SAFAIR AI Contest
from 1st March to 31st May
All accepted publications from SPARTA partners under its funding.
Accidental Sensitive Data Leaks Prevention via Formal Verification
Madalina G. Ciobanu, Fausto Fasano, Fabio Martinelli, Francesco Mercaldo, Antonella SantoneAbstract
Our mobile devices, if compared to their desktop counterpart, store a lot of sensitive and private information. Considering how easily permissions to sensitive and critical resources in the mobile environment are released, for example in Android, sometimes the developer unwittingly causes the leakage of sensitive information, endangering the privacy of users. Starting from these considerations, in this paper we propose a method aimed to automatically localise the code where there is the possibility of information leak. In a nutshell, we discuss a method aimed to check whether a sensitive information is processed in a way that violates specific rules. We employ code instrumentation to annotate sensitive data exploiting model checking technique. To show the effectiveness of the proposed method a case study is presented.