• Robotic and Real-time Lab, Department of Electrical Engineering Amirkabir University
• 5th Industry Lab, Department of Electrical Engineering Amirkabir University
• Technology and Innovation Development Center
• IEEE Iran Section
• Prof. Heidar Ali Talebi1 (Professor)
• Dr. Iman Sharifi (Assistant Professor)
• Dr. Hamid Reza Baghaei (Associate Research Professor)
• Kosar Behnia1 (PhD student)
• Elnaz Firouzmand1 (PhD student)
Resilient control, Cyber-security, Cyber-physical systems
In today world, the control of physical systems is no longer based on traditional methods and all of the processes can be connected and controlled by the communication links. These systems which are resulted from the integration and coordination of cyber and physical component are called cyber-Physical system (CPS). These systems have numerous applications in real-life and industries such as mobility and transportation, health care, smart homes and smart grids, to name a few.
Unfortunately, cyber physical systems are vulnerable to cyber attacks. Attacker can hijack the communication links and disrupt system performance.
In recent years, different type of attack has been proposed to damage cyber physical systems including: DoS, Replay, Zero dynamic and Covert attack. Each of these attacks needs access to specific communication links. Numerous cyber attacks has happened in recent years including: Stuxnet attack. These attacks cause lots of financial and human losses for example Stuxnet caused serious damage to Iran's nuclear infrastructure and delayed Iran's nuclear program for two years. Detecting cyber attacks is a challenging research area. One of the main challenges in this area is dealing with unknown attacks. Every day, attackers find new attacks. Hence, Defense strategies should be able to detect even attacks that has not happened yet.
Moreover, Some of the cyber attacks cannot be detected by simply monitoring available signals. Therefore, Attacker can easily damage system without even be detected. To overcome these problems, various strategies to make control systems resilient to cyber attacks has been proposed including W-MSR and reputation algorithm. Usage of defense algorithms improve cyber security of the underlying CPS system. Nowadays different countries invest on finding proper defense strategies to prevent catastrophic effects of cyber attacks.
In this workshop, first, the definition of cyber physical systems and importance of security in the design procedure is given. Then, various types of cyber-attacks based on different categories is investigated. Finally, state of the art detection, prevention and resilient control methods are presented. The simulation and implementation of defense algorithms will be also presented.
The detailed agenda of the workshop is given as follows:
• Definition of Cyber-Physical Systems
• Importance of security in Cyber-Physical Systems
• Enhancing security against cyber attacks:
- False data injection attack
- Zero dynamic attack
- Replay attack
- Denial of Service attack
- Covert attack
- Quasi-Covert attack
- Controllable Covert attacks in Multi-Agent Systems
• Applications of cyber-security in CPS
- Cyber-Security in power systems
- Cyber-Security in Autonomous vehicles
• Case study and paper presentation
- Resilient control strategy
- Simulation and implementation
The materials outlined in the previous section will be delivered based on the following plan in four parts, with approximately one hour for each section.
Prof. Heidar Ali Talebi, Amirkabir University of Technology
Introduction to Workshop and Opening Talk:
In this section, the goals and generalities of the workshop are presented. First, the general definition of cyber physical systems and their importance in control systems are examined. Then, Detection and resilient control approaches to detect and prevent cyber-attacks will be explained, generally. In this section, participants are expected to grasp the general knowledge about cyber physical systems and the corresponding cyber-security issues.
Dr. Iman Sharifi, Amirkabir University of Technology
Importance of Security in Industrial Internet of Things (IIoT):
Industrial processes are subject to different types of cyber-attacks. The aim of the attackers is to mitigate the performance of the designed control systems which further leads to catastrophic failures. To ensure safe operation of the system under attacks, it is acquired to design resilient control strategies. In this part, we aim at pinpointing security concerns in IIoT and 5G. Moreover, a comparison between communication layers and their susceptibility to cyber attacks is presented.
Elnaz Firouzmand, Amirkabir University of Technology
Kosar Behnia, Amirkabir University of Technology
Attack Classification and Detection:
First, this section examines various attack structures such as replay attack, DoS attack, (Quasi-)covert attack, and etc. The knowledge required to implement different attacks and the strengths and weaknesses of each type of attack are reviewed. Finally, various types of cyber-attacks are categorized from different perspectives. Second, the importance of attack detection algorithms is stated, and algorithms to detect and prevent cyber-attacks such as water marking algorithms will be examined. Moreover, suitable conditions for the effectiveness of detection and prevention algorithms are compared. To recap, resilient approaches including graph-based methods, such as WMSR, reputation-based resilient control strategies, and methods which are based on classic control theories such as robust control methods, adaptive control and etc. are presented.
Dr. Hamid Reza Baghaei, Amirkabir University of Technology
Cyber-Resiliency and Data-Driven Management Aspects of Conventional and Power Electronic-based Power Systems:
Cyber-Resiliency and Data-Driven Management Aspects of Conventional and Power Electronic-based Power Systems
With the increasing penetration of large-scale power electronics devices, including renewable generations interfaced with converters, the power systems become gradually power-electronics-dominant, and correspondingly, their dynamical behavior changes substantially. Due to the fast dynamics of converters, such as the AC current controller, the quasi-stationary state approximation, widely used in power systems, is no longer appropriate and should be reexamined. Besides, multi-microgrids (or microgrid clusters) consist of several individual (AC or DC) microgrids, which are connected through bidirectional interlink (DC/DC or AC/DC) converters. Despite these numerous advantages, e.g., increased reliability, designing and implementing an appropriate control, management, and protection system for multi-microgrids remain significant challenges. For the sake of smooth integration of distributed/renewable energy resources (DERs/RERs), energy storage systems (ESSs) and electric vehicles, and stable operation of the power grid, we require robust and reliable supervisory control based on the critical role of IoE in energy management and monitoring of the smart grids. In this regard, the IoE has revolutionized the research and practice of energy efficiency for industrial and smart city applications. The data exchange between grid components and data-driven solutions in smart grid operation will enable optimized bi-directional power flow between the utility grid and prosumers with RERs. Along with building energy demand, the transport sector holds promise in achieving the overall optimization of the energy systems. This evolving set of grid component databases (gathered by smart meters, automatic meter readings (AMRs), intelligent electronic devices (IEDs), and phasor measurement units (PMUs)) can be exploited to develop data-driven solutions by combining AI and ML and data analytics. Useful information from this data can be extracted for grid operators using advanced data analysis tools. Microgrids can be considered cyber-physical systems (CPSs) due to implementing measurement devices, communication networks, and control layers. Consequently, microgrids are also vulnerable to different kinds of cyberattacks such as false data injection, denial of service, hijacking, deception, and replay attacks. Thus, new strategies for the detection and mitigation of cyberattacks are required. In this talk, we discuss the issues regarding the concepts of the Internet of microgrids, data-driven management of microgrids, and their cyber resiliency aspects.
The audience of this workshop includes enthusiastic students and educated researchers in the field of cyber physical systems security, microgrid, autonomous vehicles and Internet of Things. Therefore, this workshop provides a rare opportunity to widen their knowledge by becoming familiar with the state-of-the-art algorithms in the field of cyber security for cyber physical systems.
This workshop can also be very helpful for graduate and PhD students. They can expand their horizons on the communication issues and present more practical thesis and projects.
Professors can also share their knowledge and experience in this field by attending this workshop. Finally, Q&A provides a good opportunity to solve the audience’s problems.
At Robotic and Real-time Lab of Electrical Engineering Department of Amirkabir University, we are pleased to cooperate with professional people, researchers and those students who are interested in doing research in this field and this workshop could be a great starting point for future collaborations!