A tensor-network-based big data fusion framework for Cyber–Physical–Social Systems (CPSS)

Zhang, Shunli; Yang, Laurence T.; Feng, Jun; Wei, Wei; Cui, Zongmin; Xie, Xia; Peng, Yan

doi:10.1016/j.inffus.2021.05.014

Cited by 24 publications

(6 citation statements)

References 80 publications

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“…Analysis of the Results: In our experiments, as the total number of 2-dimensional data points increases, the range covering all the data becomes larger while maintaining a constant data density. For example, when the total number is 100, the range is (1,25) × (1,25), and when the total number is 400, the range is (1,50) × (1,50). In MDOPE, when the range is (1,25) × (1,25), the data owner needs 12 bits (5 bits for encoding a split data in the range (1,25), 2 bits for supporting comparability, and 5 random bits appended at the end for security enhancement) to handle the split data in the index.…”

Section: Figure 7 Index Generationmentioning

confidence: 99%

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Enabling Access Control for Encrypted Multi-Dimensional Data in Cloud Computing through Range Search

2023

Teh. vjesn.

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With the growing popularity of cloud computing, data owners are increasingly opting to outsource their data to cloud servers due to the numerous benefits it offers. However, this outsourcing raises concerns about data privacy since the data stored on remote cloud servers is not directly controlled by the owners. Encryption of the data is an effective approach to mitigate these privacy concerns. However, encrypted data lacks distinguishability, leading to limitations in supporting common operations such as range search and access control. In this research paper, we propose a method called RSAC (Range Search Supporting Access Control) for encrypted multi-dimensional data in cloud computing. Our method leverages policy design, bucket embedding, algorithm design, and Ciphertext Policy-Attribute Based Encryption (CPABE) to achieve its objectives. We present extensive experimental results that demonstrate the efficiency of our method and conduct a thorough security analysis to ensure its robustness. Our proposed RSAC method addresses the challenges of range search and access control over encrypted multi-dimensional data, thus contributing to enhancing privacy and security in cloud computing environments.

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Section: Figure 7 Index Generationmentioning

confidence: 99%

“…With the rapid development of the Internet, businesses, organizations, and other institutions are collecting an increasing amount of data [1][2][3]. Driven by lower costs, higher reliability, better performance, and faster deployment, an increasing number of data owners are willing to outsource their data to cloud servers [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Enabling Access Control for Encrypted Multi-Dimensional Data in Cloud Computing through Range Search

2023

Teh. vjesn.

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“…Data Fusion: Data fusion in CPSSs is a very challenging task that is mainly related to how to represent and address higher-order and higher-dimensional heterogeneous data from multiple and heterogeneous sources [94]. Despite the traditional data fusion method that is simply processed from physical devices, in CPSS, social data can be collected on a large scale, multiple resources such as transportation applications and devices such as cars, wearable sensors, medical services, social media/networks application, web browsers, cross languages, heterogeneous networks with different formats and representations, etc.…”

Section: ) Defining a Taxonomy Of Cpssmentioning

confidence: 99%

Cyber-Physical-Social Systems: Taxonomy, Challenges, and Opportunities

2022

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A Cyber-Physical-Social System (CPSS) is a novel paradigm of cyber-physical and cybersocial systems with a highly inhomogeneous and distributed nature integrating dynamic stochastic hybrid systems including computation, communication, sensing and actuation, and social systems. Developments range from isolated devices to homogeneous control systems with specific networks, including smart devices, social networks, and Internet of Things (IoT) devices which are connected to the Internet more than ever. They have changed business models and ecosystems across many disciplines. Their usage can be traced to homes such as smart homes, manufacturers in Industry 5.0, critical infrastructures, smart cities, medicines, healthcare systems, and many other examples. They can simplify and speed up tasks and provide a higher level of control and accessibility. In this study, we provide a systematic review of the definition of CPSS and propose a taxonomy to define CPSS more constructively. Furthermore, the importance of considering human and virtual communities is discussed as one of the main components of cyber-physicalsocial systems, and their relationships with cyber-physical systems. Finally, the issues and opportunities in CPSSs are described.

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“…The explosion of big data has led to millions of datasets available in data lakes, covering fields such as social science, life science, and more [1][2][3]. Access to this data is vital for facilitating reproducible research results, aiding scientists in advancing their work, and providing data journalists with easier access to information and its provenance [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Method for Automatically Generating Join Queries Based on Relations-Attributes Distance Matrix over Data Lakes

2023

Teh. vjesn.

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Techniques for identifying joinable or unionable tables in data lakes can yield valuable information for data scientists. However, more than half of their working time is spent familiarizing themselves with the metadata and correlations of datasets. Simplifying the use of information in data lakes is crucial for enhancing their utilization. The existing solution of integrating correlated relations into a single large data table via full disjunction requires integration updating when either data or metadata changes, complicating data maintenance. This paper proposes a method for automatically generating join queries based on the distance matrix of relations and attributes in data lakes. The distance matrix only requires updating when metadata changes, simplifying data maintenance. Experimental results demonstrate that once the distance matrix is generated, the time required to generate the join queries is negligible. Compared to the existing solution, the time cost for executing join queries over correlated tables is nearly identical to that of selection queries over integrated tables. The results of these two queries are also the same, showcasing the effectiveness and efficiency of our method.

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A tensor-network-based big data fusion framework for Cyber–Physical–Social Systems (CPSS)

Cited by 24 publications

References 80 publications

Enabling Access Control for Encrypted Multi-Dimensional Data in Cloud Computing through Range Search

Enabling Access Control for Encrypted Multi-Dimensional Data in Cloud Computing through Range Search

Cyber-Physical-Social Systems: Taxonomy, Challenges, and Opportunities

A Method for Automatically Generating Join Queries Based on Relations-Attributes Distance Matrix over Data Lakes

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