Titlebook: E-Business and Telecommunications; 12th International J Mohammad S. Obaidat,Pascal Lorenz Conference proceedings 2016 Springer Internationa

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书目名称E-Business and Telecommunications影响因子(影响力)




书目名称E-Business and Telecommunications影响因子(影响力)学科排名




书目名称E-Business and Telecommunications网络公开度




书目名称E-Business and Telecommunications网络公开度学科排名




书目名称E-Business and Telecommunications被引频次




书目名称E-Business and Telecommunications被引频次学科排名




书目名称E-Business and Telecommunications年度引用




书目名称E-Business and Telecommunications年度引用学科排名




书目名称E-Business and Telecommunications读者反馈




书目名称E-Business and Telecommunications读者反馈学科排名

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978-3-319-30221-8Springer International Publishing Switzerland 2016

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https://doi.org/10.1007/978-0-387-89848-3hreats. When expressing a policy, one needs to characterise the traffic to which the policy applies by traffic identifiers. Low level traffic identifiers, such as IP addresses and port numbers, are available in each packet. Indeed, low level traffic identifiers are perfect for data plane routing and

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Zhonghui Xu,Jianchu Li,Mei Zhangut its flexibility concerning the algorithms used for securing a channel between two parties can also be a weakness, due to the possible agreement on insecure ciphers. State of the art cipher suites are not supported by all websites. We relate on an existing white paper (Applied Crypto Hardening) gi

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Congenital Disorders of the Larynxnd Freelancer, to name a few). This task is especially difficult because of the large number of items to look for and the need for manual compatibility by human resources. What we propose in this paper is an architecture for recruitment matchmaking that considers the user and opportunity models (con

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Dapeng Lu,Hongfei Liu,Jinling MaAlthough China has the largest number of Internet users in the world, users just started to use location sharing services in the last couple of years. This study aims to have a better understanding of the use of location sharing services on social networking platforms in China. To address this, four

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https://doi.org/10.1007/978-3-642-96280-6 user data. This paper is focused on creating a user model that can be suitably adapted to advertisement applications. To integrate data from different publicly available sources, a social component has been added to the user model, to support advertisements adaptation. In addition, a straightforwar

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