Internet worm attacks have become increasingly more frequent and have caused enormous damage to the Internet community during the past years. A new security service that monitors the ongoing worm activities on the Internet and restricts the worm spreading rate automatically will greatly contribute to the security management of modern enterprise networks. Based on the comparison and analysis of many worm detection and containment strategies, a new and effective algorithm of detecting and containing network worms is proposed in this paper. The principle of this effective algorithm is an improved two rotation process to detect and contain worms. The simulation result of the algorithm is demonstrated so effectively to detect and slow down the rapid scanning worm and "stealthy" worm whose propagation rate is slower than the former. In order to reduce the number of false positives, the impact of normal network activities is also concerned. Finally, the simulation also analyzes the performance of detecting worms of the algorithm under normal and congestive network background.

Flight Maneuver Recognition (FMR) refers to the automatic recognition of a series of aircraft flight patterns and is a key technology in many fields. The chaotic nature of its input data and the professional complexity of the identification process make it difficult and expensive to identify, and none of the existing models have general generalization capabilities. A general framework is proposed in this paper, which can be used for all kinds of flight tasks, independent of the aircraft type. We first preprocessed the raw data with unsupervised clustering method, segmented it into maneuver sequences, then reconstructed the sequences in phase space, calculated their approximate entropy, quantitatively characterized the sequence complexity, and distinguished the flight maneuvers. Experiments on a real flight training dataset have shown that the framework can quickly and correctly identify various flight maneuvers for multiple aircraft types with minimal human intervention.

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Tower simulation system which is a realistic 3D realtime simulate training system has been traded widely, and it brings new requirements, simulating sea and water realistically in real-time. The paper studies classical sea simulation model all of the world, educes the conclusion that those classical models can't meet the requirements which are fast computation, realistic vision, the capacity to control ocean, square-built offing. According to requirements, the article introduces a controllable FBM model to simulate ocean. The leading thought is combining height field of FBM model with Gerstner models' linearly. It is proved that the controllable FBM model has good randomicity and fast computation, at the same time, since it combines 3D Gerstner model, it becomes a model which can control the ocean easily and can produce different ocean states, to show the effect of wind.Compare with other models, the controllable FBM model can produce more real waves, fluent film, obvious wind direction, no less than six levels of state of the sea. Keywords-Ocean wave model，FBM，Ocean wave SpectrumI.