2021 Resilience Week (RWS)最新文献_第3页

Hierarchical Operation of Flexible Building Microgrids for Distributed Critical Loads Resiliency 面向分布式临界负荷弹性的柔性建筑微电网分层运行

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611816

M. Chamana, K. Schmitt, Rabindra Bhatta, Ilham Osman, Sanka Liyanage, M. Murshed, S. Bayne, Joshua Macfie

引用次数: 0

Refueling Delay Models in Heterogenous Road Networks for Wireless Communications Base Station Gensets Operating in Extreme Conditions 极端条件下无线通信基站机组异构道路网络加油延迟模型

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611799

V. Krishnamurthy, A. Kwasinski

{"title":"Refueling Delay Models in Heterogenous Road Networks for Wireless Communications Base Station Gensets Operating in Extreme Conditions","authors":"V. Krishnamurthy, A. Kwasinski","doi":"10.1109/RWS52686.2021.9611799","DOIUrl":"https://doi.org/10.1109/RWS52686.2021.9611799","url":null,"abstract":"This paper presents models for calculating travel delays in heterogeneous road networks in extreme conditions. The models are developed to facilitate the calculation of fuel delivery and restoration delays in wireless communications base stations and other system nodes requiring electric power. The travel delay is calculated by representing road networks as spatial graphs whose attributes are modified by an extreme event. Travel delays are random and are characterized by a triangular distribution whose parameters, namely minimum, mode and maximum, are calculated using the developed models. Each road segment or edge's travel time is a function of its length and the type of road. The type of road is characterized by its speed limit. The travel delays to each cell site is calculated assuming that the crew and fuel trucks originate on the boundary of the analyzed region. A nuclear attack is used as an example of extreme event to exemplify the models. Results indicate that type of road, path choice and subsequent congestion post extreme event can have significant impacts on the spatial distribution of delays.","PeriodicalId":294639,"journal":{"name":"2021 Resilience Week (RWS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128967653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modular Network Stacks in the Real- Time Executive for Multiprocessor Systems 多处理器系统实时执行中的模块化网络堆栈

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611788

Vijay Banerjee, Sena Hounsinou, Harrison Gerber, Gedare Bloom

引用次数: 0

On the Limits of EM Based Detection of Control Logic Injection Attacks In Noisy Environments 噪声环境下基于EM的控制逻辑注入攻击检测的局限性

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611805

Kurt Vedros, Georgios Michail Makrakis, C. Kolias, Min Xian, Daniel Barbará, C. Rieger

{"title":"On the Limits of EM Based Detection of Control Logic Injection Attacks In Noisy Environments","authors":"Kurt Vedros, Georgios Michail Makrakis, C. Kolias, Min Xian, Daniel Barbará, C. Rieger","doi":"10.1109/RWS52686.2021.9611805","DOIUrl":"https://doi.org/10.1109/RWS52686.2021.9611805","url":null,"abstract":"The difficulty in applying traditional security mechanisms in Industrial Control System (ICS) environments makes a large portion of these mission-critical assets vulnerable to cyber attacks. Therefore, there is a dire need for the development of novel security mechanisms specifically designed to protect such critical systems. Recently a lot of attention has been given to mechanisms that exploit the EM emanations of devices for defense purposes. Such practices may lead to the development of robust external and non-intrusive anomaly detection systems. Nevertheless, the majority of current work in the area neglects to consider the implications of real-life environments, particularly environmental noise. In this work, we explore the limits of EM-based anomaly detection towards identifying injection attacks in control logic software in noisy environments. Our study conducted upon both synthetically generated and real signals identified that indeed environmental noise might significantly degrade the accuracy of the anomaly detection process. Experiments done upon synthetic data indicated that assuming that signals are captured with high sampling rates, even minor code injections can be detected with above-90% accuracy in noisy environments where SNR is up to −2dB. This is true even if naive detection methods are considered. Moreover, experiments done using a real-life testbed attest that even single-instruction injections can be detected with near-perfect accuracy in relatively clean environments. Finally, noise-elimination techniques can drastically improve the reliability of the detection mechanism even in noisy environments.","PeriodicalId":294639,"journal":{"name":"2021 Resilience Week (RWS)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133493839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Applying Utility's Advanced Grid Technologies to Improve Resiliency of a Critical Load 应用公用事业公司的先进电网技术提高关键负荷的弹性

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611785

C. Vartanian, Clay Koplin, Trever Kudrna, W. Clark, Daniel R. Borneo, Jaime T. Kolln, Daisy Huang, F. Tuffner, M. Panwar, Emma E. Stewart, Lauren Khair

{"title":"Applying Utility's Advanced Grid Technologies to Improve Resiliency of a Critical Load","authors":"C. Vartanian, Clay Koplin, Trever Kudrna, W. Clark, Daniel R. Borneo, Jaime T. Kolln, Daisy Huang, F. Tuffner, M. Panwar, Emma E. Stewart, Lauren Khair","doi":"10.1109/RWS52686.2021.9611785","DOIUrl":"https://doi.org/10.1109/RWS52686.2021.9611785","url":null,"abstract":"The US DOE Office of Electricity's Energy Storage Program's joint R&D work with the Cordova Electric Cooperative (CEC) has deployed several advanced grid technologies that are providing benefits today to Cordova Alaska's electricity users. Advanced grid technologies deployed through DoE co-funded R&D include a 1MW Battery Energy Storage System (BESS), and enhanced monitoring including Phasor Measurement Units (PMU's) to help better understand the operational impacts of the added BESS. This paper will highlight key accomplishments to-date in deploying and using advanced grid technologies, and then outline the next phase of work that will use these technologies to implement an operating scheme to reconfigure the utility's distribution system and utility resources including BESS to provide emergency back-up power to a critical load: the Cordova Community Medical Center (CCMC). This paper will include additional insights on the use of utility resources to support critical loads via case study examples by the National Rural Electric Cooperative Assoc. (NRECA).","PeriodicalId":294639,"journal":{"name":"2021 Resilience Week (RWS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127095684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Resilient Electric Distribution Systems for Remote Communities: Surgical Load Management using Smart Meters 偏远社区弹性配电系统的设计:使用智能电表的外科负荷管理

2021 Resilience Week (RWS) Pub Date : 2021-10-18 DOI: 10.1109/RWS52686.2021.9611791

M. Panwar, R. Hovsapian, Fathalla Eldali, Tony Thomas, Clay Koplin

引用次数: 0

Enhancing the Operational Resilience of Advanced Reactors with Digital Twins by Recurrent Neural Networks 利用递归神经网络增强数字孪生先进反应堆的运行弹性

2021 Resilience Week (RWS) Pub Date : 2021-10-14 DOI: 10.1109/RWS52686.2021.9611796

Linyu Lin, Joomyung Lee, B. Poudel, T. McJunkin, Truc-Nam Dinh, V. Agarwal

引用次数: 1

Adaptive, Cyber-Physical Special Protection Schemes to Defend the Electric Grid Against Predictable and Unpredictable Disturbances 自适应，网络物理特殊保护方案，以保护电网免受可预测和不可预测的干扰

2021 Resilience Week (RWS) Pub Date : 2021-10-01 DOI: 10.1109/RWS52686.2021.9611801

S. Hossain-McKenzie, Daniel Calzada, N. Jacobs, Chris Goes, A. Summers, K. Davis, Hanyue Li, Zeyu Mao, T. Overbye, K. Shetye

引用次数: 2

A Co-Simulation Approach to Modeling Electric Vehicle Impacts on Distribution Feeders During Resilience Events 弹性事件中电动汽车对配电馈线影响的联合仿真方法

2021 Resilience Week (RWS) Pub Date : 2021-10-01 DOI: 10.1109/RWS52686.2021.9611803

T. Haines, B. Garcia, William F. Vining, M. Lave

引用次数: 0

Chaos Engineering for Enhanced Resilience of Cyber-Physical Systems 增强信息物理系统弹性的混沌工程

2021 Resilience Week (RWS) Pub Date : 2021-06-28 DOI: 10.1109/RWS52686.2021.9611797

Charalambos Konstantinou, G. Stergiopoulos, M. Parvania, P. Veríssimo

{"title":"Chaos Engineering for Enhanced Resilience of Cyber-Physical Systems","authors":"Charalambos Konstantinou, G. Stergiopoulos, M. Parvania, P. Veríssimo","doi":"10.1109/RWS52686.2021.9611797","DOIUrl":"https://doi.org/10.1109/RWS52686.2021.9611797","url":null,"abstract":"Cyber-physical systems (CPS) incorporate the complex and large-scale engineered systems behind critical infrastructure operations, such as water distribution networks, energy delivery systems, healthcare services, manufacturing systems, and transportation networks. Industrial CPS in particular need to simultaneously satisfy requirements of available, secure, safe and reliable system operation against diverse threats, in an adaptive and sustainable way. These adverse events can be of accidental or malicious nature and may include natural disasters, hardware or software faults, cyberattacks, or even infrastructure design and implementation faults. They may drastically affect the results of CPS algorithms and mechanisms, and subsequently the operations of industrial control systems (ICS) deployed in those critical infrastructures. Such a demanding combination of properties and threats calls for resilience-enhancement methodologies and techniques, working in real-time operation. However, the analysis of CPS resilience is a difficult task as it involves evaluation of various interdependent layers with heterogeneous computing equipment, physical components, network technologies, and data analytics. In this paper, we apply the principles of chaos engineering (CE) to industrial CPS, in order to demonstrate the benefits of such practices on system resilience. The systemic uncertainty of adverse events can be tamed by applying runtime CE-based analyses to CPS in production, in order to predict environment changes and thus apply mitigation measures limiting the range and severity of the event, and minimizing its blast radius.","PeriodicalId":294639,"journal":{"name":"2021 Resilience Week (RWS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130135110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3