Property Rights In Medical And Healthcare Office Space And Healthcare Facility Investments: Healthcare Investments, Medical Property Management, And Healthcare Real Estate – Open Access Policy Institutional Open Access Program Guidelines for Special Issues Editorial Process Research and Publication Ethics Article Processing Fees Awards References

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Property Rights In Medical And Healthcare Office Space And Healthcare Facility Investments: Healthcare Investments, Medical Property Management, And Healthcare Real Estate

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By Rafik Hamza Rafik Hamza Scilit Preprints.org Google Scholar 1, * and Hilmil Pradana Hilmil Pradana Scilit Preprints.org Google Scholar 2

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This article is an extended version of our article published in Hamza, R.; Dao, M.S.; Ito, S.; Koji, Z. Towards the protection of intellectual property rights in Big Data. In Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Mining, Newark, New Jersey, USA, June 27–30, 2022.

Received: September 20, 2022 / Revised: October 23, 2022 / Accepted: November 3, 2022 / Published: November 8, 2022

(This article is among the selected articles of the special issue of the third workshop on intelligent cross-data analysis and mining)

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Big Data applications have the potential to transform any digital business platform by enabling the analysis of large amounts of data. However, the biggest problem for Big Data is breaking down the intellectual property barriers that hinder the use of this data, especially in applications involving multiple databases. Fulfilling this commitment and overcoming the difficulties associated with big data remains a challenge, although intellectual property restrictions have been introduced to limit misuse and regulate access to big data. This study examines the scope of intellectual property rights in big data applications along with security frameworks that protect intellectual property rights, watermarks, and fingerprinting algorithms. The emergence of Big Data requires the development of new conceptual frameworks, security standards and regulations. This study discusses the significant copyright difficulties in multi-database platforms and the paradigm shift from ownership to control of access and use of big data, particularly on these platforms. We provide a comprehensive overview of the application of copyright to multimedia data and a summary of the main trends in the intellectual property protection discussion, highlighting important issues and existing obstacles, and identifying three main conclusions from examining the relationship between them.

Japan’s “Society 5.0” initiative envisions a people-centric society that combines economic progress through the use of artificial intelligence and Big Data capabilities [1]. As part of Society 5.0, the Japanese government and the IT industry are collaborating to effectively integrate technological developments, especially in artificial intelligence and Big Data, through cloud platforms [2, 3]. To develop these technologies, the Japanese government offers several ways to enhance and integrate them based on different types of data such as images, videos, historical data, and signals. This type of data is widely used in various application technologies to solve their problems. The Japanese government’s initiative was primarily aimed at linking economic progress with solving social problems. After the era of 5G and artificial intelligence, Society 5.0 is a potential technological framework that can revolutionize the world in information technology, especially in the areas of fin-tech (financial technology), healthcare, mobility and other infrastructure. Japan’s future goal is to build a “super intelligent society” that will improve people’s quality of life in a more sustainable way [4].

Integrating cutting-edge technology into all aspects of human life will create data sets that will have multiple impacts on people and institutions. To the benefit of data, many researchers can build their models to improve their technologies and achieve significant impact on all aspects of the application. All this data is combined to create Big Data, which can be used in various industries such as medicine, banking and online advertising. The ability to absorb extremely large amounts of information, effectively analyze and understand it, and then draw conclusions and interpretations is called “big data analytics” in this context.

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Data has value or expected value and is documented or should be documented. This is called “information value” [5]. This area concerns techniques such as collecting data needed to provide a “service” and sending the information to the appropriate party. Requiring uniform security methods for all information assets is impractical because IoT devices and the data processed may vary depending on the service offered. Data security and privacy are fundamental issues faced by both governments and companies that process huge amounts of data. Most IT companies regularly collect, transport, store, and analyze large data sets, which poses serious privacy issues [6, 7]. The implementation of the “Society 5.0” initiative is complicated by these issues. Recently, much attention has been paid to data protection to improve privacy in its use, storage and transmission [8, 9, 10]. Thanks to cryptographic security approaches such as homomorphic encryption and blockchain, data sets of any size can now be kept secure and effective while being transmitted over the network and stored in a data warehouse [11, 12, 13].

In this paper, we study the protection of intellectual property rights in Big Data applications [11]. The main contributions are three:

The article has the following structure: Section 2 defines, organizes and interprets works related to the protection of intellectual property rights. Non-technical solutions to protect intellectual property rights are discussed in more detail in Section 3. An overview of technical solutions is discussed in Section 4. We then discuss current applications of copyright to multimedia data in Section 5. In the last section, we conclude the article. paper.

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Unlike current digital rights management technology, which has evolved into a systems engineering approach that covers the entire lifecycle of digital works, traditional data rights management focuses solely on encryption and authorization. An area-of-interest-based IP protection strategy with mathematical polynomial transformation was described by Murali et al. [14]. In their work, they investigated the proposed framework and found that it can increase resistance to image manipulation and other types of attacks and replace the main secret data sharing method in the presented ownership model.

Devi et al. [15] presented a steganography method based on visual cryptography, encrypted singular value decomposition, and applied it to copyright protection of digital images. This method has been shown to outperform the visual encryption algorithm in its ability to independently authenticate the copyright of digital images and resist various types of image processing attacks. Liang et al. [9] developed a security system with verification methods that ensure effective data protection using a decentralized mesh node approach and multimedia data security technology. However, little research has examined copyright protection of information resources, and most current research has focused on copyright protection of multimedia datasets or a specific type of data.

We address the issues and difficulties associated with securing intellectual property rights for information assets to fill the above-mentioned gaps. A review of the literature revealed several definitions of intellectual property rights and the categories they fall into. The main categories of intellectual property rights are shown in Figure 1: database rights, patents, designs, artists’ rights, copyrights and trademarks. Table 1 shows some examples of information assets that need to be protected. A security asset in this context is described as “a valuable asset that must be protected” [16].

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If used effectively, intellectual property rights can maximize the benefits and value of creativity while supporting the development, protection and commercialization of innovative technologies, even if they appear to provide only a moderate degree of certainty. For this reason, we decided to focus our study on copyright protection and patent protection as the two most important types of intellectual property protection.

When a work is created, copyright arises immediately. This brings numerous benefits to those who contribute or create, but it also creates problems for those who control the data and want to see public interest in their works, which are also publicly available. Until recently, creators had the option of allowing artists to publish their works. Customers can freely and safely use content protected in this domain. Intellectual property owners always have the opportunity to defend their rights if they are accused by other users of violating their rights [17].

As with all new products, copyright claims must be made

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