Network security analysis SCADA system automation on industrial process

Hilal, Hamzah; Nangim, Anas

doi:10.1109/bcwsp.2017.8272569

Cited by 12 publications

(6 citation statements)

References 4 publications

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“…Some researchers also investigated issues and proposed solutions for forensics in specific areas of CPS. One area is concerning SCADA (Supervisory Control and Data Acquisition), which is used for monitoring and controlling industrial facilities such as oil and gas refineries as illustrated in [58][59][60]. Other areas include the electrical power grid [61], smart homes [62], smart cities [63], connected vehicles [64], and additive manufacturing systems [65].…”

Section: Related Workmentioning

confidence: 99%

Cyber–Physical Systems Forensics: Today and Tomorrow

Mohamed

Al-Jaroodi

Jawhar

2020

JSAN

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Cyber–Physical Systems (CPS) connect the physical world (systems, environments, and humans) with the cyber world (software, data, etc.) to intelligently enhance the operational environment they serve. CPS are distributed software and hardware components embedded in the physical world and possibly attached to humans. They offer smart features, such as enhancing and optimizing the reliability, quality, safety, health, security, efficiency, operational costs, sustainability, and maintainability of physical systems. CPS are also very vulnerable to security attacks and criminal activities. In addition, they are very complex and have a direct impact on their environment. Therefore, it is hard to detect and investigate security attacks, while such attacks may have a catastrophic impact on the physical world. As a result, CPS must incorporate security measures in addition to suitable and effective forensics capabilities. When the security measures fail and an attack occurs, it becomes imperative to perform thorough forensics analysis. Adding effective forensics tools and capabilities will support the investigations of incidents. This paper defines the field of CPS forensics and its dimensions: Technical, Organizational, and Legal. Then, it reviews examples of current research efforts in the field and the types of tools and methods they propose for CPS forensics. In addition, it discusses the issues and challenges in the field that need to be addressed by researchers and developers of CPS. The paper then uses the review outcomes to discuss future research directions to address challenges and create a more effective, efficient, and safe forensics tools and for CPS. This discussion aims to create a starting point for researchers where they can identify the gaps and challenges and create suitable solutions through their research in CPS forensics.

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Section: Related Workmentioning

confidence: 99%

Cyber–Physical Systems Forensics: Today and Tomorrow

Mohamed

Al-Jaroodi

Jawhar

2020

JSAN

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“…Attacks can occur at all layers from the supervisory level to the field instrumentation level [15]. The most common attacks are outlined in Table 1A and 1B [15]- [19].…”

Section: Attacks On Scada Networkmentioning

confidence: 99%

A Survey of Security in SCADA Networks: Current Issues and Future Challenges

2019

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Supervisory Control and Data Acquisition (SCADA) systems are used for monitoring industrial devices. However, their security faces the threat of being compromised due to the increasing use of open access networks. The primary objective of this survey paper is to provide a comparative study of the on-going security research in SCADA systems. The paper provides a classification of attacks based on security requirements and network protocol layers. To secure the communication between nodes of SCADA networks, various security standards have been developed by different organizations. We conduct a study of the security standards developed for SCADA networks along with their vulnerabilities. Researchers have proposed various security schemes to overcome the weaknesses of SCADA standards. The paper organizes security schemes based on current standards, detection, and prevention of attacks. It also addresses the future challenges that SCADA networks may face, in particular, from quantum attacks. Furthermore, it outlines directions for further research in the field.INDEX TERMS Asymmetric cryptography, intrusion detection system, key management protocol, n-ary tree, symmetric cryptography, SCADA networks.A communication link is shared between the MSU and Remote Station Units. Various types of communication links may be used, such as wired ethernet, WiFi or satellite link.SCADA system architectures have four typical architectural styles [13]:

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“…This control systems support real time monitor and control devices. These systems consist of central controller and assign devices such as sensors and actuators the data transfer between the components utilized communication protocols used in industrial operations.in [3] represent logical analysis for threats, attacks, and how to mitigate these attacks in SCADA field. In [4] show the requirements, and the characteristics of communication system technologies.…”

Section: Introductionmentioning

confidence: 99%

“…After that in section . 3 Provides vulnerabilities of this protocol. These vulnerabilities result in attacks which mentioned in section .4. besides that, in section .5. the paper introduces a dataset to apply the deep learning algorithms.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning based Attacks Detection of DNP3 Protocol

Yahia

Eldien²,

Abdel-Rahim³

2022

Aswan University Journal of Sciences and Technology

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SCADA systems contain many important components that communicate with each other through communication protocols designed for SCADA systems. This paper concerns distributed network protocol 3 (DNP3), which is considered a sufficient, trustworthy, and standard protocol for improving communications between multiple vendors. The vulnerabilities of this protocol form a disaster threat over the whole system, so this paper mentions these weakness points of this protocol. Also, the paper mentions the different types of attacks that exploit these vulnerabilities. So, it is necessary for researchers to continuously study mitigating these attacks without affecting the efficiency of the system. This goal is introduced in deep learning model algorithms dependent on neural networks. This paper introduces an ensemble deep learning algorithm (autoencoders) with decision tree (DT) multiple classification and support vector machine (SVM) multiple classification. After that, applying these two classifications models to a dataset to study the efficiency of each model and compares the results between each of them using performance metrics of deep learning algorithms and confusion matrixes which show the accuracy of each classifier.

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Network security analysis SCADA system automation on industrial process

Cited by 12 publications

References 4 publications

Cyber–Physical Systems Forensics: Today and Tomorrow

Cyber–Physical Systems Forensics: Today and Tomorrow

A Survey of Security in SCADA Networks: Current Issues and Future Challenges

Deep Learning based Attacks Detection of DNP3 Protocol

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