A parallel game model‐based intrusion response system for cross‐layer security in industrial internet of things

Yu, Siyang; Wu, Fan; Chen, Bao-Ding; Cao, Ronghui; Yang, Zhibang; Li, Keqin

doi:10.1002/cpe.7826

Cited by 3 publications

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The physical layer security is regarded as the first line of defense for Industrial Internet of Things security [13,14]. This is because physical layer security involves the security of infrastructure such as network devices, sensors, and controllers.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for the Enhancement of Security through Defining the Spatial Secrecy Outage Probability in the Industrial Internet of Things

Liu,

Xu,

Ning

et al. 2024

Electronics

View full text Add to dashboard Cite

The rapid development of the Industrial Internet of Things (IIoT) has brought enormous opportunities to the industrial environment, but has also posed significant challenges to network security, especially physical layer security, which is crucial for the reliable transmission of messages among interconnected devices and sensors. Focusing on enhancing the physical layer security in IIoT communication, this paper proposes a mechanism for the Spatial Secrecy Outage Probability (SSOP) to ensure the secure transmission of data. The SSOP algorithm assumes that the location of legitimate devices is known, while the eavesdropper devices have a random distribution of locations, forming the SSOP model related to the device locations from the perspective of insecure regions (ISRs) and secure regions (SRs), and the closed-form expression for its upper bound is derived. Subsequently, under the constraint of the SSOP conditions, we establish an optimization model with the objective of system throughput maximization based on the Spatial Secrecy Outage Probability (SRM-SSOP). By optimizing the transmission rate of legitimate channels or controlling the transmission power, the maximization of the system throughput can be achieved, thus reducing the consumption of communication resources. Through sophisticated modeling and simulation in MATLAB, we verified the accuracy of the definition and derived the upper bound of the SSOP. The experimental results also show that the SSOP algorithm gradually converges to a specific value as the number of antenna elements increases. In addition, we observed that, when the receiver device is aligned with the normal direction of the transmit antenna array, the SSOP reaches a minimum value. This performance is crucial for understanding and optimizing the security performance of IIoT communication systems.

show abstract

Section: Introductionmentioning

confidence: 99%

A Novel Approach for the Enhancement of Security through Defining the Spatial Secrecy Outage Probability in the Industrial Internet of Things

Liu,

Xu,

Ning

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…The physical layer security is regarded as the first line of defense for industrial Internet security [14,15].This is because physical layer security involves the security of infrastructure such as network devices, sensors, and controllers. These infrastructure are the foundation of industrial Internet operations, and once they are threatened or attacked, it may have a serious impact on the entire network [16,17].…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Enhancement of Security through Defining Spatial Secrecy Outage Probability in Industrial Internet of Things

Liu,

Xu,

Ning

et al. 2024

Preprint

View full text Add to dashboard Cite

The rapid development of the Industrial Internet of Things (IIoT) has brought enormous opportunities to the industrial environment but has also posed significant challenges to network security, especially the physical layer security challenges,which is crucial for the reliable transmission of messages interconnected devices and sensors. Focus on the enhancing the physical layer security in the IIoT communication, this paper proposed a mechanism of Spatial Secrecy Outage Probability (SSOP) to ensure the secure transmission of data. The SSOP algorithm assumes that the location of legitimate device is known, while eavesdropper on the random distribution of device locations, forming the SSOP model related to device locations from the perspective of insecure regions (ISR) and secure regions (SR), and deduce the closed-form expression for its upper bound. Subsequently under the constraint of SSOP conditions, establish an optimization model with the objective of system throughput maximization based on Spatial Secrecy Outage Probability(SRM-SSOP). By optimizing the transmission rate of legitimate channels or controlling the transmission power, the maximization of system throughput can be achieved, thus reducing the consumption of communication resources. Through sophisticated modeling and simulation in the MATLAB, we verified the accuracy of the definition and derived upper bound of SSOP. The experimental results also show that SSOP algorithm gradually converges to a specific value as the number of antenna elements increases. In addition, we observed that when the receiver device is aligned with the normal direction of the transmit antenna array, the SSOP reaches a minimum value. These performance are crucial for understanding and optimizing the security performance of IIoT communication systems.

show abstract

Interpretable Cross-Layer Intrusion Response System Based on Deep Reinforcement Learning for Industrial Control Systems

Chen,

Lai,

Liu

et al. 2024

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

A parallel game model‐based intrusion response system for cross‐layer security in industrial internet of things

Cited by 3 publications

References 37 publications

A Novel Approach for the Enhancement of Security through Defining the Spatial Secrecy Outage Probability in the Industrial Internet of Things

A Novel Approach for the Enhancement of Security through Defining the Spatial Secrecy Outage Probability in the Industrial Internet of Things

A Novel Approach for Enhancement of Security through Defining Spatial Secrecy Outage Probability in Industrial Internet of Things

Interpretable Cross-Layer Intrusion Response System Based on Deep Reinforcement Learning for Industrial Control Systems

Contact Info

Product

Resources

About