Towards privacy-anomaly detection: Discovering correlation between privacy and security-anomalies
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Published version
Date
2020-08-06
Authors
Khan, Muhammad Imran
Foley, Simon N.
O'Sullivan, Barry
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Published Version
Abstract
In this paper a notion of privacy-anomaly detection is presented where normative privacy is modelled using k-anonymity. Based on the model, normative privacy-profiles are constructed, and deviation from normative privacy-profile at runtime is labelled as a privacy-anomaly. Furthermore, the paper investigates whether there is a correlation between security-anomalies and privacy-anomalies, that is, whether the privacy-anomalies labelled by privacy-anomaly detection system are detected by conventional security-anomaly detection system used for detecting malicious accesses to databases by insiders.
Description
Part of special issue: The 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), The 15th International Conference on Future Networks and Communications (FNC),The 10th International Conference on Sustainable Energy Information Technology
Keywords
Anomaly detection , Anonymization , Electronic privacy , K-anonymity , Relational databases
Citation
Khan, M. I., Foley, S. N. and O’Sullivan, B. (2020) 'Towards Privacy-anomaly Detection: Discovering Correlation between Privacy and Security-anomalies', Procedia Computer Science, 175, pp. 331-339. doi: 10.1016/j.procs.2020.07.048