Project Areas
E – Engineering

E5 – Privacy-Aware Distributed Computation (ended after CROSSING II)

The project addresses the challenge of automated generation of scalable privacy-preserving mechanisms in IoT, cloud, and edge computing systems. The project designs SecQL, a query language for data-intensive applications, whose runtime environment automatically generates and deploys sub-computations over nodes of the above systems to optimize performance while protecting the processed data from unauthorized access. The formally defined SecQL makes privacy-preserving mechanisms accessible also for non-security experts.

Principal Investigators

  Name Working area(s) Contact
Prof. Mira Mezini
Software Technology Group
E1, E5
+49 6151 16-21360
S2|02 A212
Prof. Guido Salvaneschi
Reactive Software Systems
E5
+49 6151 16-22360

Publications

Loading...
Loading data from TUbiblio…

Error on loading data

An error has occured when loading publications data from TUbiblio. Please try again later.

  • {{ year }}

    • ({{ publication.date.toString().substring(0,4) }}):
      {{ publication.title }}.
      In: {{ publication.series }}, {{ publication.volume }}, In: {{ publication.book_title }}, In: {{ publication.publication }}, {{ publication.journal_volume}} ({{ publication.number }}), ppp. {{ publication.pagerange }}, {{ publication.place_of_pub }}, {{ publication.publisher }}, {{ publication.institution }}, {{ publication.event_location }}, {{ publication.event_dates }}, ISSN {{ publication.issn }}, e-ISSN {{ publication.eissn }}, ISBN {{ publication.isbn }}, {{ labels[publication.type]?labels[publication.type]:publication.type }}
    • […]

Number of items in this list: {{ publicationsList.length }}
Only the {{publicationsList.length}} latest publications are displayed here.

View complete list at TUbiblio View this list at TUbiblio