Statistical Methods for Detection and Mitigation of the Effect of
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: Statistical Methods for Detection and Mitigation of the Effect of
Statistical Methods for Detection and Mitigation of the Effect of
WestVirginiaUniversity THE RESEARCH REPOSITORY © wvuGraduate Theses, Dissertations, and Problem Reports2014Statistical Methods for Detection and Mitig Statistical Methods for Detection and Mitigation of the Effect ofgation of the Effect of Different Types of Cyber-Attacks and Inconsistencies in Electrical Design Parameters in a Real World Distribution SystemVivek JoshiFollow this and additional works at: https://researchrepository.wvu.edu/etdRecommended CitationJoshi, Vivek. Statistical Methods for Detection an Statistical Methods for Detection and Mitigation of the Effect ofd Mitigation of the Effect of Different Types of CyberAttacks and Inconsistencies in Electrical Design Parameters in a Real World Distribution System"Statistical Methods for Detection and Mitigation of the Effect of
(2014). Graduate Theses. Dissertations, and Problem Reports. 7099.https://researchrepositoryAwu.edu/etd/7099This Thesis IS protected by copyright andWestVirginiaUniversity THE RESEARCH REPOSITORY © wvuGraduate Theses, Dissertations, and Problem Reports2014Statistical Methods for Detection and Mitig Statistical Methods for Detection and Mitigation of the Effect ofs Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you must obtain permission from the rghts-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. Statistical Methods for Detection and Mitigation of the Effect ofThis Thesis has been accepted for inclusion in wvu Graduate Theses. Dissertations, and Problem Reports collection by an authorized administrator of ThStatistical Methods for Detection and Mitigation of the Effect of
e Research Repository @ wvu. For more information, please contact researchrepository©mail Vivu.edu.Statistical Methods for Detection and Mitigation ofWestVirginiaUniversity THE RESEARCH REPOSITORY © wvuGraduate Theses, Dissertations, and Problem Reports2014Statistical Methods for Detection and Mitig Statistical Methods for Detection and Mitigation of the Effect ofsis submitted to theBenjamin M. Statler College of Engineering and Mineral Resources at West Virginia University in partial fulfillment of the requirements for the degree of Master of Science inElectrical EngineeringDr. Jignesh Solanki. Ph.D.. ChairDr. Sarika Khushalani Solanki. Ph.D.Dr. Radhey Shan Statistical Methods for Detection and Mitigation of the Effect ofna, Ph.D.Lane Department of Computer Science and Electrical Engineering Morgantown. West Virginia 2014Keywords: Distribution System. Capacitor ControlStatistical Methods for Detection and Mitigation of the Effect of
. DG. MLR. System modelling parameter inconsistencies. Deception Attack. Load RedistributionAttack. OpenDSS.Copyright 2014 Vivek JoshiABSTRACTStatistiWestVirginiaUniversity THE RESEARCH REPOSITORY © wvuGraduate Theses, Dissertations, and Problem Reports2014Statistical Methods for Detection and Mitig Statistical Methods for Detection and Mitigation of the Effect ofl World DistributionSystemVivek JoshiMaster of Science in Electrical EngineeringBest Virginia UniversityAdvisor: Dr. Jignesh Solanki, Ph.D.In the present grid real time control systems are the energy management systems and distribution management systems that utilize measurements from real-time unit Statistical Methods for Detection and Mitigation of the Effect ofs (RTUs) and Supervisory Control and Data Acquisition (SC ADA). The sc ADA systems arc designed to operate on isolated, private networks without evenStatistical Methods for Detection and Mitigation of the Effect of
basic security features which are now being migrated to modem IP-based communications providing near real time information from measuring and controllWestVirginiaUniversity THE RESEARCH REPOSITORY © wvuGraduate Theses, Dissertations, and Problem Reports2014Statistical Methods for Detection and Mitig Statistical Methods for Detection and Mitigation of the Effect of as targets for cyber-attacks to cripple either part of the electric transmission grid or fully shut down (create blackout) the grid. Cyber-security research for a distribution grid is a topic yet to be addressed. To date firewalls and classic signature-based intrusion detection systems have provide Statistical Methods for Detection and Mitigation of the Effect ofd access control and awareness of suspicious network traffic but typically have not offered any real-time detection and defense solutions for electricStatistical Methods for Detection and Mitigation of the Effect of
distribution grids.This thesis work not only addresses the cyber security modeling, detection and prevention but also addresses model inconsistenciesWestVirginiaUniversity THE RESEARCH REPOSITORY © wvuGraduate Theses, Dissertations, and Problem Reports2014Statistical Methods for Detection and Mitig Statistical Methods for Detection and Mitigation of the Effect oftwork or cyber-attack conditions may result in failing of the automated operations or distribution state estimation process which might lead the system to a catastrophic condition or give erroneous solutions for the probable problems. This research work also develops a robust and reliable voltage co Statistical Methods for Detection and Mitigation of the Effect ofntroller based on Multiple Linear Regression (MLR) to maintain the voltage profile in a smart distribution system under cyber-attacks and model inconsStatistical Methods for Detection and Mitigation of the Effect of
istencies. The developed cyber-attack detection and mitigation algorithms have been tested on IF.FF 13 node and 600 node real American electric distriWestVirginiaUniversity THE RESEARCH REPOSITORY © wvuGraduate Theses, Dissertations, and Problem Reports2014Statistical Methods for Detection and Mitig Statistical Methods for Detection and Mitigation of the Effect of my advisor. Dr. Jignesh Solanki. for his invaluable guidance, support, and encouragement. I thank Dr. Jignesh for believing in me that I can accomplish this goal with hard work and sincere effort. I thank him for providing me that confidence which lead to completion of this research work. Next, I w Statistical Methods for Detection and Mitigation of the Effect ofould like to thank my second committee member Dr. Sarika Khushalani Solanki. It was from her that I learned the difference between mere hard work andStatistical Methods for Detection and Mitigation of the Effect of
hard work with focus and dedication. Both Dr. Sarika Khushalani Solanki and Dr. Jignesh Solanki have been with me. guiding me throughout my two years WestVirginiaUniversity THE RESEARCH REPOSITORY © wvuGraduate Theses, Dissertations, and Problem Reports2014Statistical Methods for Detection and Mitig Statistical Methods for Detection and Mitigation of the Effect ofthesis.WestVirginiaUniversity THE RESEARCH REPOSITORY © wvuGraduate Theses, Dissertations, and Problem Reports2014Statistical Methods for Detection and MitigGọi ngay
Chat zalo
Facebook