Network monitoring in software-defined networking: A review

PW Tsai, CW Tsai, CW Hsu, CS Yang - IEEE Systems Journal, 2018 - ieeexplore.ieee.org
Monitoring is an important concept in network management as it helps network operators to
determine the behavior of a network and the status of its components. Traffic engineering …

A survey of deployment solutions and optimization strategies for hybrid SDN networks

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 …

Understanding the modeling of computer network delays using neural networks

A Mestres, E Alarcón, Y Ji… - Proceedings of the 2018 …, 2018 - dl.acm.org
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 …

Accurate recovery of internet traffic data under variable rate measurements

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 …

A network tomography approach for traffic monitoring in smart cities

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 …

[HTML][HTML] Internet traffic characterisation: Third-order statistics & higher-order spectra for precise traffic modelling

AK Marnerides, DP Pezaros, D Hutchison - Computer Networks, 2018 - Elsevier
Undoubtedly, the characterisation of network traffic flows is vitally important in understanding
the dynamics of Internet traffic and in appropriately dimensioning network resources for …

A learning-based measurement framework for traffic matrix inference in software defined networks

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

BM Bowen, PV Prabhu, VP Kemerlis… - US Patent …, 2018 - Google Patents
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 …

Impact of cyber dependencies in critical infrastructures: The reliability of grid splitting in power systems

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 …

Oblivious routing in ip networks

M Chiesa, G Rétvári, M Schapira - IEEE/ACM Transactions on …, 2018 - ieeexplore.ieee.org
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 …