郊区 发表于 2025-3-21 17:59:50
书目名称Cyberspace Safety and Security影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0241946<br><br> <br><br>书目名称Cyberspace Safety and Security影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0241946<br><br> <br><br>书目名称Cyberspace Safety and Security网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0241946<br><br> <br><br>书目名称Cyberspace Safety and Security网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0241946<br><br> <br><br>书目名称Cyberspace Safety and Security被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0241946<br><br> <br><br>书目名称Cyberspace Safety and Security被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0241946<br><br> <br><br>书目名称Cyberspace Safety and Security年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0241946<br><br> <br><br>书目名称Cyberspace Safety and Security年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0241946<br><br> <br><br>书目名称Cyberspace Safety and Security读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0241946<br><br> <br><br>书目名称Cyberspace Safety and Security读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0241946<br><br> <br><br>贪心 发表于 2025-3-21 21:28:52
http://reply.papertrans.cn/25/2420/241946/241946_2.pnglactic 发表于 2025-3-22 01:19:20
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/241946.jpgminaret 发表于 2025-3-22 07:40:42
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 maliciConstitution 发表于 2025-3-22 08:42:53
http://reply.papertrans.cn/25/2420/241946/241946_5.pngfrivolous 发表于 2025-3-22 13:34:29
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 netwofrivolous 发表于 2025-3-22 20:17:44
http://reply.papertrans.cn/25/2420/241946/241946_7.pngInsufficient 发表于 2025-3-22 22:36:11
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 topologyMOT 发表于 2025-3-23 01:25:40
http://reply.papertrans.cn/25/2420/241946/241946_9.png执 发表于 2025-3-23 07:37:03
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.