• 基于持续增量模型的低速端口扫描检测算法

    Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-01-28 Cooperative journals: 《计算机应用研究》

    Abstract: Port scanning is a common and effective intrusion technique for searching vulnerable Internet hosts and ports. The detection technology of fast port scanning has matured, but the hidden low-speed port scanning detection effect needs to be improved. This paper studies low-speed port scanning. According to the time persistence and feature dispersion of low-speed scanning, a low-speed port scanning detection algorithm based on continuous incremental model is proposed. The conditional entropy is used to evaluate the feature distribution. The experimental results show that the detection rate of the algorithm can reach 99.78%, and the false positive rate is 7%. The algorithm is applicable to a variety of complex network environments, and does not require network prior knowledge. The detection rate has low accuracy on the threshold, and can effectively detect low-speed port scanning behavior.

  • 基于级联体素纹理的VCT全局光照算法

    Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-12-13 Cooperative journals: 《计算机应用研究》

    Abstract: To solve the problem that the global illumination rendering of large scale scene can’t meet the real-time requirement, this paper proposed a voxel cone tracking (VCT) global illumination algorithm. The algorithm includes: a) In the phase of voxelization, this paper proposed a novel scene illumination information representation structure called "cascade voxel textures". This structure can not only greatly reduce the memory consumption of the storage scenes, but also have anisotropy. b) In the phase of illumination calculation, this paper proposed an improved cone tracing filter based on the cascade texture structure. This filter improved the efficiency of illumination injection and reflected light calculation. c) The voxel updating strategy of the scene improved the runtime frame rate of the algorithm. Experimental results show that the proposed algorithm is much better than the original VCT algorithm in reducing the memory and improving the speed. The algorithm meets the real-time requirement of global illumination calculation in large-scale scene.

  • 基于多特征的跨语言剽窃检测技术研究

    Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-10-11 Cooperative journals: 《计算机应用研究》

    Abstract: In order to solve the problem of bilingual plagiarism, this paper constructed a multi-feature-based cross-language plagiarism detection model. This paper firstly analyzes and summarizes the research status of single and double language plagiarism, and proposes a multi-feature-based cross-language plagiarism detection model. The model includes multi-feature-selection-based cross-language plagiarism classification and multi-feature-correspondence–based cross-language plagiarism detection. The results of plagiarism filtering two times is mainly based on the correspondence between translation features and structural features. Finally, the last plagiarism is confirmed by WordNet. In this paper, the transcendental plagiarism model is established, and the results of the classification and the test results are verified by experimental comparison and experimental analysis. The validity and scientificity of the model are proved.

  • 一种基于指纹融合的跨语言剽窃检测技术

    Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》

    Abstract: Cross-language plagiarism has always been the hardest hit for academic misbehavior. It is also a behavior that is extremely difficult to spot. Cross-language plagiarism detection and identification technology is the most urgent technology that needed to be developed. It is also the biggest technical difficulty in the field of plagiarism. Based on the summary and analysis of current researches on the monolingual plagiarism detection and cross-language plagiarism detection, aiming at the existing problem of cross-language plagiarism detection, this paper proposes a cross-language plagiarism detection technology based on fingerprint fusion. This paper also carries out experimental verification on the plagiarism set of artificial building. Through analyzing and comparing the result of experiments, it can be concluded that the method is indeed effective.

  • 政策血缘关系网络构建与传播演化机理研究

    Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-18 Cooperative journals: 《计算机应用研究》

    Abstract: In this paper, the lineage from a policy text perspective modeling approach. The method is an industry policy text formalized policies lineage tree. Between policy text lineage tree node "shadows attract", eventually forming policy based network text lineage relationship. And on the basis of the policy text on the basis of lineage network nodes in the network referral value, evaluate and dominant policy points found kinship network text, through the dissemination of policy text lineage network evolution mechanism constructed PCRL model, and the model based on PCL above, to achieve a brittle point of excavation and to mine the evolution mechanism. Finally, the policy text experiment in the field of modeling and analysis methods used in the field of policy text points specific area of policy research.

  • 基于GPU异构平台的实时CT图像重建系统的研究

    Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-17 Cooperative journals: 《计算机应用研究》

    Abstract: In order to solve long time consuming problems of single CPU computed tomographic reconstruction and the problems of high cost and high energy consumption in the reconstruction using CPU cluster, this paper proposed a heterogeneous reconstruction model of CPU multithreads +GPU . This model used the CPU multithread pipelining pattern, it divided the whole task into several stages, and it connected each two adjacent phases by a loop buffer. Once the calculation of the current task stage completes, the data would be put into the loop buffer, and then the next computing task would continue to execute. When the data in the loop buffers was detected by the latter stage, the data would be removed from the loop buffers and calculated. In this way, each thread processes tasks in a parallel way. For a time consuming bottleneck module, the parallel acceleration of GPU was adopted to give full play to the computing resources of CPU and GPU. The CPU multithreads +GPU model is 16.45 times faster than the CPU multithreaded model, and accelerates more than 20.5 times faster than serial CT image reconstruction. By燾omparing with爀xperimental爎esults of CPU serial program, the result of the CPU multithreads +GPU model can meet the experimental design requirement in the range of error tolerance. The image reconstruction model proposed by using low cost GPU has greatly enhanced performance, greatly reduces the cost and power consumption of the CT system . The reduction in cost and power consumption will lead to a reduction in the cost of CT medical diagnosis, which will eventually benefit patients.