| 1. |
- Aguiar, Javier, et al.
(författare)
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New Data Communication Standards
- 2012
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Ingår i: IEEE Communications Magazine. - 0163-6804. ; 50:3, s. 70-71
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 2. |
- Akbarian, Fatemeh, et al.
(författare)
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A Security Framework in Digital Twins for Cloud-based Industrial Control Systems: Intrusion Detection and Mitigation
- 2021
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Ingår i: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ). - 9781728129907 - 9781728129891
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Konferensbidrag (refereegranskat)abstract
- With the help of modern technologies and advances in communication systems, the functionality of Industrial control systems (ICS) has been enhanced leading toward to have more efficient and smarter ICS. However, this makes these systems more and more connected and part of a networked system. This can provide an entry point for attackers to infiltrate the system and cause damage with potentially catastrophic consequences. Therefore, in this paper, we propose a digital twin-based security framework for ICS that consists of two parts: attack detection and attack mitigation. In this framework we deploy an intrusion detection system in digital domain that can detect attacks in a timely manner. Then, using our mitigation method, we keep the system stable with acceptable performance during the attack. Additionally, we implement our framework on a real testbed and evaluate its capability by subjecting it to a set of attacks.
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| 3. |
- Akbarian, Fatemeh, et al.
(författare)
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Attack Resilient Cloud-Based Control Systems for Industry 4.0
- 2023
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Ingår i: IEEE Access. - 2169-3536. ; 11, s. 27865-27882
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Tidskriftsartikel (refereegranskat)abstract
- In recent years, since the cloud can provide tremendous advantages regarding storage and computing resources, the industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces significant security challenges since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and disruptions with potentially catastrophic consequences. Therefore, some security measures are necessary to detect these attacks in a timely manner and mitigate their impact. In this paper, we propose a security framework for cloud control systems that makes them resilient against attacks. This framework includes three steps: attack detection, attack isolation, and attack mitigation. We validate our proposed framework on a real testbed and evaluate its capability by subjecting it to a set of attacks. We show that our proposed solution can detect an attack in a timely manner and keep the plant stable, with high performance during the attack.
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| 4. |
- Akbarian, Fatemeh, et al.
(författare)
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Demonstration: A cloud-control system equipped with intrusion detection and mitigation
- 2021
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Ingår i: The Conference on Networked Systems (NetSys 2021).
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Konferensbidrag (refereegranskat)abstract
- The cloud control systems (CCs) are inseparable parts of industry 4.0. The cloud, by providing storage and computing resources, allows the controllers to evaluate complex problems that are too computationally demanding to perform locally. However, connecting physical systems to the cloud through the network can provide an entry point for attackers to infiltrate the system and cause damage with potentially catastrophic consequences. Hence, in this paper, we present a demo of our proposed security framework for CCs and demonstrate how it can detect attacks on this system quickly and mitigate them.
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| 5. |
- Akbarian, Fatemeh, et al.
(författare)
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Detecting and Mitigating Actuator Attacks on Cloud Control Systems through Digital Twins
- 2023
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Ingår i: The 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023). - 9798350301076
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Konferensbidrag (refereegranskat)abstract
- Recently, the industry has been driven to move industrial control systems to the cloud due to the significant advantages it offers in terms of storage and computing resources. However, this shift also brings forth significant security challenges. By moving control systems to the cloud, the potential for attackers to infiltrate the system and launch damaging attacks increases. These attacks can result in severe disruptions and potentially catastrophic consequences. Hence, attack detection and mitigation mechanisms are crucial for cloud control systems. In this paper, we present an approach that leverages the digital twins concept and virtual actuator method to detect and mitigate deception attacks on control signals within cloud control systems. By conducting experiments on a real testbed and subjecting it to a set of attacks, we validate the effectiveness of our solution. Our proposed method successfully detects attacks in a timely manner and keeps the plant stable, with a good performance during the attack.
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| 6. |
- Akbarian, Fatemeh, et al.
(författare)
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Detection and mitigation of deception attacks on cloud-based industrial control systems
- 2022
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Ingår i: 25th Conference on Innovation in Clouds, Internet and Networks (ICIN). - 9781728186887
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Konferensbidrag (refereegranskat)abstract
- In recent years, because the cloud can provide huge advantages regarding storage and computing resources, industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces major security challenges, since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and disruptions with potentially catastrophic consequences. Therefore, intrusion detection and mitigation mechanisms are crucial for cloud-based industrial control systems. In this paper, we propose a method for detection and mitigation of deception attacks on actuator signals in cloud-based industrial control systems. We validate our solution on a real testbed and evaluate its capability by subjecting it to a set of attacks. Our proposed solution can detect the attack in a timely manner and keep the plant stable, with an acceptable performance during the attack.
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| 7. |
- Akbarian, Fatemeh, et al.
(författare)
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Intrusion Detection in Digital Twins for Industrial Control Systems
- 2020
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Ingår i: 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). - 9789532900996
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Konferensbidrag (refereegranskat)abstract
- Nowadays, the growth of advanced technologies is paving the way for Industrial Control Systems (ICS) and making them more efficient and smarter. However, this makes ICS more connected to communication networks that provide a potential platform for attackers to intrude into the systems and cause damage and catastrophic consequences. In this paper, we propose implementing digital twins that have been equipped with an intrusion detection algorithm. Our novel algorithm is able to detect attacks in a timely manner and also diagnose the type of attack by classification of different types of attacks. With digital twins, which are a new concept in ICS, we have virtual replicas of physical systems so that they precisely mirror the internal behavior of the physical systems. So by placing the intrusion detection algorithm in digital twins, security tests can be done remotely without risking negative impacts on live systems.
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| 8. |
- Akbarian, Fatemeh, et al.
(författare)
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Resilient Cloud Control System: Dynamic Frequency Adaptation via Q-learning
- 2024
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Ingår i: 27th Conference on Innovation in Clouds, Internet and Networks (ICIN). - 9798350393774 - 9798350393767
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Konferensbidrag (refereegranskat)abstract
- Traditional control systems face challenges in managing high data loads and computing power, prompting the evolution of Cloud Control Systems (CCS)-a fusion of Networked Control Systems (NCS) and cloud computing. Despite offering manifold advantages, CCS encounters hurdles in navigating the dynamic cloud environment characterized by fluctuating workloads, rendering static frequency settings inefficient. Moreover, the optimal utilization of cloud resources poses a pivotal challenge within CCS operations. To address these, the paper proposes a resilient CCS by adapting system frequency dynamically. Leveraging Q-learning, the approach measures Round Trip Time (RTT) and system output errors, dynamically adjusting the system's frequency to minimize control costs, optimize performance within the dynamic cloud environment, and achieve resource frugality, minimizing resource usage. Through real testbed experiments, this paper evaluates and analyzes the effectiveness of the proposed method, aiming to establish an adaptive and efficient control framework aligned with evolving cloud dynamics.
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| 9. |
- Akbarian, Fatemeh, et al.
(författare)
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Synchronization in Digital Twins for Industrial Control Systems
- 2020
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Konferensbidrag (refereegranskat)abstract
- Digital twins, which are a new concept in industrial control systems (ICS), play a key role in realizing the vision of a smart factory, and they can have different effective use cases. With digital twins, we have virtual replicas of physical systems so that they precisely mirror the internal behavior of the physical systems. Hence, synchronization is necessary to keep the states of digital twins in sync with those of their physical counterparts. Otherwise, their behavior may be different from each other, and it can lead to wrong decisions about the system that can have catastrophic consequences. In this paper, we propose three different architectures for digital twins, and then by investigating their ability to follow the physical system’s behavior, we will determine the best architecture, whose output has the lowest error compared with the physical system’s output.
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| 10. |
- Ali-Eldin, Ahmed, 1985-, et al.
(författare)
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Analysis and characterization of a Video-on-Demand service workload
- 2015
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Ingår i: Proceedings of the 6th ACM Multimedia Systems Conference, MMSys 2015. - New York, NY, USA : ACM Digital Library. - 9781450333511 ; , s. 189-200
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Konferensbidrag (refereegranskat)abstract
- Video-on-Demand (VoD) and video sharing services accountfor a large percentage of the total downstream Internet traf-fic. In order to provide a better understanding of the loadon these services, we analyze and model a workload tracefrom a VoD service provided by a major Swedish TV broad-caster. The trace contains over half a million requests gener-ated by more than 20000 unique users. Among other things,we study the request arrival rate, the inter-arrival time, thespikes in the workload, the video popularity distribution, thestreaming bit-rate distribution and the video duration distri-bution. Our results show that the user and the session ar-rival rates for the TV4 workload does not follow a Poissonprocess. The arrival rate distribution is modeled using a log-normal distribution while the inter-arrival time distributionis modeled using a stretched exponential distribution. Weobserve the “impatient user” behavior where users abandonstreaming sessions after minutes or even seconds of startingthem. Both very popular videos and non-popular videos areparticularly affected by impatient users. We investigate ifthis behavior is an invariant for VoD workloads.
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