X Huang, S Cheng, K Cao, P Cong… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
A hybrid software defined networks (SDN) network contains both traditional and SDN network, which combines the robustness of traditional protocols with the flexibility of SDN …
Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer …
K Xie, C Peng, X Wang, G Xie, J Wen… - … ACM transactions on …, 2018 - ieeexplore.ieee.org
The inference of the network traffic matrix from partial measurement data becomes increasingly critical for various network engineering tasks, such as capacity planning, load …
R Zhang, S Newman, M Ortolani… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Traffic monitoring is a key enabler for several planning and management activities of a Smart City. However, traditional techniques are often not cost efficient, flexible, and scalable …
Undoubtedly, the characterisation of network traffic flows is vitally important in understanding the dynamics of Internet traffic and in appropriately dimensioning network resources for …
M Malboubi, SM Peng, P Sharma, CN Chuah - Computers & Electrical …, 2018 - Elsevier
In this paper, we propose an intelligent framework for Traffic Matrix (TM) inference in Software Defined Networks (SDN) where the Ternary Content Addressable Memory (TCAM) …
Methods, systems, and media for detecting covert malware are provided. In accordance with some embodiments, a method for detecting covert malware in a computing environment is …
DA Tian, G Sansavini - … Engineers, Part O: Journal of Risk …, 2018 - journals.sagepub.com
The growing presence of cyber interdependencies in critical infrastructures can be exemplified by grid splitting, which is an application in power system stability and control …
To optimize the flow of traffic in IP networks, operators do traffic engineering (TE), ie, tune routing-protocol parameters in response to traffic demands. TE in IP networks typically …