Intelligent Solar Energy Devices Cybersecurity System

Title: Intelligent Solar Energy Devices Cybersecurity System

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Abstract

An advanced tool to improve the cybersecurity of electronic devices associated with the generation of solar energy such as inverters, DC-DC optimizers, and smart meters is needed. This tool should ensure access-control, authorization, authentication, confidentiality, integrity, availability, and non-repudiation for the future smart grid as well. To address this need, Physical Optics Corporation (POC) has completed a Phase I Small Business Innovative Research (SBIR) project: the Intelligent Solar Energy Devices Cybersecurity (ISEDEC) software tool. ISEDEC is based on an integration of (1) POC’s semi-supervised decision-making mechanism that provides self-learning capabilities, (2) cognitive data analytics for anomaly detection/prediction based on an agglomerative clustering (bottom-up) approach, and (3) POC’s low-complexity deep machine learning (DL) models that operate on four layers of an Open Systems Interconnection (OSI) model at each control level of the industrial control system (ICS) providing anomaly detection/ classification/reporting. This integration provides the artificial intelligence needed to prevent, detect, analyze, categorize, and mitigate cyber threats and device failures in real time, allowing solar energy systems and devices to adapt to and survive cyberattacks and continue normal operations. During Phase I, the overall architecture of intelligent intrusion/anomaly detection/prevention system, the framework design, and algorithms were developed. The feasibility of the approachmore »« less

Authors:: Milovanov, Alexander

Publication Date:: 2019-04-15

Research Org.:: Physical Optics Corporation

Sponsoring Org.:: USDOE Office of Science (SC)

OSTI Identifier:: 1507021

Report Number(s):: DOE-POC-0018827
10198

DOE Contract Number:: SC0018827

Type / Phase:: SBIR (Phase I)

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: Cybersecurity, solar energy, intrusion detection, intrusion prevention, industrial control systems, machine learning, smart grid

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                    Milovanov, Alexander. Intelligent Solar Energy Devices Cybersecurity System.  United States: N. p., 2019. 
        Web.

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                    Milovanov, Alexander. Intelligent Solar Energy Devices Cybersecurity System.  United States.

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                    Milovanov, Alexander. Mon .  
        "Intelligent Solar Energy Devices Cybersecurity System".  United States.

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@article{osti_1507021,

  title        = {Intelligent Solar Energy Devices Cybersecurity System},

  author       = {Milovanov, Alexander},

  abstractNote = {An advanced tool to improve the cybersecurity of electronic devices associated with the generation of solar energy such as inverters, DC-DC optimizers, and smart meters is needed. This tool should ensure access-control, authorization, authentication, confidentiality, integrity, availability, and non-repudiation for the future smart grid as well. To address this need, Physical Optics Corporation (POC) has completed a Phase I Small Business Innovative Research (SBIR) project: the Intelligent Solar Energy Devices Cybersecurity (ISEDEC) software tool. ISEDEC is based on an integration of (1) POC’s semi-supervised decision-making mechanism that provides self-learning capabilities, (2) cognitive data analytics for anomaly detection/prediction based on an agglomerative clustering (bottom-up) approach, and (3) POC’s low-complexity deep machine learning (DL) models that operate on four layers of an Open Systems Interconnection (OSI) model at each control level of the industrial control system (ICS) providing anomaly detection/ classification/reporting. This integration provides the artificial intelligence needed to prevent, detect, analyze, categorize, and mitigate cyber threats and device failures in real time, allowing solar energy systems and devices to adapt to and survive cyberattacks and continue normal operations. During Phase I, the overall architecture of intelligent intrusion/anomaly detection/prevention system, the framework design, and algorithms were developed. The feasibility of the approach was demonstrated by assembling, testing, and evaluating the technology readiness level (TRL)-4 prototype. Testing and evaluation results demonstrated the capability of ISEDEC to effectively defend solar energy systems and their electronic devices against known and new attacks in real time, resulting in a powerful intelligent intrusion detection/prevention software tool.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1507021},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2019},

  month        = {4}

}

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