Thought off-line sanitization methods for bank transactions

Isaias Hoyos; Miguel Nunez-del-Prado

doi:10.1007/978-3-030-11680-4_25

Thought off-line sanitization methods for bank transactions

Isaias Hoyos, Miguel Nunez-del-Prado

Universidad del Pacífico

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the digital era, people generate a lot of digital traces ranging from posts on social networks, call detail records and credit or debit banks transactions among others. These data could help society to understand different urban phenomena such as what citizens are talking about, how they commute or what are their spending behaviors. Therefore, the use of such data trigger privacy issues. In the present effort, we study four different Statistical Disclosure Control filters to sanitize off-line credit or debit bank transactions. Consequently, we analyze Noise Addition, Microaggregation, Rank Swapping and Differential Privacy filters concerning Disclosure Risk, Information Loss, and utility. We observed that Microaggregation and Different Privacy perform very well for minimizing Disclosure Risk while providing a good utility for statistics of spending amounts per industry type.

Original language	English
Title of host publication	Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings
Editors	Hugo Alatrista-Salas, Denisse Muñante, Juan Antonio Lossio-Ventura
Place of Publication	Cham
Pages	257-264
Number of pages	8
ISBN (Electronic)	9783030116798
DOIs	https://doi.org/10.1007/978-3-030-11680-4_25
State	Published - 1 Jan 2019
Event	Communications in Computer and Information Science - Duration: 1 Jan 2019 → …

Publication series

Name	Communications in Computer and Information Science
Volume	898
ISSN (Print)	1865-0929

Conference

Conference	Communications in Computer and Information Science
Period	1/01/19 → …

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

Differential Privacy
Microaggregation
Privacy filters
Statistical Disclosure Control (SDC)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-11680-4_25

Cite this

Hoyos, I., & Nunez-del-Prado, M. (2019). Thought off-line sanitization methods for bank transactions. In H. Alatrista-Salas, D. Muñante, & J. A. Lossio-Ventura (Eds.), Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings (pp. 257-264). (Communications in Computer and Information Science; Vol. 898).. https://doi.org/10.1007/978-3-030-11680-4_25

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Hoyos, I & Nunez-del-Prado, M 2019, Thought off-line sanitization methods for bank transactions. in H Alatrista-Salas, D Muñante & JA Lossio-Ventura (eds), Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings. Communications in Computer and Information Science, vol. 898, Cham, pp. 257-264, Communications in Computer and Information Science, 1/01/19. https://doi.org/10.1007/978-3-030-11680-4_25

Thought off-line sanitization methods for bank transactions. / Hoyos, Isaias; Nunez-del-Prado, Miguel.
Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings. ed. / Hugo Alatrista-Salas; Denisse Muñante; Juan Antonio Lossio-Ventura. Cham, 2019. p. 257-264 (Communications in Computer and Information Science; Vol. 898).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Thought off-line sanitization methods for bank transactions

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this