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Titlebook: Cyber Security; 17th China Annual Co Wei Lu,Qiaoyan Wen,Yu Zhou Conference proceedings‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The A

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楼主: Inoculare
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2018 Foundation Syllabus Overviewcost and imbalance between supply and demand in agriculture have greatly hindered the development of agriculture. The various properties of blockchain technology can make up for the lack of agricultural mechanism, and the fusion of the two is a hot issue in the application of blockchain. Blockchain
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https://doi.org/10.1007/978-3-319-98740-8ting larger. Many security organizations began to use data-driven approaches to investigate gangs and groups beneath DDoS attack behaviors, trying to unveil the facts and intentions of DDoS gangs. In this paper, DDoSAGD - a DDoS Attack Group Discovery framework is proposed to help gang recognition a
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https://doi.org/10.1007/978-1-4613-4395-0fore emerges. In recent years, the number of OTN devices in backbone and core equipment rooms has increased sharply. However, due to factors such as equipment room planning, air conditioner, and power supply, new electrical racks cannot be installed in the same equipment room as original optical rac
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https://doi.org/10.1007/978-981-16-3041-5, network security has become increasingly important. Intrusion detection systems have received considerable attention, which not only can detect known attacks or intrusions, but also can detect unknown attacks. Among the various methods applied to intrusion detection, logistic regression is the mos
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https://doi.org/10.1007/978-981-16-3041-5ommunity detection. Label propagation is one of the main methods to realize the user location prediction. The traditional label propagation algorithm has the problems including “location label countercurrent” and the update randomness of node location label, which seriously affects the accuracy of u
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https://doi.org/10.1007/978-981-16-3041-5nce in collection and its ability to reflect user profile. To protect user privacy, researchers have adopted local differential privacy in data collection process. However, most existing methods assume that location has already been discretized, which we found, if not done carefully, may introduces
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PassEye: Sniffing Your Password from HTTP Sessions by Deep Neural Networksword. However, most existing methods have many deficiencies in versatility and automation, such as manual analysis, keyword matching, regular expression and SniffPass. In this paper, to better describe the problem, we propose a HTTP Sessions Password Sniffing (HSPS) attack model which is more suita
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Research on the Development Route of International Communication Accessese requirements, which requires pre-deployment of international infrastructure. The construction of international communications infrastructure is an important guarantee for China’s major international activities, external communication activities, and the normal operation of global and regional econ
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