Pub Date : 2018-10-01DOI: 10.1109/SmartGridComm.2018.8587430
Vu Coughlin, Carlos E. Rubio-Medrano, Ziming Zhao, Gail-Joon Ahn
Recently, energy delivery systems (EDS) have been targeted by sophisticated network-based attacks tailored to disrupt the proper distribution of energy among different geographical regions, resulting in non-trivial socio-economical loses and a loss of public confidence in EDS infrastructures. Such attacks were facilitated by the lack of native security measures regarding existing network communication protocols for EDS, which allowed attackers to deliberately manipulate the state of network connections between control modules and field devices. In order to address these concerns, this paper presents EDSGuard, a state-based firewall and monitoring tool that leverages state-of the-art packet inspection techniques along with software-defined networks (SDN), to intelligently implement a set of security requirements and best practices for protecting EDS networks, as issued by regulatory organizations within the EDS community in the last years. In addition, EDSGuard implements a series of first-response countermeasure strategies, which can automatically react to anomalies and attacks, thus effectively mitigating their consequences and impact as a result. We provide the overall rationale behind our approach, as well as a description of our experimental results depicting a set of attack scenarios inspired by recent incidents affecting EDS infrastructures, which provide evidence of the suitability of EDSGuard for being fully adopted in practice.
{"title":"EDSGuard: Enforcing Network Security Requirements for Energy Delivery Systems","authors":"Vu Coughlin, Carlos E. Rubio-Medrano, Ziming Zhao, Gail-Joon Ahn","doi":"10.1109/SmartGridComm.2018.8587430","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587430","url":null,"abstract":"Recently, energy delivery systems (EDS) have been targeted by sophisticated network-based attacks tailored to disrupt the proper distribution of energy among different geographical regions, resulting in non-trivial socio-economical loses and a loss of public confidence in EDS infrastructures. Such attacks were facilitated by the lack of native security measures regarding existing network communication protocols for EDS, which allowed attackers to deliberately manipulate the state of network connections between control modules and field devices. In order to address these concerns, this paper presents EDSGuard, a state-based firewall and monitoring tool that leverages state-of the-art packet inspection techniques along with software-defined networks (SDN), to intelligently implement a set of security requirements and best practices for protecting EDS networks, as issued by regulatory organizations within the EDS community in the last years. In addition, EDSGuard implements a series of first-response countermeasure strategies, which can automatically react to anomalies and attacks, thus effectively mitigating their consequences and impact as a result. We provide the overall rationale behind our approach, as well as a description of our experimental results depicting a set of attack scenarios inspired by recent incidents affecting EDS infrastructures, which provide evidence of the suitability of EDSGuard for being fully adopted in practice.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127468285","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}
Pub Date : 2018-10-01DOI: 10.1109/SmartGridComm.2018.8587459
G. Bag, Morgan E. Johansson, Luka Lednicki, J. Neander, Linus Eriksson, Rajendra Bogati, P. Hovila, Juha Saarinen, J. Torsner
This paper evaluates the performance of the IEC 61850-90-5 protocol stack transmitted over a latency optimized non-commercial 3GPP LTE network through experiments in a lab environment. IEC 61850-90-5 is designed for Phasor Measurement Unit (PMU) communication but can also be extended to other areas of control and protection in smart grids, using the routable GOOSE and routable sample value features. The test was carried out using a PC that emulated a PMU in sending periodic IEC61850-90-5 packets. Different IEC 61850-905 packet sizes and transmission rates were considered to determine the availability, throughput and latency of the LTE based network. The latency was minimized by applying a low latency scheduling mechanism and local breakout where user plane functionality of the core network is located at the edge of the Radio Access network. From the results it can be seen that an LTE network with latency optimized configuration performs well in terms of throughput and latency whereas a reference network without local breakout show significantly higher latency and jitter.
{"title":"Performance Evaluation of IEC 61850-90-5 over a latency optimized 3GPP LTE Network","authors":"G. Bag, Morgan E. Johansson, Luka Lednicki, J. Neander, Linus Eriksson, Rajendra Bogati, P. Hovila, Juha Saarinen, J. Torsner","doi":"10.1109/SmartGridComm.2018.8587459","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587459","url":null,"abstract":"This paper evaluates the performance of the IEC 61850-90-5 protocol stack transmitted over a latency optimized non-commercial 3GPP LTE network through experiments in a lab environment. IEC 61850-90-5 is designed for Phasor Measurement Unit (PMU) communication but can also be extended to other areas of control and protection in smart grids, using the routable GOOSE and routable sample value features. The test was carried out using a PC that emulated a PMU in sending periodic IEC61850-90-5 packets. Different IEC 61850-905 packet sizes and transmission rates were considered to determine the availability, throughput and latency of the LTE based network. The latency was minimized by applying a low latency scheduling mechanism and local breakout where user plane functionality of the core network is located at the edge of the Radio Access network. From the results it can be seen that an LTE network with latency optimized configuration performs well in terms of throughput and latency whereas a reference network without local breakout show significantly higher latency and jitter.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127507166","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}
Pub Date : 2018-10-01DOI: 10.1109/SmartGridComm.2018.8587585
P. B. Andersen, T. Sousa, Andreas Thingvad, Lea Sass Berthou, M. Kulahci
Vehicle-Grid Integration (VGI) research may serve to limit the self-induced adverse effects of electric vehicles (EVs) in terms of additional grid loading, but also as to make the EV an active asset in supporting a stable, economic power system based on renewable energy. Any use of the vehicle for grid services requires an accurate understanding of the user’s driving needs. This paper proposes the introduction of a user profile, describing the energy requirements for driving in terms of an energy deadline, target and minimum. To explore the use of such a profile, the paper analyses data from a Danish pilot project where the driving patterns of ten electric Nissan e-NV200 vans are investigated in terms of leave times and energy consumption. It is shown that the data can be fitted with a log-normal distribution that can be used to establish a per user profile which provides a certain statistical probability of fulfilling the driving needs while allowing an aggregator to optimize earnings. Initially, aggregators may apply similar driving assumptions across an entire fleet. Considering that the driving needs of individual EV owners are different, statistical representations of the individual behaviour may result in more flexibility, and thereby time, for providing grid services. The paper quantifies the value of such added flexibility based on the Danish market for frequency containment reserves.
{"title":"Added Value of Individual Flexibility Profiles of Electric Vehicle Users For Ancillary Services","authors":"P. B. Andersen, T. Sousa, Andreas Thingvad, Lea Sass Berthou, M. Kulahci","doi":"10.1109/SmartGridComm.2018.8587585","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587585","url":null,"abstract":"Vehicle-Grid Integration (VGI) research may serve to limit the self-induced adverse effects of electric vehicles (EVs) in terms of additional grid loading, but also as to make the EV an active asset in supporting a stable, economic power system based on renewable energy. Any use of the vehicle for grid services requires an accurate understanding of the user’s driving needs. This paper proposes the introduction of a user profile, describing the energy requirements for driving in terms of an energy deadline, target and minimum. To explore the use of such a profile, the paper analyses data from a Danish pilot project where the driving patterns of ten electric Nissan e-NV200 vans are investigated in terms of leave times and energy consumption. It is shown that the data can be fitted with a log-normal distribution that can be used to establish a per user profile which provides a certain statistical probability of fulfilling the driving needs while allowing an aggregator to optimize earnings. Initially, aggregators may apply similar driving assumptions across an entire fleet. Considering that the driving needs of individual EV owners are different, statistical representations of the individual behaviour may result in more flexibility, and thereby time, for providing grid services. The paper quantifies the value of such added flexibility based on the Danish market for frequency containment reserves.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128172111","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}
Pub Date : 2018-10-01DOI: 10.1109/SmartGridComm.2018.8587476
Medhat H. M. Elsayed, M. Erol-Kantarci
Ultra low-latency is one of the key requirements of tactile internet applications such as microgrid communication, where low end-to-end delay of control messages is essential. In addition, small cell wireless networks emerge as the enabler of networked microgrids, given their coverage, capacity and flexibility. Such densification can help in addressing the stringent QoS requirements of microgrid communications. In dense networks, besides the traditional resource allocation problem, user association can help in reducing communication latency, where users can associate with the base stations that can serve best. In this paper, we jointly address resource allocation and user/device association when Critical User Devices (CUDs), i.e. microgrid controllers, and non-critical users, i.e. User Equipments (UEs), co-exist in a small cell network. We formulate our optimization problem as a resource allocation as well as user association problem. We propose a deep Q-Network based algorithm, namely Delay Minimizing Deep Q-Network (DM-DQN) to address the low-latency requirement. DM-DQN aims at reducing the delay of CUDs by balancing the trade-off between allocating more RBs and associating devices to base stations with high channel quality. We compare the performance of DM-DQN to a tabular Q-learning algorithm. Our results show that the proposed scheme achieves 41% delay reduction for CUDs and it converges faster than Q-learning based scheme algorithm.
{"title":"Deep Q-Learning for Low-Latency Tactile Applications: Microgrid Communications","authors":"Medhat H. M. Elsayed, M. Erol-Kantarci","doi":"10.1109/SmartGridComm.2018.8587476","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587476","url":null,"abstract":"Ultra low-latency is one of the key requirements of tactile internet applications such as microgrid communication, where low end-to-end delay of control messages is essential. In addition, small cell wireless networks emerge as the enabler of networked microgrids, given their coverage, capacity and flexibility. Such densification can help in addressing the stringent QoS requirements of microgrid communications. In dense networks, besides the traditional resource allocation problem, user association can help in reducing communication latency, where users can associate with the base stations that can serve best. In this paper, we jointly address resource allocation and user/device association when Critical User Devices (CUDs), i.e. microgrid controllers, and non-critical users, i.e. User Equipments (UEs), co-exist in a small cell network. We formulate our optimization problem as a resource allocation as well as user association problem. We propose a deep Q-Network based algorithm, namely Delay Minimizing Deep Q-Network (DM-DQN) to address the low-latency requirement. DM-DQN aims at reducing the delay of CUDs by balancing the trade-off between allocating more RBs and associating devices to base stations with high channel quality. We compare the performance of DM-DQN to a tabular Q-learning algorithm. Our results show that the proposed scheme achieves 41% delay reduction for CUDs and it converges faster than Q-learning based scheme algorithm.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115418991","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}
Pub Date : 2018-10-01DOI: 10.1109/SmartGridComm.2018.8587503
Liang Ni, Bo Sun, Xiaoqi Tan, D. Tsang
We present a framework to integrate the choice of electric vehicle (EV) customers into the vehicle-to-station (V2S) routing problem for battery swapping. Instead of assigning stations to each EV customer directly, we provide a recommendation, including a list of station-price pairs that are available for EV battery swapping services, for customers to choose. Compared with assignment, recommendation is closer to reality for scenarios lacking incentives for the cooperation of customers such as the battery swapping services of private EVs. In this paper, we model customers’ behavior by their choice probability given a particular recommendation, which can be readily obtained based on analytics techniques once the real data are available. We propose an online V2S recommendation algorithm, which aims at maximizing the expected revenue of a group of battery swapping stations (BSSs) and ensuring the quality service of EV customers. Leveraging the primal-dual analysis, we show that the loss of revenue due to online EV arrivals is theoretically bounded by a provable competitive ratio. Moreover, numerical tests also validate that the proposed online algorithm can significantly outperform benchmarks in maximizing revenues in online settings.
{"title":"Online Price-based Vehicle-to-Station Recommendations for EV Battery Swapping","authors":"Liang Ni, Bo Sun, Xiaoqi Tan, D. Tsang","doi":"10.1109/SmartGridComm.2018.8587503","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587503","url":null,"abstract":"We present a framework to integrate the choice of electric vehicle (EV) customers into the vehicle-to-station (V2S) routing problem for battery swapping. Instead of assigning stations to each EV customer directly, we provide a recommendation, including a list of station-price pairs that are available for EV battery swapping services, for customers to choose. Compared with assignment, recommendation is closer to reality for scenarios lacking incentives for the cooperation of customers such as the battery swapping services of private EVs. In this paper, we model customers’ behavior by their choice probability given a particular recommendation, which can be readily obtained based on analytics techniques once the real data are available. We propose an online V2S recommendation algorithm, which aims at maximizing the expected revenue of a group of battery swapping stations (BSSs) and ensuring the quality service of EV customers. Leveraging the primal-dual analysis, we show that the loss of revenue due to online EV arrivals is theoretically bounded by a provable competitive ratio. Moreover, numerical tests also validate that the proposed online algorithm can significantly outperform benchmarks in maximizing revenues in online settings.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116184383","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}
Pub Date : 2018-10-01DOI: 10.1109/SmartGridComm.2018.8587583
Weiqi Hua, Hongjian Sun, Hao Xiao, W. Pei
In order to schedule the virtual power plant and corresponding energy market operation, a two-scenario Stackelberg game-theoretic model is proposed to describe interactions between market operator and VPP operator. During market operation, the market operator is a leader of the game to decide market cleaning prices, considering the power loss minimization of VPP operator, whereas during VPP operation, the VPP operator becomes a leader to facilitate the demand side management (DSM) through proper monetary compensation, considering the market trading balance between power sellers and power buyers. An optimal scheduling strategy including power dispatch and market balance will be realised. Case studies prove the effectiveness of the proposed Stackelberg game-theoretic model through IEEE 30-bus test system. The market scheduling promotes the power exchange among VPPs. The VPP scheduling evaluates the optimal monetary compensation rate to motivate the DSM including load shifting and load curtailment.
{"title":"Stackelberg Game-Theoretic Strategies for Virtual Power Plant and Associated Market Scheduling Under Smart Grid Communication Environment","authors":"Weiqi Hua, Hongjian Sun, Hao Xiao, W. Pei","doi":"10.1109/SmartGridComm.2018.8587583","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587583","url":null,"abstract":"In order to schedule the virtual power plant and corresponding energy market operation, a two-scenario Stackelberg game-theoretic model is proposed to describe interactions between market operator and VPP operator. During market operation, the market operator is a leader of the game to decide market cleaning prices, considering the power loss minimization of VPP operator, whereas during VPP operation, the VPP operator becomes a leader to facilitate the demand side management (DSM) through proper monetary compensation, considering the market trading balance between power sellers and power buyers. An optimal scheduling strategy including power dispatch and market balance will be realised. Case studies prove the effectiveness of the proposed Stackelberg game-theoretic model through IEEE 30-bus test system. The market scheduling promotes the power exchange among VPPs. The VPP scheduling evaluates the optimal monetary compensation rate to motivate the DSM including load shifting and load curtailment.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128472289","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}
Pub Date : 2018-10-01DOI: 10.1109/SmartGridComm.2018.8587571
Ye Yuan, Wei Zhou, Hai-Tao Zhang, Zuowei Ping, Omid Ardakanian
This paper presents a novel iterative method for harmonic state estimation based on the sparse Bayesian learning framework. The proposed method can locate harmonic sources and estimate the distribution of harmonic voltages using fewer harmonic meters than buses, despite the strong correlation between the columns of the system matrix. Extensive simulations are performed on a benchmark transmission system to corroborate the efficacy of this method when measurements are noise free. Our results show that the proposed state estimator achieves an identification error of less than $1.6times 10^{-6}$ and can locate harmonic sources with an average success rate of 97.92%, outperforming state-of-the-art harmonic state estimators.
{"title":"Sparse Bayesian Harmonic State Estimation","authors":"Ye Yuan, Wei Zhou, Hai-Tao Zhang, Zuowei Ping, Omid Ardakanian","doi":"10.1109/SmartGridComm.2018.8587571","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587571","url":null,"abstract":"This paper presents a novel iterative method for harmonic state estimation based on the sparse Bayesian learning framework. The proposed method can locate harmonic sources and estimate the distribution of harmonic voltages using fewer harmonic meters than buses, despite the strong correlation between the columns of the system matrix. Extensive simulations are performed on a benchmark transmission system to corroborate the efficacy of this method when measurements are noise free. Our results show that the proposed state estimator achieves an identification error of less than $1.6times 10^{-6}$ and can locate harmonic sources with an average success rate of 97.92%, outperforming state-of-the-art harmonic state estimators.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127186759","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}
Pub Date : 2018-10-01DOI: 10.1109/SmartGridComm.2018.8587510
Dongchan Lee, Pirathayini Srikantha, D. Kundur
Increasing penetration of power electronic devices is resulting in power quality disturbances that are causing marked degradation in grid performance and efficiency. Although phasor measurement data is readily available at high granularity due to the advent of advanced grid monitoring capabilities, effective processing algorithms are necessary to glean in-depth insights into the disturbances that have transpired. In this paper, a novel power quality disturbance classifier is proposed for online application by leveraging on wavelet transforms and recurrent neural networks. The existing approaches requires fixed window size, and there is a fundamental trade-off between the accuracy and localization of the event. The recurrent neural network efficiently store and memorize the past information and overcomes this limitation. The proposed technique is tested on simulation data based on IEEE-1159 standards.
{"title":"Online Power Quality Disturbance Classification with Recurrent Neural Network","authors":"Dongchan Lee, Pirathayini Srikantha, D. Kundur","doi":"10.1109/SmartGridComm.2018.8587510","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587510","url":null,"abstract":"Increasing penetration of power electronic devices is resulting in power quality disturbances that are causing marked degradation in grid performance and efficiency. Although phasor measurement data is readily available at high granularity due to the advent of advanced grid monitoring capabilities, effective processing algorithms are necessary to glean in-depth insights into the disturbances that have transpired. In this paper, a novel power quality disturbance classifier is proposed for online application by leveraging on wavelet transforms and recurrent neural networks. The existing approaches requires fixed window size, and there is a fundamental trade-off between the accuracy and localization of the event. The recurrent neural network efficiently store and memorize the past information and overcomes this limitation. The proposed technique is tested on simulation data based on IEEE-1159 standards.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130999241","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}
Pub Date : 2018-10-01DOI: 10.1109/SmartGridComm.2018.8587533
Wenyu Ren, Timothy M. Yardley, K. Nahrstedt
Supervisory Control and Data Acquisition (SCADA) systems play a critical role in the operation of large-scale distributed industrial systems. There are many vulnerabilities in SCADA systems and inadvertent events or malicious attacks from outside as well as inside could lead to catastrophic consequences. Network-based intrusion detection is a preferred approach to provide security analysis for SCADA systems due to its less intrusive nature. Data in SCADA network traffic can be generally divided into transport, operation, and content levels. Most existing solutions only focus on monitoring and event detection of one or two levels of data, which is not enough to detect and reason about attacks in all three levels. In this paper, we develop a novel edge-based multi-level anomaly detection framework for SCADA networks named EDMAND. EDMAND monitors all three levels of network traffic data and applies appropriate anomaly detection methods based on the distinct characteristics of data. Alerts are generated, aggregated, prioritized before sent back to control centers. A prototype of the framework is built to evaluate the detection ability and time overhead of it.
{"title":"EDMAND: Edge-Based Multi-Level Anomaly Detection for SCADA Networks","authors":"Wenyu Ren, Timothy M. Yardley, K. Nahrstedt","doi":"10.1109/SmartGridComm.2018.8587533","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587533","url":null,"abstract":"Supervisory Control and Data Acquisition (SCADA) systems play a critical role in the operation of large-scale distributed industrial systems. There are many vulnerabilities in SCADA systems and inadvertent events or malicious attacks from outside as well as inside could lead to catastrophic consequences. Network-based intrusion detection is a preferred approach to provide security analysis for SCADA systems due to its less intrusive nature. Data in SCADA network traffic can be generally divided into transport, operation, and content levels. Most existing solutions only focus on monitoring and event detection of one or two levels of data, which is not enough to detect and reason about attacks in all three levels. In this paper, we develop a novel edge-based multi-level anomaly detection framework for SCADA networks named EDMAND. EDMAND monitors all three levels of network traffic data and applies appropriate anomaly detection methods based on the distinct characteristics of data. Alerts are generated, aggregated, prioritized before sent back to control centers. A prototype of the framework is built to evaluate the detection ability and time overhead of it.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115332998","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}
The state estimation (SE) is the basis of the energy management system (EMS) to estimate the system operating status. As cyber security issues in smart grids become more and more prominent and smart grids become cyber-physical systems (CPS), it is essential to analyze how the disturbance will affect the results of state estimation. Based on cyber-physical model for smart grids and cyber-physical sensitivity, this paper proposes a sensitivity analysis method for state estimation from a CPS perspective so that the critical measurement can be identified.
{"title":"Sensitivity-Based Critical Measurement Identification of State Estimation: From A CPS Perspective","authors":"Xinzhan Liu, Luo Xu, Qinglai Guo, Tongtian Sheng, Tianyu Yang, Yu Huang, Zanhong Wu","doi":"10.1109/SmartGridComm.2018.8587579","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587579","url":null,"abstract":"The state estimation (SE) is the basis of the energy management system (EMS) to estimate the system operating status. As cyber security issues in smart grids become more and more prominent and smart grids become cyber-physical systems (CPS), it is essential to analyze how the disturbance will affect the results of state estimation. Based on cyber-physical model for smart grids and cyber-physical sensitivity, this paper proposes a sensitivity analysis method for state estimation from a CPS perspective so that the critical measurement can be identified.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"110 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115543830","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：