2022 Resilience Week (RWS)最新文献_第2页

Grid-ViDS: A Smart Grid Co-Simulation Platform for Virtual Device Simulation Grid- vids:面向虚拟设备仿真的智能电网联合仿真平台

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984028

D. Sebastian-Cardenas, Hussain M. Mustafa, A. Hahn, Amal Srivastava

{"title":"Grid-ViDS: A Smart Grid Co-Simulation Platform for Virtual Device Simulation","authors":"D. Sebastian-Cardenas, Hussain M. Mustafa, A. Hahn, Amal Srivastava","doi":"10.1109/RWS55399.2022.9984028","DOIUrl":"https://doi.org/10.1109/RWS55399.2022.9984028","url":null,"abstract":"In this work, we present a generic co-simulation platform that allows researchers to evaluate and test the effects of communication networks within distribution systems to support analyzing cyber-resilience. The developed set of tools seeks to simplify the exchange of electrical data with external controllers/systems while at the same time offering the ability to evaluate the effects of different communication network architectures and/or events. The proposed solution is built around OpenDSS and Mininet using a python-based wrapper, potentially enabling the integration of third-party libraries with ease. To demonstrate this concept, the paper presents a Modbus-based DER control platform that has been coupled to the IEEE 13 bus system; a cyber-physical system that could be used to assess the cyber-resilience of different volt-var control strategies. Our paper specifically focuses on highlighting the effort-saving features that could be of interest to researchers and developers, potentially reducing the number of resources needed to build such systems from scratch. Finally, this paper represents the first public release of our tool.","PeriodicalId":170769,"journal":{"name":"2022 Resilience Week (RWS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133172576","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: 2

Designing Secure and Resilient Cyber-Physical Systems Using Formal Models 使用正式模型设计安全和弹性的网络物理系统

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984044

Robert S. Lois, D. Cole

引用次数: 0

Post-Disaster Microgrid Formation for Enhanced Distribution System Resilience 灾后微电网形成增强配电系统弹性

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984027

Mukesh Gautam, Michael Abdelmalak, Mohammed Ben-Idris, E. Hotchkiss

{"title":"Post-Disaster Microgrid Formation for Enhanced Distribution System Resilience","authors":"Mukesh Gautam, Michael Abdelmalak, Mohammed Ben-Idris, E. Hotchkiss","doi":"10.1109/RWS55399.2022.9984027","DOIUrl":"https://doi.org/10.1109/RWS55399.2022.9984027","url":null,"abstract":"This paper proposes a deep reinforcement learning (DRL) based approach for post-disaster critical load restoration in active distribution systems to form microgrids through network reconfiguration to minimize critical load curtailments. Distribution networks are represented as graph networks, and optimal network configurations with microgrids are obtained by searching for the optimal spanning forest. The constraints to the research question being explored are the radial topology and power balance. Unlike existing analytical and population-based approaches, which necessitate the repetition of entire analyses and computation for each outage scenario to find the optimal spanning forest, the proposed approach, once properly trained, can quickly determine the optimal, or near-optimal, spanning forest even when outage scenarios change. When multiple lines fail in the system, the proposed approach forms microgrids with distributed energy resources in active distribution systems to reduce critical load curtailment. The proposed DRL-based model learns the action-value function using the REINFORCE algorithm, which is a model-free reinforcement learning technique based on stochastic policy gradients. A case study was conducted on a 33-node distribution test system, demonstrating the effectiveness of the proposed approach for post-disaster critical load restoration.","PeriodicalId":170769,"journal":{"name":"2022 Resilience Week (RWS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127314093","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: 1

Trade-off Analysis of Operational Technologies to Advance Cyber Resilience through Automated and Autonomous Response to Threats 通过对威胁的自动和自主响应来提高网络弹性的操作技术的权衡分析

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984031

C. Rieger, C. Kolias, Robert C. Ivans, Shannon Eggers

引用次数: 0

An Experimental Platform for Autonomous Intelligent Cyber-Defense Agents: Towards a collaborative community approach (WIPP) 自主智能网络防御代理实验平台:迈向协作社区方法(WIPP)

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984037

Benjamin A. Blakely

引用次数: 2

Supply Chain Risk Management: Data Structuring 供应链风险管理:数据结构

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984043

Nina Lopez, Animesh Pattanayak, J. Smith

{"title":"Supply Chain Risk Management: Data Structuring","authors":"Nina Lopez, Animesh Pattanayak, J. Smith","doi":"10.1109/RWS55399.2022.9984043","DOIUrl":"https://doi.org/10.1109/RWS55399.2022.9984043","url":null,"abstract":"Supply chain risk management (SCRM) is an area of research that addresses both logistics concepts to maximize efficiency, reliability, and revenue as well as risk features, such as potential weak points, break points, and vulnerabilities within the supply chain. SCRM is used to find risks introduced at each node in a supply chain and how these risks can impact a company’s products, individuals, customers, and reputation. SCRM is a relatively new field, so standardized processes including data structuring are not fully documented. This paper explains the importance of a standard data structuring methodology and how it can enhance current SCRM efforts. Data ingest, structuring, and analysis are predominantly managed by humans. Automating some of the less complex steps can positively impact SCRM by allowing human analysts to focus on more strategic analyses. Types of data to be collected and structured are collected via publicly available information related to hardware, software, and corporate entities. After the data has been collected, the information is formatted in a specific manner, conforming to a schema, to allow for more effective and efficient ingest for further analysis. This paper outlines data structures used by Pacific Northwest National Laboratory for SCRM research and analysis purposes. These structures have been used for hundreds of analyses and have been successful in developing a common baseline. Data structuring is one of the first steps in data standardization, which will further mature and enhance the SCRM research area.","PeriodicalId":170769,"journal":{"name":"2022 Resilience Week (RWS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115791125","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

Deception-Based Cyber Attacks on Hierarchical Control Systems using Domain-Aware Koopman Learning* 基于欺骗的基于领域感知Koopman学习的分层控制系统网络攻击*

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984030

Craig Bakker, Andrew August, Sen Huang, Soumya Vasisht, D. Vrabie

引用次数: 1

ESE: A Tool for Enhanced STIX Elevation ESE:一个增强STIX标高的工具

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984039

Tianqiao Zhao, Bryan Beckman, Meng Yue, Rita Foster

{"title":"ESE: A Tool for Enhanced STIX Elevation","authors":"Tianqiao Zhao, Bryan Beckman, Meng Yue, Rita Foster","doi":"10.1109/RWS55399.2022.9984039","DOIUrl":"https://doi.org/10.1109/RWS55399.2022.9984039","url":null,"abstract":"Structured Threat Information eXpression (STIX) language has been widely used to automate the sharing of cyber threat information (CTI) across s intelligence communities. There are different versions, i.e., STIX 1.x and 2.x., while STIX 2.x is gaining more popularity. There is a strong need to convert the existing, well-developed STIX 1.x (in XML format) files to STIX 2.x (in JSON format) files using, e.g., tools such as cti-stix-elevator. Despite the success and usefulness of such STIX elevation tools, one of the major issues is that the many objects and relationships defined in XML serializations are not converted properly. This has been a major barrier to information sharing based on the well-developed XML files. The manual effort, a tedious and time-consuming process, is the only option for fixing the missing relationships in the converted JSON files. To facilitate information sharing, we propose to design an automated tool to enhance the elevation by fixing the missing objects and relationship/sighting objects during the conversion process. This automated tool is developed by taking advantage of two open-source tools, namely Python-STIX and Python-STIX2, which provide a set of APIs to work with XML and JSON files. The tool, enhanced STIX elevation or ESE, is implemented by detecting the missing relationship/sighting objects in JSON files and extracting relationship information directly from XML files for creating the missing relationship/sighting objects in JSON. The performance of the ESE is demonstrated via case studies of two malware cases.","PeriodicalId":170769,"journal":{"name":"2022 Resilience Week (RWS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117228787","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: 1

ICS-CTM2: Industrial Control System Cybersecurity Testbed Maturity Model ICS-CTM2:工业控制系统网络安全试验台成熟度模型

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984023

Souradeep Bhattacharya, Burhan Hyder, G. Manimaran

{"title":"ICS-CTM2: Industrial Control System Cybersecurity Testbed Maturity Model","authors":"Souradeep Bhattacharya, Burhan Hyder, G. Manimaran","doi":"10.1109/RWS55399.2022.9984023","DOIUrl":"https://doi.org/10.1109/RWS55399.2022.9984023","url":null,"abstract":"Industrial Control System (ICS) testbeds serve as a platform for evaluating and validating control system performances, cybersecurity tools and technologies. In order to build or enhance an ICS testbed, it is vital to have a deeper understanding of its design specifications and characteristic attributes. Satisfying this prerequisite involves examination and assessment of these attributes for existing testbeds. To further increase confidence in a testbed’s functionality, it is important to perform a comparative analysis of its specifications with other ICS testbeds. However, at present, there is no standardized methodology available to provide a comparative assessment of different testbeds. In this paper, we propose a methodology for analyzing ICS testbeds, inspired by the Cybersecurity Capability Maturity Model (C2M2). In particular, we then define a ICS Cybersecurity Testbed Maturity Model, its domains, and the associated maturity indicator levels. To demonstrate the benefit of the model, we have conducted a case study analysis for several ICS testbeds, representing different industrial sectors. Our analysis provides deeper insights into the relative strengths and limitations of these testbeds, together with scope for future enhancements, with respect to the domains defined by the model.","PeriodicalId":170769,"journal":{"name":"2022 Resilience Week (RWS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116257822","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

Towards Resilient Communities: Strengthening Infrastructure for Critical Service Provision under Severe Weather Conditions 迈向复原社区:在恶劣天气条件下加强提供关键服务的基础设施

2022 Resilience Week (RWS) Pub Date : 2022-09-26 DOI: 10.1109/RWS55399.2022.9984041

L. Souto, M. Pregnolato, Philip C. Taylor

引用次数: 0