Privacy Preservation for Enterprises Data in Edge Devices

Authors

  • Aaloka Anant CTIF Global Capsule, Aarhus University, Herning, Denmark https://orcid.org/0000-0003-2035-5610
  • Ramjee Prasad CTIF Global Capsule, Aarhus University, Herning, Denmark

DOI:

https://doi.org/10.13052/jicts2245-800X.1015

Keywords:

Privacy Preservation, edge devices, Anonymization, Data security, Enterprise Data protection

Abstract

Privacy becomes the most important topic as user’s data gets more and more widely used and exchanged across internet. Edge devices are replacing traditional monitoring and maintenance strategy for daily used items in households as well as industrial establishments. The usage of technology is getting more and more pervasive. 6G further increases the importance of edge devices in a network as network speeds increase, making the edge device much more powerful element in the network. Edge devices would have massive store and exchange of personal data of the individual. Data privacy forms the primary requirement for accessing data of individuals. Paper presents a novel concept on combination of techniques including cryptography, randomization, pseudonymization and others to achieve anonymization. It investigates in detail how the privacy relevant data of individuals can be protected as well as made relevant for research. It arrives at an interesting and unique approach for privacy preservation on edge devices opening up new business opportunities and make the data subject in charge of their data.

Downloads

Download data is not yet available.

Author Biographies

Aaloka Anant, CTIF Global Capsule, Aarhus University, Herning, Denmark

Aaloka Anant is a researcher at CTIF Global Capsule, Aarhus University, Denmark since October 2019. He attained his Post Graduate degree in Enterprise Management from Indian Institute of Management Bangalore and B.Sc in Electronics and Communication Engineering from BIT Sindri in India. Aaloka has held leadership and senior positions in SAP and Honeywell since 2004 and also worked with start-ups like Idea Device Technologies, MovidDLX, NGeneR and co-founded a non-profit organization Anant Prayas.

He teaches students for Masters program in Data Science subjects for over 3 years as guest Lecturer in National College of Ireland, Dublin. He also has teaching experience at Furtwangen University, Germany. He is actively pursuing research on the topic of Privacy Preservation. His work focusses on new approaches for privacy preservation of Enterprise data and missing technology and structural framework for achieving end-to-end data privacy.

Ramjee Prasad, CTIF Global Capsule, Aarhus University, Herning, Denmark

Ramjee Prasad, Life Fellow IEEE, Fellow IET, IETE, and WWRF, is a Professor of Future Technologies for Business Ecosystem Innovation (FT4BI) in the Department of Business Development and Technology, Aarhus University, Herning, Denmark. He is the Founder President of the CTIF Global Capsule (CGC) and Founder Chairman of the Global ICT Standardisation Forum for India.

He has been honoured by the University of Rome “Tor Vergata”, Italy as a Distinguished Professor of the Department of Clinical Sciences and Translational Medicine. He is Honorary Professor of University of Cape Town, South Africa, and University of KwaZulu-Natal, South Africa. He has received Ridderkorset af Dannebrogordenen (Knight of the Dannebrog).

He has received several international awards such as: IEEE Communications Society Wireless Communications Technical Committee Recognition Award.

He has published more than 50 books, 1000 plus journal and conference publications, more than 15 patents, over 145 PhD Graduates. Several of his students are today worldwide telecommunication leaders themselves.

References

A. Westin, “Privacy And Freedom,” Wash. Lee Law Rev., vol. 25, no. 1, p. 166, Mar. 1968.

T. Takenaka, Y. Yamamoto, K. Fukuda, A. Kimura, and K. Ueda, “Enhancing products and services using smart appliance networks,” CIRP Ann., vol. 65, no. 1, pp. 397–400, Jan. 2016, doi: 10.1016/j.cirp.2016.04.062.

A. K. Jain and B. B. Gupta, “A survey of phishing attack techniques, defence mechanisms and open research challenges,” Enterp. Inf. Syst., vol. 0, no. 0, pp. 1–39, Mar. 2021, doi: 10.1080/17517575.2021.1896786.

“Automatically Granted Permissions in Android apps |Proceedings of the 17th International Conference on Mining Software Repositories.” https://dl.acm.org/doi/abs/10.1145/3379597.3387469 (accessed Nov. 29, 2020).

“Tackling Urban Mobility with Technology,” Google Europe Blog. https://europe.googleblog.com/2015/11/tackling-urban-mobility-with-technology.html (accessed Dec. 18, 2019).

J. Zhao, R. Mortier, J. Crowcroft, and L. Wang, “Privacy-Preserving Machine Learning Based Data Analytics on Edge Devices,” in Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, New York, NY, USA, Dec. 2018, pp. 341–346. doi: 10.1145/3278721.3278778.

X. Lu, Y. Liao, P. Lio, and P. Hui, “Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing,” IEEE Access, vol. 8, pp. 48970–48981, 2020, doi: 10.1109/ACCESS.2020.2978082.

A. Anant and R. Prasad, “State-of-the-art in Privacy Preservation for Enterprise Data,” in 2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC), Oct. 2020, pp. 1–6. doi: 10.1109/WPMC50192.2020.9309459.

S. L. Garfinkel, J. M. Abowd, and S. Powazek, “Issues Encountered Deploying Differential Privacy,” in Proceedings of the 2018 Workshop on Privacy in the Electronic Society, New York, NY, USA, Jan. 2018, pp. 133–137. doi: 10.1145/3267323.3268949.

“Titanic - Machine Learning from Disaster.” https://kaggle.com/c/titanic (accessed Dec. 30, 2020).

L. Sweeney, A. Abu, and J. Winn, “Identifying Participants in the Personal Genome Project by Name (A Re-identification Experiment),” ArXiv13047605 Cs, Apr. 2013, Accessed: Apr. 07, 2021. [Online]. Available: http://arxiv.org/abs/1304.7605

“Introduction to the Mobile Security Testing Guide.” https://mobile-security.gitbook.io/mobile-security-testing-guide/overview/0x03-overview (accessed Apr. 08, 2021).

S.-A. Elvy, “Paying for Privacy and the Personal Data Economy,” Columbia Law Rev., vol. 117, p. 1369, 2017.

“CC 235.1 Federal Act of 19 June 1992 on Data Protection (FADP).” https://www.admin.ch/opc/en/classified-compilation/19920153/index.html (accessed Dec. 30, 2020).

A. Anant and R. Prasad, “Data Privacy Technology for Society,” River Publ., vol. Series in Information Science and Technology, p. 16, doi: 10.13052/rp-9788770222174.

H. Wen, Q. Zhao, Z. Lin, D. Xuan, and N. Shroff, “A Study of the Privacy of COVID-19 Contact Tracing Apps,” in Security and Privacy in Communication Networks, Cham, 2020, pp. 297–317. doi: 10.1007/978-3-030-63086-7_17.

Downloads

Published

2022-02-14

How to Cite

Anant, A. ., & Prasad, R. . (2022). Privacy Preservation for Enterprises Data in Edge Devices. Journal of ICT Standardization, 10(01), 85–104. https://doi.org/10.13052/jicts2245-800X.1015

Issue

Section

6G Enabling Technologies – Innovation 6G