An efficient blind filter: Location privacy protection and the access control in FinTech

Li, Zhidan; Li, Wenmin; Wen, Qiaoyan; Chen, Jiageng; Yin, Wei; Liang, Kaitai

doi:10.1016/j.future.2019.04.026

Cited by 20 publications

(11 citation statements)

References 18 publications

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“…This method improves the effect of privacy protection, but does not solve the problem of sorting query results. Li et al 8 proposed a cipher‐text location query method in square area. Kim et al 9 proposed a location data security query method based on homomorphic encryption, and the sorting of query results is realized, but the efficiency is too low.…”

Section: Related Workmentioning

confidence: 99%

“…Because all the location data in the invalid regions are retrieved, the query efficiency is low. Some methods 8,9 divide the spatial region into several small query regions, which reduces the invalid query, but the encryption and query processing algorithms is complex, so the query efficiency is not high. In some methods, 10‐12 the two‐dimensional coordinates of spatial location are transformed into one‐dimensional data, which makes the encryption and query operation more convenient, but the top‐ k sorting of cipher‐text query result is not realized.…”

Section: Introductionmentioning

confidence: 99%

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A location privacy protection method based on cipher‐text retrieval in cloud environment

Zhang

Jiang

et al. 2022

Security and Privacy

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In order to improve the efficiency of location query and the effect of privacy protection in cloud environment, a location privacy protection method based on cipher-text retrieval was proposed. Firstly, the spatial area is divided into several square grids, and the big Morton code of each location is calculated, the spatial area in the grid is divided again, and the small Morton code of each location is calculated. Secondly, the location data is encrypted by the combination of public key encryption and scrambling encryption, and then outsourced to the cloud server. When querying the location data of the interest points, the query request is sent to the data owner. After obtaining the query trapdoor and the private key, the query trapdoor is sent to the location data server for query. On the server side, the interest points in the region are found according to the cipher-text matching, and the cipher-text top-k sorting is implemented. Finally, the cipher-text query results are decrypted into plaintext by the private key. Experimental results show that the proposed method ensures the location data privacy, and improves query efficiency. At the same time, the balance between privacy protection security and query quality is achieved.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A location privacy protection method based on cipher‐text retrieval in cloud environment

Zhang

Jiang

et al. 2022

Security and Privacy

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“…In Article 26 paragraph (1) of Law 19/2016 on Electronic Information and Transactions (ITE), personal rights include enjoying a private life (free from interference), the right to communicate with others, and the right to access information. Previous studies have proposed a financial service provider location-based service (LBS) framework, including a discussion of user privacy ( Li et al., 2019a , b ).…”

Section: The Relationship Between the Findings And P2p Lending Practicesmentioning

confidence: 99%

Detection of fintech P2P lending issues in Indonesia

Suryono

Budi

Purwandari

2021

Heliyon

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Financial technology (fintech) is a growing industry in Indonesia, supported by advances in the technological infrastructure. At the end of 2019, the Financial Services Authority (OJK), the financial authority in Indonesia, recorded 164 registered and licensed fintech (P2P lending) companies. However, since early 2018, the Investment Alert Task Force (SWI) and the Ministry of Communication and Information Technology have blocked 1,350 illegal fintech platforms. Illegal fintech lending practices have mechanisms beyond the responsibility and authority of the OJK, including the risk of collection and distribution of personal data. The essence of this study is to discuss the landscape of fintech P2P lending in Indonesia from Indonesian Online News data, explore cases of fintech p2p lending in Indonesia, and understand the rules and policies. Qualitative research with a case study approach and Focus Group Discussion techniques were used to obtain data from 4 stakeholders in the Fintech P2P Lending Industry in Indonesia. VOS Viewer software is used to build keywords from Indonesian Online News collections, NVIVO 12 qualitative software is used to assist data analysis. The research found the keyword clusters most frequently discussed in the Indonesian Online News collection and five case themes such as public awareness about P2P lending (user understanding), data leakage, and restriction of data access, including personal data protection, personal data fraud, illegal fintech lending, and Product marketing ethics.

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“…Furthermore, location-based services commonly carry user's movement privacy, such that devices and applications have become common attack targets [19], [69]. Additionally, a Privacy-Preserving Location-Based Service (LBS) framework based on fine-grained access control and transformation technique proposed by Li et al [70], which supports the query area around the user location and allows filtering out the redundant encrypted records in a blind way. Hence, the level of privacy protection is increased by the finegrained approach but the problem of time latency is restricting the applications in FinTech [71], [72].…”

Section: Financial Privacy Protection Issues In Fintechmentioning

confidence: 99%

Towards Secure FinTech: A Survey, Taxonomy, and Open Research Challenges

et al. 2020

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Financial Technology (FinTech) has attracted a wide range of attention and is rapidly proliferating. As a result of its consistent growth new terms have been introduced in this domain. The term 'FinTech' is one such terminology. This term is used for describing various operations that are being frequently employed in the financial technology sector. These operations are usually practiced in enterprises or organizations and provide requested services by using Information Technology based applications. The term does take into account various other sensitive issues, like, security, privacy, threats, cyber-attacks, etc. This is important to note that the development of FinTech is indebted to the mutual integration of different state of the art technologies, for example, technologies related to a mobile embedded system, mobile networks, mobile cloud computing, big data, data analytics techniques, and cloud computing etc. However, this technology is facing several security and privacy issues that are much needed to be addressed in order to improve the acceptability of this new technology among its users. In an effort to secure FinTech, this article provides a comprehensive survey of FinTech by reviewing the most recent as well as anticipated financial industry privacy and security issues. It provides a comprehensive analysis of current security issues, detection mechanisms and security solutions proposed for FinTech. Finally, it discusses future challenges to ensure the security and privacy of financial technology applications.

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An efficient blind filter: Location privacy protection and the access control in FinTech

Cited by 20 publications

References 18 publications

A location privacy protection method based on cipher‐text retrieval in cloud environment

A location privacy protection method based on cipher‐text retrieval in cloud environment

Detection of fintech P2P lending issues in Indonesia

Towards Secure FinTech: A Survey, Taxonomy, and Open Research Challenges

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