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Network management

About: Network management is a research topic. Over the lifetime, 17859 publications have been published within this topic receiving 234520 citations. The topic is also known as: computer network management & NM.


Papers
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Journal ArticleDOI
TL;DR: In this article, a taxonomy of advantages of SDN-based smart grid communication (SGC) systems is presented, along with case studies and a detailed survey of security and privacy schemes applied to SDNbased SGC.
Abstract: The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid also known as, smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication (SGC) system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SGC system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. By separating the control plane from the data plane, SDN helps the network operators to manage the network flexibly. Since SG heavily relies on communication networks, therefore, SDN has also paved its way into the SG. By applying SDN in SG systems, efficiency and resiliency can potentially be improved. SDN, with its programmability, protocol independence, and granularity features, can help the SG to integrate different SG standards and protocols, to cope with diverse communication systems, and to help SG to perform traffic flow orchestration and to meet specific SG quality of service requirements. This paper serves as a comprehensive survey on SDN-based SGC. In this paper, we first discuss taxonomy of advantages of SDN-based SGC. We then discuss SDN-based SGC architectures, along with case studies. This paper provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC.

133 citations

Patent
02 Sep 1997
TL;DR: In this article, the authors present a method and system for managing a distributed directory service, which includes defining a plurality of objects operative to maintain information about partitions in a MIB, implementing the MIB in an agent, and loading the agent on a managed server.
Abstract: A method and system for managing a distributed directory service. The method includes defining a plurality of objects operative to maintain information about a plurality of partitions in a MIB, implementing the MIB in an agent, loading the agent on a managed server, interfacing the agent with a directory service, and sending a management request from a management station to the agent to access one of the objects. The MIB maintains information about each partition on the managed server, and allows access to such information through conventional network management software.

132 citations

Proceedings ArticleDOI
01 Aug 2020
TL;DR: DDoSNet is proposed, an intrusion detection system against DDoS attacks in SDN environments based on Deep Learning (DL) technique, combining the Recurrent Neural Network (RNN) with autoencoder, which achieves a significant improvement in attack detection, as compared to other benchmarking methods.
Abstract: Software-Defined Networking (SDN) is an emerging paradigm, which evolved in recent years to address the weaknesses in traditional networks. The significant feature of the SDN, which is achieved by disassociating the control plane from the data plane, facilitates network management and allows the network to be efficiently programmable. However, the new architecture can be susceptible to several attacks that lead to resource exhaustion and prevent the SDN controller from supporting legitimate users. One of these attacks, which nowadays is growing significantly, is the Distributed Denial of Service (DDoS) attack. DDoS attack has a high impact on crashing the network resources, making the target servers unable to support the valid users. The current methods deploy Machine Learning (ML) for intrusion detection against DDoS attacks in the SDN network using the standard datasets. However, these methods suffer several drawbacks, and the used datasets do not contain the most recent attack patterns - hence, lacking in attack diversity. In this paper, we propose DDoSNet, an intrusion detection system against DDoS attacks in SDN environments. Our method is based on Deep Learning (DL) technique, combining the Recurrent Neural Network (RNN) with autoencoder. We evaluate our model using the newly released dataset CICDDoS2019, which contains a comprehensive variety of DDoS attacks and addresses the gaps of the existing current datasets. We obtain a significant improvement in attack detection, as compared to other benchmarking methods. Hence, our model provides great confidence in securing these networks.

132 citations

Patent
12 Aug 1991
TL;DR: In this paper, a Network Management Control System for a multi-space building having individual space heating and cooling units in each space that ties the individual heating/cooling units together with a central computer which allows the remote computer to interrogate and overwrite parameters set at each local heating/ cooling unit.
Abstract: A Network Management Control System for a multi-space building having individual space heating and cooling units in each space that ties the individual heating and cooling units together with a central computer which allows the remote computer to interrogate and overwrite parameters set at each local heating and cooling unit.

131 citations

Patent
David Cleary1, Boris Danev1
05 Dec 2005
TL;DR: In this article, the authors present a method for network management comprising configuration of control protocols between network elements in a network represented through a current, static, network element object model comprising a number of managed objects with attributes and instances and representing resources.
Abstract: The present invention relates to a method for network management comprising configuration of control protocols between network elements in a network represented through a current, static, network element object model comprising a number of managed objects with attributes and instances and representing resources. It comprises the steps of : transforming the current network element object model to a machine readable and executable formal network element object model; identifying configuration tasks needed for the configuration of the relevant control protocols; modelling a formal configuration task model using information about the configuration tasks and the formal network element object model; building a formal configuration workflow model using the formal network element object model and the formal configuration task model, said formal configuration workflow model defining the relationships between different configuration tasks required for performing or completing a number of given actions or to achieve a number of given goals.

131 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202348
2022147
2021446
2020649
2019774
2018842