoring traffic are designed. Associating spatial information features is enhances the adaptive ability of traffic feature set. The simulations and tests demonstrates that the new method has improve the accuracy of protocol test by 28% and response time by 3.53 s.