| Title |
A Topsis-Based Approach To Evaluate Alternative Solutions For Gdpr-Compliant Smart-City Services Implementation |
| ID_Doc |
5603 |
| Authors |
Campanile L.; Iacono M.; Mastroianni M.; Riccio C.; Viscardi B. |
| Year |
2026 |
| Published |
Lecture Notes in Computer Science, 15893 LNCS |
| DOI |
http://dx.doi.org/10.1007/978-3-031-97645-2_20 |
| Abstract |
Adapting or designing a system which operates on personal data in EU is impacted by the privacy-by-design and privacy-by-default principles because of the prescriptions of the GDPR. In this paper we propose an approach to decision making which is based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The approach is applied to a GDPR system compliance design process, based on a case study about system performance evaluation by means of queuing networks, but is absolutely general with respect to analogous problems, in which cost issues should be balanced with technical performances and risk exposure. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. |
| Author Keywords |
Data management; Decision support; GDPR; Information systems; Performance evaluation; Privacy; Queuing networks; Risk Analysis; Risk Assessment |
