Digital data provenance for the power grid based on a Keyless Infrastructure Security Solution

Sebastian-Cardenas, D.; Gourisetti, Sri Nikhil Gupta; Mylrea, Michael; Moralez, Anthony; Day, Graham; Tatireddy, Vinod; Allwardt, Craig; Singh, Rajveer; Bishop, Randy; Kaur, Kudrat; Plummer, Judah; Raymond, Gabby; Johnson, Becky; Chawla, A.

doi:10.1109/rws52686.2021.9611800

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…Many researchers have discovered various scientific phenomena/data, and many studies have been reported [48][49][50][51][52][53][54] . Researchers have conducted investigations and have expanded the knowledge on this subject by referring to the results in the literature [55][56][57][58][59] .…”

Section: Energy Blockchainmentioning

confidence: 99%

Fundamental theory on multiple energy resources and related case studies

Jin

2023

Sci Rep

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Herein, I methodically optimize a distributed energy resource in terms of the production, management, utilization, and/or transaction of renewable energies during the deployment process. I deliver a theoretical mathematical model that allows users to visualize three critical output functions of their energy preference, including output power, energy economy, and carbon footprint. The model delivers three eigenstates derived by a power utility matrix (PUM) model. PUM transforms three-input parameters (3i) into three-output functions (3o) through 3i3o-transformation. It is ubiquitous, and its systematic characterization is discussed. Moreover, I discover a mathematical conversion relationship translating energy generation to carbon emissions. Various case-studies demonstrate the optimal energy resource utilization. Furthermore, an energy blockchain approach is employed for microgrid design, development, and carbon reduction. Finally, the authors demonstrate the energy–matter conversion relationship that improves carbon emissions for energy production, reducing the beta factor of carbon emissions to 0.22 kg/kilowatt hour for carbon peak and to zero for carbon neutrality.

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Section: Energy Blockchainmentioning

confidence: 99%

Fundamental theory on multiple energy resources and related case studies

Jin

2023

Sci Rep

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“…As intelligent devices and SCADA systems are used in highly critical domains such as power, water, and nuclear plants, malicious actions can have catastrophic consequences if they succeed [16] [17]. The impact of cyberattacks can range from loss of revenue to power outages and possibly nuclear disasters, as the Ukrainian power plant incident [18] [19] and STUXNET [20][21] [22] have indicated in the past.…”

Section: Introductionmentioning

confidence: 99%

Risk Analysis of DNP3 Attacks

Kelli

Radoglou-Grammatikis

Λάγκας

et al. 2022

2022 IEEE International Conference on Cyber Security and Resilience (CSR)

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The integration of intelligent devices in the industry allows the automation and control of industrial processes, in an efficient and effective manner. Such systems have contributed to the rapid evolution of production infrastructures, increasing the reliability, reducing production costs, and automating the entire manufacturing operations. However, the utilization of intelligent devices has led to an increased attack surface in critical infrastructures, threatening to compromise regular operations. Attacks against such environments can have disastrous consequences in case their goal is achieved, due to the critical nature of such infrastructures. Thus, the timely identification of vulnerable spots through high-quality risk assessment, is considered highly important for avoiding or mitigating potential risks. In this paper, we focus on Distributed Network Protocol 3 (DNP3), a protocol with high utility in smart grids. Specifically, we investigate, identify and describe the vulnerabilities-by-design of DNP3 through 8 DNP3-centered cyberattacks. In addition, we present a novel method for conducting risk assessment, stemming from the combination of two techniques, namely, Attack Defence Trees (ADTs) and Common Vulnerability Scoring System v3.1 (CVSS). Through our proposed technique, the risk of a cyberattack occurring is calculated, thus contributing in securing the critical infrastructure.

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“…Attacks against CI can have disastrous consequences as past incidents have indicated [14] [15] [16]. Specifically, a cyber incident in 2015 targeting Ukraine's power grid resulted in a complete black-out for almost 225,000 people [17] [18]. Furthermore, STUXNET is considered to be the biggest cybersecurity incident to have ever occurred, since it targeted and succeeded in causing malfunctions in Iran's nuclear facilities [19] [20] [21].…”

Section: Introductionmentioning

confidence: 99%

Attacking and Defending DNP3 ICS/SCADA Systems

Kelli

Radoglou-Grammatikis

Sesis³

et al. 2022

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)

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The highly beneficial contribution of intelligent systems in the industrial domain is undeniable. Automation, supervision, remote control, and fault reduction are some of the various advantages new technologies offer. A protocol demonstrating high utility in industrial settings, and specifically, in smart grids, is Distributed Network Protocol 3 (DNP3), a multi-tier, application layer protocol. Notably, multiple industrial protocols are not as securely designed as expected, considering the highly critical operations occurring in their application domain. In this paper, we explore the internal vulnerabilities-by-design of DNP3, and proceed with the implementation of the attacks discovered, demonstrated through 8 DNP3 attack scenarios. Finally, we design and demonstrate a Deep Neural Network (DNN)-based, multi-model Intrusion Detection Systems (IDS), trained with our experimental network flow cyberattack dataset, and compare our solution with multiple machine learning algorithms used for classification. Our solution demonstrates a high efficiency in the classification of DNP3 cyberattacks, showing an accuracy of 99.0%.

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Digital data provenance for the power grid based on a Keyless Infrastructure Security Solution

Cited by 6 publications

References 13 publications

Fundamental theory on multiple energy resources and related case studies

Fundamental theory on multiple energy resources and related case studies

Risk Analysis of DNP3 Attacks

Attacking and Defending DNP3 ICS/SCADA Systems

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