Abstract
For real-time industrial wireless edge-enabled cyber-physical systems, this paper proposes an adaptive secure transmission mechanism under the large scale path loss to fight against randomly distributed illegal sensing devices. According to changes in the communication environment, the proposed scheme adaptively obtains the corresponding optimal power allocations and wiretap code rates. Specifically, by injecting artificial noise, an edge controller provides confidential control information for a legitimate wireless sensing device and achieves non-confidential data service for a service subscriber, simultaneously. Considering whether the secrecy and non-confidential service rate constraints are met, a dynamic secrecy transmission mechanism is introduced to minimize secrecy outage probability (SOP) based on random channel realizations. The optimal power allocation for minimizing the SOP is derived through the efficient alternating optimization algorithm with numerical methods. Numerical results show that the proposed adaptive secure transmission strategy can efficiently utilize transmit power to achieve non-confidential information traffic without compromising the secrecy performance.
Highlights
INTRODUCTIONIndustry 4.0, cyber-physical systems (CPS) are heavily utilized to intelligently sense, monitor, and control industrial processes, especially in harsh industrial environments such as high temperatures and rotating parts [1], [2]
This paper presents an adaptive secure transmission mechanism by considering the large scale path loss as well as randomly located advesaries
The main contributions of this paper are summarized as follows: (1) Different from [25]–[29], this paper presents an adaptive secure transmission mechanism with the optimal power allocation and wiretap code rates to fight against any number of randomly located illegal sensing devices for industrial wireless edge-enabled cyber-physical systems (CPS)
Summary
Industry 4.0, cyber-physical systems (CPS) are heavily utilized to intelligently sense, monitor, and control industrial processes, especially in harsh industrial environments such as high temperatures and rotating parts [1], [2]. Motivated by the aforementioned studies, this paper presents that the industrial edge controller ensures the secure data transmission of a legitimate wireless sensing device via assisted AN, while providing data services for another service subscriber. (1) Different from [25]–[29], this paper presents an adaptive secure transmission mechanism with the optimal power allocation and wiretap code rates to fight against any number of randomly located illegal sensing devices for industrial wireless edge-enabled CPS. Assume that statistical channel state informations (CSIs) of adversaries and instantaneous CSIs of legitimate sensing devices are available at the edge server, which is widely-adopted in [31], [32], since adversaries can be the original service subscribers or other business subscribers Both the security control command receiver Bob and the non-confidential service subscriber Charlie request access to the edge side, simultaneously.
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