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Data-driven Approach for State Prediction and Detection of False Data Injection Attacks in Smart Grid

Journal of Modern Power Systems and Clean Energy 2023年第2期11卷 455-467页

作者： Haftu Tasew Reda Adnan Anwar Abdun Mahmood naveen chilamkurti Department of Computer Science and IT La Trobe UniversityBundooraVIC 3086Australia School of IT Deakin UniversityWaurn PondsVIC 3216Australia

In a smart grid,state estimation(SE)is a very important component of energy management *** main functions include system SE and detection of cyber ***,it has been shown that conventional SE techniques are vulnerable to false data injection(FDI)attack,which is a sophisticated new class of attacks on data integrity in smart *** main contribution of this paper is to propose a new FDI attack detection technique using a new data-driven SE model,which is different from the traditional weighted least square based SE *** SE model has a number of unique advantages compared with traditional SE ***,the prediction technique can better maintain the inherent temporal correlations among consecutive measurement ***,the proposed SE model can learn the actual power system ***,this paper shows that this SE model can be effectively used to detect FDI attacks that otherwise remain stealthy to traditional SE-based bad data *** proposed FDI attack detection technique is evaluated on a number of standard bus *** performance of state prediction and the accuracy of FDI attack detection are benchmarked against the state-ofthe-art *** results show that the proposed FDI attack detection technique has a higher detection rate compared with the existing techniques while reducing the false alarms significantly.

关键词： Data-driven false data injection machine learning power system security state estimation smart grid

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Real-Time Multimodal Biometric Authentication of Human Using Face Feature Analysis

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Computers, Materials & Continua 2021年第10期69卷 1-19页

作者： Rohit Srivastava Ravi Tomar Ashutosh Sharma Gaurav Dhiman naveen chilamkurti Byung-Gyu Kim University of Petroleum and Energy Studies DehradunIndia Lovely Professional University India Government Bikram College of Commerce Patiala147001PunjabIndia La Trobe University MelbourneAustralia Sookmyung Women’s University Seoul04310Korea

As multimedia data sharing increases,data security in mobile devices and its mechanism can be seen as *** combines the physiological and behavioral qualities of an individual to validate their character in *** incorporate physiological attributes like a fingerprint,face,iris,palm print,finger knuckle print,Deoxyribonucleic Acid(DNA),and behavioral qualities like walk,voice,mark,or *** main goal of this paper is to design a robust framework for automatic face *** Invariant Feature Transform(SIFT)and Speeded-up Robust Features(SURF)are employed for face ***,we propose a modified Gabor Wavelet Transform for SIFT/SURF(GWT-SIFT/GWT-SURF)to increase the recognition accuracy of human *** proposed scheme is composed of three ***,the entropy of the image is removed using Discrete Wavelet Transform(DWT).Second,the computational complexity of the SIFT/SURF is ***,the accuracy is increased for authentication by the proposed GWT-SIFT/GWT-SURF algorithm.A comparative analysis of the proposed scheme is done on real-time Olivetti Research Laboratory(ORL)and Poznan University of Technology(PUT)*** compared to the traditional SIFT/SURF methods,we verify that the GWT-SIFT achieves the better accuracy of 99.32%and the better approach is the GWT-SURF as the run time of the GWT-SURF for 100 images is 3.4 seconds when compared to the GWT-SIFT which has a run time of 4.9 seconds for 100 images.

关键词： Biometrics real-time multimodal biometrics real-time face recognition feature analysis

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STABILITY AND FAIRNESS ISSUES IN MULTICAST CONGESTION CONTROL ALGORITHMS WITH MULTIMEDIA TRAFFIC

STABILITY AND FAIRNESS ISSUES IN MULTICAST CONGESTION CONTRO...

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2002年IEEE十区计算机、通信、控制和电机工程会议

作者： naveen K chilamkurti Ben Soh Applied Computing Research Center La Trobe Unitersity.Melbourne Australia-3086 Applied Computing Research Center La Trobe Unitersity.Melbourne Australia-3086

STAIR is a multicast congestion control algorithminvolving both cumulative and non-cumlative *** stair layer is the main advanege of the STAIRalgorithm, as it does not need IGMP messages to reducethe control traffic for the purpose of congestion *** this paper we simulated STAIR with multimediatraffic to measure stability, fairness, scalability, andheterogeneity. Our simulation results clearly concludethat STAIR exhibits a high degree of fairness for CBRtraffic but shows unfairness in the case of VBR traffic

关键词： CBR STABILITY AND FAIRNESS ISSUES IN MULTICAST CONGESTION CONTROL ALGORITHMS WITH MULTIMEDIA TRAFFIC

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Adaptive Forward Error Correction with Cognitive Technology Mechanism for Video Streaming over Wireless Networks

Adaptive Forward Error Correction with Cognitive Technology ...

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2010 International Symposium on Computer,Communication, Control and Automation

作者： Hsiung-Yu Huang Tzu-Chi Huang naveen chilamkurti Rung-Shiang Cheng Ce-Kuen Shieh Institute of Computer and Communication Engineering NCKU Dept.of Electronic Engineering Lunghwa University of Science and Technology Dept.of Computer Science and Computer Engineering La Trobe University Melbourne Dept of Computer and Communication Kun Shan University Institute of Computer and Communication Engineering Dept of EENCKU

ISBN: (纸本)9781424455652;9781424455669

Video streaming over wireless networks presents challenges associated with high packet loss rate *** lost transmission packets limit video streaming quality on the *** Forward Error Correction(FEC) mechanism has been proposed to recover lost ***,the FEC mechanism has to inject redundancy ***,congestion packet losses become critical when available bandwidth is *** propose an Adaptive Forward Error Correction with Cognitive technology(AFECC) mechanism to solve this *** AFECC mechanism uses cognitive technology to use frequency only when this does not incur interference or conflicts with *** AFECC utilizes a mathematical analytical model from which the appropriate FEC redundancy is *** AFECC mechanism does not have any self-induced congestion effects which can otherwise impede the timely recovery of video *** experimental results show that the AFECC mechanism outperforms conventional adaptive FEC mechanisms in reduced packet loss rate,increased throughput and higher Peak Signal to Noise Ratio(PSNR),

关键词： Cognitive Technology Forward Error Correction Video Streaming.

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