Titlebook: Cyberspace Safety and Security; 11th International S Jaideep Vaidya,Xiao Zhang,Jin Li Conference proceedings 2019 Springer Nature Switzerla

郊區(qū)

書目名稱Cyberspace Safety and Security影響因子(影響力)




書目名稱Cyberspace Safety and Security影響因子(影響力)學(xué)科排名




書目名稱Cyberspace Safety and Security網(wǎng)絡(luò)公開(kāi)度




書目名稱Cyberspace Safety and Security網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Cyberspace Safety and Security被引頻次




書目名稱Cyberspace Safety and Security被引頻次學(xué)科排名




書目名稱Cyberspace Safety and Security年度引用




書目名稱Cyberspace Safety and Security年度引用學(xué)科排名




書目名稱Cyberspace Safety and Security讀者反饋




書目名稱Cyberspace Safety and Security讀者反饋學(xué)科排名

貪心

lactic

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/241946.jpg

minaret

https://doi.org/10.1007/978-1-4020-5269-9ble IoT devices are exploited to constitute botnet by many attackers, which forms a serious problem for network security. To solve it, we propose a novel detection and mitigation mechanism. In our method, we use Software Defined Networking (SDN), a promising network architecture, for dropping malici

Constitution

frivolous

Studies in Educational Leadership methods can not accurately represent the characteristics of network flow, and have the characteristics of high false alarm rate and high false alarm rate. This paper presents a multi-view distributed denial of service attack network flow feature extraction method based on convolutional neural netwo

frivolous

Insufficient

Sándor Berényi,Tibor Gyula Nagy(HRM) based on hierarchical representation learning network and a FlowMerge algorithm based on three network flow merging modes are proposed. Firstly, the network traffic is transformed into triples, and the dimensionality reduction of Tsne algorithm is used to transform it into network IP topology

MOT

執(zhí)

Sándor Berényi,Tibor Gyula Nagy of deploying additional fake systems in the corporate network, the production systems themselves should be instrumented to provide active defense capabilities. The proposed concept of traps can be implemented in any corporate production network, with little upfront work and little maintenance.