A data tracking and monitoring mechanism

Lika, Reyner Aranta; Ramasamy, Daksha A./P V.; Murugiah, Danushyaa A./P; Brohi, Sarfraz Nawaz

Abstract

There is a rising trend among companies to collect data including personally identifiable information (PII) from service users. An individual’s privacy can be violated when his/her PII is accumulated, utilized or divulged. Users of the technology are unable to comprehend what information about them is being utilized, how, when and by whom. With this situation in mind, data transparency is an absolute necessity to combat this issue. Extensive research is being carried out to understand and address the problem. In this research, we propose a security mechanism known as D2TRacker, which can perform data monitoring and data tracking on the processes that are taken on the user’s data and ultimately provides data transparency to these service users. Through the development and execution, the results obtained showed that data transparency could be provided to the system users. Overall, this solution serves as a stepping stone in solving the issues encountered. This solution works as intended in a simulated environment, but deployment in real world would need further enhancements.

• Online Publication Date: May 15, 2020
• Publication Date: Jan 1, 2020
• Deposit Date: Sep 9, 2022
• Publisher: Springer
• Pages: 773-781
• Series Title: Lecture Notes in Networks and Systems book series (LNNS, volume 118)
• Series ISSN: 2367-3389; 2367-3370
• Book Title: Lecture Notes in Networks and Systems book series (LNNS,volume 118)
• ISBN: 978-981-15-3283-2
• DOI: https://doi.org/10.1007/978-981-15-3284-9_89
• Keywords: Networks, Systems, networks and Systems, Data Science, Intelligent Computing, Data Tracking, data monitering
• Public URL: https://uwe-repository.worktribe.com/output/9940944
• Publisher URL: https://link.springer.com/chapter/10.1007/978-981-15-3284-9_89
• Related Public URLs: https://www.springer.com/series/15179