5G Enabled Codesign of Energy-Efficient Transmission and Estimation for Industrial IoT Systems

Lyu, Ling; Chen, Cailian; Zhu, Shanying; Guan, Xinping

doi:10.1109/tii.2018.2799685

Cited by 95 publications

(23 citation statements)

References 36 publications

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“…erefore, C (3) is the state after the first iteration, and C (7) is the final state after 5 iterations after computing (7). During the reversible process, C (7) , C (6) , C (5) will be taken as the initial reversion state C (0) , C (1) , C (2) , and C (4) will be recovered by C (3) � C (4) as in ( 8):…”

Section: Reversible Linear Cellular Automata With Memorymentioning

confidence: 99%

“…Based on the 5G technique advantages, it is foreseen that 5G will have great potential to handle challenges in various fields, such as smart cities [3], healthcare [4], and industrial control [5], and traffic congestion [6]. In such scenarios, medical images, design drawings, military images, and financial reports [7] always contain massive sensitive information.…”

Section: Introductionmentioning

confidence: 99%

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A Verifiable Steganography-Based Secret Image Sharing Scheme in 5G Networks

Qin

Tan

Zhou

et al. 2021

Security and Communication Networks

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With the development and innovation of new techniques for 5G, 5G networks can provide extremely large capacity, robust integrity, high bandwidth, and low latency for multimedia image sharing and storage. However, it will surely exacerbate the privacy problems intrinsic to image transformation. Due to the high security and reliability requirements for storing and sharing sensitive images in the 5G network environment, verifiable steganography-based secret image sharing (SIS) is attracting increasing attention. The verifiable capability is necessary to ensure the correct image reconstruction. From the literature, efficient cheating verification, lossless reconstruction, low reconstruct complexity, and high-quality stego images without pixel expansion are summarized as the primary goals of proposing an effective steganography-based SIS scheme. Compared with the traditional underlying techniques for SIS, cellular automata (CA) and matrix projection have more strengths as well as some weaknesses. In this paper, we perform a complimentary of these two techniques to propose a verifiable secret image sharing scheme, where CA is used to enhance the security of the secret image, and matrix projection is used to generate shadows with a smaller size. From the steganography perspective, instead of the traditional least significant bits replacement method, matrix encoding is used in this paper to improve the embedding efficiency and stego image quality. Therefore, we can simultaneously achieve the above goals and achieve proactive and dynamic features based on matrix projection. Such features can make the proposed SIS scheme more applicable to flexible 5G networks. Finally, the security analysis illustrates that our scheme can effectively resist the collusion attack and detect the shadow tampering over the persistent adversary. The analyses for performance and comparative demonstrate that our scheme is a better performer among the recent schemes with the perspective of functionality, visual quality, embedding ratio, and computational efficiency. Therefore, our scheme further strengthens security for the images in 5G networks.

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Section: Reversible Linear Cellular Automata With Memorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Verifiable Steganography-Based Secret Image Sharing Scheme in 5G Networks

Qin

Tan

Zhou

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…There are some nascent efforts towards this end. In [102], how 5G can be employed for efficient management of energy in the IIoT has been discussed. The authors of [103] have proposed how blockchain can be used for distributed data storage in the IIoT.…”

Section: Research Directionsmentioning

confidence: 99%

Security and Privacy in the Industrial Internet of Things: Current Standards and Future Challenges

et al. 2020

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The Internet of Things (IoT) is rapidly becoming an integral component of the industrial market in areas such as automation and analytics, giving rise to what is termed as the Industrial IoT (IIoT). The IIoT promises innovative business models in various industrial domains by providing ubiquitous connectivity, efficient data analytics tools, and better decision support systems for a better market competitiveness. However, IIoT deployments are vulnerable to a variety of security threats at various levels of the connectivity and communications infrastructure. The complex nature of the IIoT infrastructure means that availability, confidentiality and integrity are difficult to guarantee, leading to a potential distrust in the network operations and concerns of loss of critical infrastructure, compromised safety of network end-users and privacy breaches on sensitive information. This work attempts to look at the requirements currently specified for a secure IIoT ecosystem in industry standards, such as Industrial Internet Consortium (IIC) and OpenFog Consortium, and to what extent current IIoT connectivity protocols and platforms hold up to the standards with regard to security and privacy. The paper also discusses possible future research directions to enhance the security, privacy and safety of the IIoT.

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“…Accurate energy models are the key. Meanwhile, the co-design approach helps fight against the harsh industrial radio environments by considering both the industrial process state and the transmission energy in search of optimal network operations [97].…”

Section: Introductionmentioning

confidence: 99%

Wireless Network Design for Emerging IIoT Applications: Reference Framework and Use Cases

et al. 2019

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Industrial Internet of Things (IIoT) applications, featured with data-centric innovations, are leveraging the observability, control, and analytics, as well as the safety of industrial operations. In IIoT deployments, wireless links are increasingly used in improving the operational connectivity for industrial data services, such as collecting massive process data, communicating with industrial robots, and tracking machines/parts/products on the factory floor and beyond. The wireless system design for IIoT applications is inherently a joint effort between operational technology (OT) engineers, information technology (IT) system architects, and wireless network planners. In this paper, we propose a new reference framework for the wireless system design in IIoT use cases. The framework presents a generic design process and identifies the key questions and tools of individual procedures. Specifically, we extract impact factors from distinct domains including industrial operations and environments, data service dynamics, and the IT infrastructure. We then map these factors into function clusters and discuss their respective impact on performance metrics and resource utilization strategies. Finally, discussions take place in four exemplary IIoT applications where we use the framework to identify the wireless network issues and deployment features in the continuous process monitoring, discrete system control, mobile applications, and spectrum harmonization, respectively. The goals of this work are twofold: 1) to assist OT engineers to better recognize wireless communication demands and challenges in their plants, 2) to help industrial IT specialists to come up with operative and efficient end-to-end wireless solutions to meet demanding needs in factory environments.

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5G Enabled Codesign of Energy-Efficient Transmission and Estimation for Industrial IoT Systems

Cited by 95 publications

References 36 publications

A Verifiable Steganography-Based Secret Image Sharing Scheme in 5G Networks

A Verifiable Steganography-Based Secret Image Sharing Scheme in 5G Networks

Security and Privacy in the Industrial Internet of Things: Current Standards and Future Challenges

Wireless Network Design for Emerging IIoT Applications: Reference Framework and Use Cases

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