Biblio

Filters: Author is Zheng, Yu  [Clear All Filters]
2021-05-05
Chi, Po-Wen, Wang, Ming-Hung, Zheng, Yu.  2020.  SandboxNet: An Online Malicious SDN Application Detection Framework for SDN Networking. 2020 International Computer Symposium (ICS). :397—402.

Software Defined Networking (SDN) is a concept that decouples the control plane and the user plane. So the network administrator can easily control the network behavior through its own programs. However, the administrator may unconsciously apply some malicious programs on SDN controllers so that the whole network may be under the attacker’s control. In this paper, we discuss the malicious software issue on SDN networks. We use the idea of sandbox to propose a sandbox network called SanboxNet. We emulate a virtual isolated network environment to verify the SDN application functions. With continuous monitoring, we can locate the suspicious SDN applications. We also consider the sandbox-evading issue in our framework. The emulated networks and the real world networks will be indistinguishable to the SDN controller.

2018-05-16
Wu, Guojun, Ding, Yichen, Li, Yanhua, Bao, Jie, Zheng, Yu, Luo, Jun.  2017.  Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data. The 33rd International Conference on Data Engineering (ICDE 2017). :1–12.
Li, Yuhong, Bao, Jie, Li, Yanhua, Wu, Yingcai, Gong, Zhiguo, Zheng, Yu.  2017.  Mining the Most Influential $ k $-Location Set From Massive Trajectories. IEEE Transactions on Big Data. PP:1-14.
Bao, Jie, He, Tianfu, Ruan, Sijie, Li, Yanhua, Zheng, Yu.  2017.  Planning bike lanes based on Sharing-bike’s trajectories. the 23th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2017). :1–10.
Li, Ruiyuan, Ruan, Sijie, Bao, Jie, Li, Yanhua, Wu, Yingcai, Zheng, Yu.  2017.  Querying Massive Trajectories by Path on the Cloud. 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2017). :1–4.