Differential privacy in edge computing-based smart city Applications:Security issues, solutions and future directions

Yao, Aiting; Li, Gang; Li, Xuejun; Jiang, Frank; Xu, Jia; Liu, Xiao

doi:10.1016/j.array.2023.100293

Cited by 8 publications

(3 citation statements)

References 87 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this shift has also led to an expansion of potential vulnerabilities due to the intricate nature of largescale frameworks, resulting in increased points of entry from diverse sources [231], [232]. Addressing the future security concerns associated with safeguarding these control systems involves the utilization of security platforms hosted in the cloud [233]. To illustrate, consider innovative platforms that exemplify this approach: Cloud PLC Prototype: A cuttingedge concept known as the "cloud PLC 3 " employs the substantial analytical capabilities of cloud computing resources.…”

Section: E Computing Based On Cloudmentioning

confidence: 99%

Security of Programmable Logic Controllers and Related Systems: Today and Tomorrow

Alsabbagh,

Langendörfer

2023

IEEE Open J. Ind. Electron. Soc.

View full text Add to dashboard Cite

Programmable Logic Controllers (PLCs) are indispensable in Critical Infrastructures (CIs) and Industrial Control Systems (ICSs). The increasing demand for enhanced cost-effectiveness and production efficiency has driven automation manufacturers to integrate PLC based applications and systems with external networks, such as Internet. Unfortunately, this connectivity has exposed systems to potential malicious attacks from motivated adversaries. Addressing this pressing issue necessitates a comprehensive summary of ongoing research related to PLCs and their related systems. This summary should classify these systems based on disclosed vulnerabilities, potential threats, and proposed security solutions, catering to both scientists and industrial engineers. While several recent surveys have reviewed and discussed PLC security and related topics, they often fell short of covering all essential aspects comprehensively. Furthermore, prior surveys tended to focus on analyzing vulnerabilities at the system level, overlooking the vulnerabilities specific to PLCs themselves. Consequently, their findings failed to effectively secure current operational systems or propose improved solutions for future PLC designs. In this paper, we bridge this research gap by providing a detailed review of all aspects concerning the security of PLCs and related systems. This includes vulnerabilities, potential attacks, security solutions including digital forensics. We aim to offer a precise analysis, addressing the shortcomings of previous studies. Finally, we conclude the paper by presenting our recommendations tailored for PLC manufacturers, researchers and engineers. We hope that these recommendations will contribute to the development of more secure PLCs in the future.

show abstract

Section: E Computing Based On Cloudmentioning

confidence: 99%

Security of Programmable Logic Controllers and Related Systems: Today and Tomorrow

Alsabbagh,

Langendörfer

2023

IEEE Open J. Ind. Electron. Soc.

View full text Add to dashboard Cite

show abstract

“…Increased attack surface: Since data processing and storage happen on the edge devices themselves, edge computing gives hackers more ways to get in. This makes the attack area bigger and makes it more likely that someone will get in without permission, steal data, or get malware [51]. 2.…”

Section: Challenges In Integrating Edge Computing and Industry 50 In ...mentioning

confidence: 99%

Advancing Medical Device Manufacturing: The Convergence of Edge Computing and Industry 5.0

kumar Dave

2023

IJEAST

View full text Add to dashboard Cite

The integration of edge computing and Industry 5.0 has the potential to revolutionize medical device manufacturing, enhancing the effectiveness, functionality, and safety of medical devices. This research article explores the opportunities and challenges associated with this convergence in the medical device sector. The paper highlights how edge computing enables real-time data processing and analysis at the production site, leading to enhanced real-time monitoring, diagnostics, and predictive maintenance for medical devices. Additionally, Industry 5.0 principles promote human-robot collaboration, personalized healthcare, and intelligent decision-making through data analytics and AI. The paper also addresses the challenges of cybersecurity, privacy concerns, scalability, network infrastructure, and interoperability issues in the implementation of edge computing and Industry 5.0. The article emphasizes the importance of standardized communication protocols and data formats to ensure seamless interoperability. Lastly, it outlines potential areas of research and development, such as realtime analytics, cybersecurity, and human-robot collaboration, to further enhance the integration of edge computing and Industry 5.0 in medical device manufacturing. Researchers, manufacturers, and policymakers stand to benefit from a comprehensive understanding of the opportunities and challenges, enabling the development of strategies to drive positive industry-wide outcomes in medical device manufacturing.

show abstract

“…This can make traditional cloud computing architectures inadequate in meeting the speed requirements of the IIoT [2]. Taking smart cities as an example, with the increasing amount of edge data and the growing demand for encryption, it has been shown that large-scale centralized server clusters in cloud computing are insufficient to meet the needs of rapidly expanding intelligent IoT systems [3].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Memory Allocation Strategy in Edge Programmable Logic Controllers Based on Dynamic Programming and Fixed-Size Allocation

Cheng,

Wan,

Ding

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

With the explosive growth of data at the edge in the Industrial Internet of Things (IIoT), edge devices are increasingly performing more data processing tasks to alleviate the load on cloud servers. To achieve this goal, Programmable Logic Controllers (PLCs) are gradually transitioning into edge PLCs. However, efficiently executing a large number of computational tasks in memory-limited edge PLCs is a significant challenge. Therefore, there is a need to design an efficient memory allocation strategy for edge PLCs. This paper proposes a dynamic memory allocation strategy for edge PLCs. It adopts an approach of organizing memory into small blocks to handle memory requests from real-time tasks and utilizes a well-performing dynamic programming method for resource allocation problems to handle memory requests from non-real-time tasks. This approach ensures real-time performance while improving the efficiency of non-real-time task processing. In the simulation experiments, the algorithm implemented based on this allocation strategy is compared with the default method and several open-source memory allocators. The experimental results demonstrate that the proposed algorithm, on average, improves the speed of real-time task processing by 13.7% and achieves a maximum speed improvement of 17.0% for non-real-time task processing. The experimental results show that the allocation strategy effectively improves memory allocation efficiency in memory-limited environments.

show abstract

Differential privacy in edge computing-based smart city Applications:Security issues, solutions and future directions

Cited by 8 publications

References 87 publications

Security of Programmable Logic Controllers and Related Systems: Today and Tomorrow

Security of Programmable Logic Controllers and Related Systems: Today and Tomorrow

Advancing Medical Device Manufacturing: The Convergence of Edge Computing and Industry 5.0

Memory Allocation Strategy in Edge Programmable Logic Controllers Based on Dynamic Programming and Fixed-Size Allocation

Contact Info

Product

Resources

About