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Efficient and Secure Data Storage in 5G Industrial Internet Collaborative Systems
Wang Jigang, Liu Dong, Wan Changsheng, Lu Ping
ZTE Communications    2026, 24 (1): 45-55.   DOI: 10.12142/ZTECOM.202601007
Abstract2)   HTML0)    PDF (656KB)(0)       Save

Security and access control for data storage in 5G industrial Internet collaborative systems are facing significant challenges. The characteristics of 5G networks, such as low latency and high speed, facilitate data transmission in the industrial Internet but also increase vulnerability to attacks like theft and tampering. Moreover, in 5G industrial Internet collaborative system environments, data flows across multiple entities and links, which necessitates a flexible access control model to meet specific data access requirements. Traditional role-based and attribute-based access control mechanisms are difficult to apply in such dynamic application scenarios. To address these challenges, we propose a novel data storage solution for 5G industrial Internet collaborative systems. Similar to existing approaches, it provides integrity and confidentiality protection for transmitted data. In terms of security, only authenticated data owners and users can obtain file decryption keys, preventing malicious attackers from data forgery. Regarding access control, decryption is permitted only to authorized data users, safeguarding against unauthorized file access. Furthermore, by introducing an attribute-based encryption mechanism, only data users with specific attributes can decrypt files. In terms of efficiency, our approach utilizes bilinear and modular exponentiation operations solely during the authentication process. For handling substantial data loads, lightweight cryptographic algorithms are employed. Consequently, our solution achieves higher efficiency compared with other known methods. Experimental results demonstrate the feasibility of our approach in real-world applications.

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A Low-Cost Outdoor Fingerprinting Localization Scheme For Wireless Cellular Networks
PEI Dengke, XU Xiaodong, QIN Xiaowei, LIU Dongliang, ZHAO Chunhua
ZTE Communications    2019, 17 (3): 42-49.   DOI: 10.12142/ZTECOM.201903007
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This paper considers outdoor fingerprinting localization in LTE cellular Networks, which can localize non-cooperative user equipment (UEs) that is unwilling to provide Global Positioning System (GPS) information. We propose a low-cost fingerprinting localization scheme that can improve the localization accuracy while reducing the computational complexity. Firstly, a data filtering strategy is employed to filter the fingerprints which are far from the target UE by using the Cell-ID, Timing Advance (TA) and eNodeB environment information, and the distribution of TA difference is analyzed to guide how to use TA rationally in the filtering strategy. Then, improved Weighted K Nearest Neighbors (WKNN) are implemented on the filtered fingerprints to give the final location prediction, and the WKNN is improved by removing the fingerprints that are still far away from the most of the K neighbors. Experiment results show that the performance is improved by the proposed localization scheme, and positioning errors corresponding to Cumulative Distribution Function (CDF) equaling to 67% and 95% are declined to 50 m and 150 m.

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