Adaptive Admission Control for a Smart Grid FiWi Communications Network Facing Power Blackouts during a DDoS Attack

Author(s):  
Martin Levesque ◽  
Martin Maier ◽  
Yash Desai ◽  
Geza Joos
Author(s):  
Paul Moulema ◽  
Sriharsha Mallapuram ◽  
Wei Yu ◽  
David Griffith ◽  
Nada Golmie ◽  
...  
Keyword(s):  

Author(s):  
Maryam Ghanbari ◽  
Witold Kinsner

Distributed denial-of-service (DDoS) attacks are serious threats to the availability of a smart grid infrastructure services because they can cause massive blackouts. This study describes an anomaly detection method for improving the detection rate of a DDoS attack in a smart grid. This improvement was achieved by increasing the classification of the training and testing phases in a convolutional neural network (CNN). A full version of the variance fractal dimension trajectory (VFDTv2) was used to extract inherent features from the stochastic fractal input data. A discrete wavelet transform (DWT) was applied to the input data and the VFDTv2 to extract significant distinguishing features during data pre-processing. A support vector machine (SVM) was used for data post-processing. The implementation detected the DDoS attack with 87.35% accuracy.


Inventions ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 22 ◽  
Author(s):  
Alireza Ghasempour

Internet of Things (IoT) is a connection of people and things at any time, in any place, with anyone and anything, using any network and any service. Thus, IoT is a huge dynamic global network infrastructure of Internet-enabled entities with web services. One of the most important applications of IoT is the Smart Grid (SG). SG is a data communications network which is integrated with the power grid to collect and analyze data that are acquired from transmission lines, distribution substations, and consumers. In this paper, we talk about IoT and SG and their relationship. Some IoT architectures in SG, requirements for using IoT in SG, IoT applications and services in SG, and challenges and future work are discussed.


Author(s):  
Anitha. A

Transformation to Smart Grid needs proper design of good communication and monitoring infrastructure for the Smart meters as well as understanding the power use pattern of the individual users for providing them uniform power supply as per the individual consumer’s requirement.In the proposed system, the meter monitors and calculates the power and if the consumer exceeds the prescribed load limit it alarms. In case the consumer does not reduce his load meter automatically it cuts off the particular loads in consumer connection. GSM communications network are used to transfer electricity consumed data to the consumer as per programmed in the Arduino kit.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 3776-3783

A Smart Grid is the advancement for power matrix with utilization of correspondence innovation with number of powerful meters which are interconnected and two-way data / information flows and has the main goals is to the active participants of consumers to improve quality and reliability of energy usage as for reducing energy consumption and provide increasing reliability as communication between smart meters and consumers. Basically, Smart Grid is working with distributed system manner, and create a network infrastructure as Advanced Metering Infrastructure (AMI) with number of different smart meter. This AMI network includes NAN (Neighbourhood Area Network), have connected with number of smart meters (as wired / wireless) connections with repeater / router as commonly name as Gateway collector which collets the all the consumers information’s and send to the Utility centre. The flow of information as energy usages and power in smart grids is bidirectional which is controlled with the help of software and supporting hardware. Here, with using of Optimized Network Engineering Tools (OPNET) Modeler is one of the most dominant simulation tools for the analysis of communication networks. In this paper, the number of smart meters is connected and create an AMI networks were developed with network parameters which related to different communication as wireless for the compute the different network parameters with respect to the time where data transfer and DDoS attack to the network. The security aspect as detect the DDoS attack to the AMI network and provide a guideline to the future of AMI network where escape strange challenges faced by Distribution companies. Here, in this paper the progressed metering foundation (AMI), which is one of the savvy framework's application regions where make a proving ground and arrangement in the OPNET for assessed the exhibition and power the board model for the framework


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