Real-time signal time delay analysis of WAMS based on MPLS VPN technology

Sun, Fuchun; Qi, Qi; Fan, Jieqing

doi:10.1109/apap.2011.6180968

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Data from all hosts can be pooled into one server, allowing all subscribers to access large amounts of data and services. However, the internet as a public network poses a significant challenge in terms of data security, and past research has employed standard formats for virtual private networks (VPNs) to ensure the security of data over public networks [4]- [6]. However, these approaches typically secure all types of applications using the same paradigm.…”

Section: Introductionmentioning

confidence: 99%

Malicious attacks modelling: a prevention approach for ad hoc network security

Talib

Alothman

Mohammed

2023

IJEECS

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As a result of the expansions that have taken place in the field of networking and the increase in the number of users of networks, there have recently been breakthroughs made in the techniques and methods used for network security. In this paper, a virtual private network (VPN) is proposed as a means of providing the necessary level of security for particular connections that span across vast networks. After the network performance metrics such as time delay and throughput have been accomplished, the suggested VPN is recommended for the purpose of assuring network security. In addition, artificial intelligence attack predictors and virtual private networks have been implemented with the purpose of preventing harmful activity within such connections. Using a wide variety of machine learning methods like Random Forests and Nave Bays, malicious assaults of any kind can be identified and thwarted in their tracks. Another technique for anticipating attacks is the use of an artificial neural network, which is a type of system that engages in deep learning and learns the behaviors of attacks while it is being trained so that it can then predict attacks. The results of this study demonstrate that the use of machine learning and artificial intelligence techniques can significantly improve the security and performance of virtual private networks and can effectively identify and prevent malicious attacks on networks.

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Section: Introductionmentioning

confidence: 99%

Malicious attacks modelling: a prevention approach for ad hoc network security

Talib

Alothman

Mohammed

2023

IJEECS

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Performance evaluation of MPLS-enabled communications infrastructure for wide area monitoring systems

Golshani

Taylor

Ashton

2015

11th IET International Conference on AC and DC Power Transmission

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In order to obtain the transient power system measurement information, Wide Area Monitoring Systems (WAMS) should be able to collect Phasor Measurement Unit (PMU) data in a timely manner. Therefore along with the continual deployment of PMUs in Great Britain (GB) transmission system substations, a high performance communications infrastructure is becoming essential with regard to the establishment of reliable WAMS. This paper focuses mainly on evaluating the performance of the real-time WAMS communication infrastructure when Multi-Protocol Label Switching (MPLS) capability is added to a conventional IP network.Furthermore, PMU communications from geographically distributed substations to a Phasor Data Concentrator (PDC) are investigated over different transport protocols. Using OPNET Modeler, simulations are performed based on the existing WAMS infrastructure as installed on the GB transmission system. The simulation results are analyzed in detail in order to fully determine the different characteristics of communication delays between PMUs and PDC.

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Real-time signal time delay analysis of WAMS based on MPLS VPN technology

Cited by 2 publications

References 5 publications

Malicious attacks modelling: a prevention approach for ad hoc network security

Malicious attacks modelling: a prevention approach for ad hoc network security

Performance evaluation of MPLS-enabled communications infrastructure for wide area monitoring systems

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