Security challenges and methods for protecting critical infrastructure cyber-physical systems

Taylor, James M.; Sharif, Hamid

doi:10.1109/mownet.2017.8045959

Cited by 30 publications

(5 citation statements)

References 13 publications

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“…In the O&G field, attacks are directed at the operating domain [20]. The majority of attacks in this sector are denial of service (DoS) attacks, which endanger system availability by flooding the connecting device with requests to jam communication channels and prevent valid requests [21]. In 2012, one of the world's largest oil firms was the victim of a massive cyberattack.…”

Section: Security Risksmentioning

confidence: 99%

Comprehensive Risk Classification and Mitigation in the Petroleum Cyber-Physical Systems of the Oil and Gas Industry

Oudina,

Dib,

Yakoubi

et al. 2024

IJSSE

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The oil and gas (O&G) industry is the engine of the global economy. Oil and gas production passes through axes related to exploration, research, extraction, transportation, and finally the final manufacturing of energy products. All these stages permeate some risks that threaten both the human factor and the material factor. The oil industry merged with the fourth technological industry 4.0, which included multiple technologies and systems, the most important of which is the cyber-physical system (CPS), which some researchers have named petroleum cyber-physical systems if it is embodied within this industry. CPSs are collaborative systems formed of autonomous and smart devices that can handle data flows and activities while maintaining integrated physical objects. Several risks confront the energy field, with the potential to interrupt critical supply lines, hurt the environment, and trigger a financial catastrophe. In the field of O&G, there are very few scientific studies that are exposed to risks in a complementary and comprehensive manner, including only those that focus on cyber-attacks and their causes. There is a lack of comprehension and in-depth studies of all types of threats in all their aspects that surround cyber-physical systems within this field. Some risk classifications are based on internal and external risks, while others are based on the influencing and causative aspects in a general way. This study deals with the classification of risks: 1) classification of risk for the global industry of O&G. 2) in terms of the fact that the cyber-physical system is the most important component in the O&G industry and that these risks are either physical, cyber, or related to permissibility and authorization in the O&G field. A security approach is also presented that leads to mitigating the impact of risks in oil and gas zones.

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Section: Security Risksmentioning

confidence: 99%

Comprehensive Risk Classification and Mitigation in the Petroleum Cyber-Physical Systems of the Oil and Gas Industry

Oudina,

Dib,

Yakoubi

et al. 2024

IJSSE

View full text Add to dashboard Cite

show abstract

“…Later, in 2017, the Molina et al [19] presented a thorough survey on SDN-oriented CPS as well as addressing the cyber security issues of CPS such as physical and logical access to smart devices with the help of access control techniques directed from controller nodes. Taylor et al [20] and Chong et al [21] described privacy and security of CPS besides addressing other security challenges as faced by IoT devices in CPS networks. Later, Chen et al [22] suggested a user authentication protocol for IoT based environment.…”

Section: Related Workmentioning

confidence: 99%

SUSIC: A Secure User Access Control Mechanism for SDN-Enabled IIoT and Cyber–Physical Systems

Irshad

Mallah

Bilal

et al. 2023

IEEE Internet Things J.

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“…Cyber physical systems have capabilities in every physical world component, a high level of authentication, multi-class networking, assimilation at multiple temporal and spatial scales, and dynamic restructuring (7). It connects information technology systems to devices that manage industrial output while also constructing the necessary infrastructure to support our modern network (8).…”

Section: Review Of Literaturementioning

confidence: 99%

Threat Intelligence Model to Secure Iot Based Body Area Network and Prosthetic Sensors

2022

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This research work proposes a threat intelligence model for Internet-of-Things (IoT) sensors-based Body Area Network (BAN). It is focused primarily to be used in healthcare monitoring of vital parameters of critically ill patients and on the contrary performance measurement system for healthy sportspersons. The end-point control based applications are growing enormously with the advent of IoT based sensors and actuators being used in intelligent real-time systems. At the same time, it is expected to keep the ecosystem safe for the user while delivering the constant updates. However, the process for the monitoring health and wellness parameters of a patient, or measuring endurance and performance of a sportsperson, it remains vulnerable without a secure environment. Using the proposed model, the entire healthcare ecosystem may be designed for the personalized medication of a patient who are using sophisticated life-saving device like prosthetic heart valve or an elderly person dependent on medical-aided ambulatory devices or a sportsperson on performance measurement system.

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Security challenges and methods for protecting critical infrastructure cyber-physical systems

Cited by 30 publications

References 13 publications

Comprehensive Risk Classification and Mitigation in the Petroleum Cyber-Physical Systems of the Oil and Gas Industry

Comprehensive Risk Classification and Mitigation in the Petroleum Cyber-Physical Systems of the Oil and Gas Industry

SUSIC: A Secure User Access Control Mechanism for SDN-Enabled IIoT and Cyber–Physical Systems

Threat Intelligence Model to Secure Iot Based Body Area Network and Prosthetic Sensors

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