Print Email Facebook Twitter Privacy-Preserving Alpha Algorithm for Software Analysis Title Privacy-Preserving Alpha Algorithm for Software Analysis Author Tillem, G. (TU Delft Cyber Security) Erkin, Z. (TU Delft Cyber Security) Lagendijk, R.L. (TU Delft Intelligent Systems) Department Intelligent Systems Date 2016 Abstract Validation in a big software system can be managed by analysis of its behaviour through occasionally collected event logs. Process mining is a technique to perform software validation by discovering process models from event logs or by checking the conformance of the logs to a process model. A well-known algorithm in process mining to discover process models is alpha algorithm. However, while utilising alpha algorithm is useful for software validation, the existence of some sensitive information in the log files may become a threat for the privacy of users. In this work, we propose a protocol for privacy-preserving alpha algorithm on encrypted data. Our protocol aims to generate process models for a software without leaking any information about its users. It achieves same computational complexity with the original algorithm despite the additional computation overhead. To reference this document use: http://resolver.tudelft.nl/uuid:1ce75cc3-4447-46c3-9f16-945937e9f4e2 Source 37th WIC Symposium on Information Theory in the Benelux / 6th WIC/IEEE SP Symposium on Information Theory and Signal Processing in the Benelux Event 37th WIC Symposium on Information Theory in the Benelux / 6th WIC/IEEE SP Symposium on Information Theory and Signal Processing in the Benelux, 2016-05-19 → 2016-05-20, Université Catholique de Louvain, Louvain, Belgium Part of collection Institutional Repository Document type conference paper Rights © 2016 G. Tillem, Z. Erkin, R.L. Lagendijk Files PDF 11312324.pdf 443.04 KB Close viewer /islandora/object/uuid:1ce75cc3-4447-46c3-9f16-945937e9f4e2/datastream/OBJ/view