Use Cases

Three complementary real-world use cases demonstrate the applicability of FogProtect solutions to multiple contexts and the impact of the project’s novel solutions for data protection: smart cities, smart manufacturing and smart media.  FogProtect provides the essential building blocks to empower data protection, supporting resilience, trustworthiness and human centricity in the Next Generation Internet.

The use cases provide the opportunity to test the functional coverage of the technical contributions and also an initial indication of their marketability. In extending the scope of sensitive data to include all data which may be significant to the end-user and to the reputation of a given service provider, the use case validation activities contribute to the trustworthiness of the FogProtect technology and contribute to its adoption potential. 

The use cases include concerns of all citizens who wish to feel secure in their civic lives whilst confident that their own privacy is respected (UC1); unobtrusive monitoring of employees by employers not least to satisfy the latters’  responsibilities for the safety of their employees (UC2); and enabling citizen engagement as prosumers (UC3). 

Processing of video data captured by cameras in a city using fog nodes and the cloud to detect (crime)  incidents. Depending on their respective role, Data Processors are provided with either raw video data or an anonymised version of these videos.

Evaluation and processing of user-generated videos in order to integrate them into television shows.

Moving the production process from a factory building to a container which could for example be placed on a ship to continue the production process while the material is being transported.


WP1: Global Management and Coordination

WP2: Requirements, Use Cases and Validation 

WP3: End-to-End Data Protection Framework and Methodology

WP4: Secure Data Container

WP5: Service Management & Adaptation

WP6: Data Protection Policy Management

WP7: Dynamic Risk Management

WP8:  Impact (Dissemination, Communication, Exploitation)


UMLsec4Edge: Extending UMLsec to model data-protection-compliant edge computing systems

48th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA)
Sven Smolka, Jan Laufer, Zoltán Ádám Mann, Klaus Pohl

Automatic online quantification and prioritization of data protection risks

17th International Conference on Availability, Reliability and Security (ARES 2022)
Sascha Zmiewski, Jan Laufer, Zoltan Ádám Mann

Protecting sensitive data in the cloud-to-edge continuum: The FogProtect approach

22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
Dhouha Ayed, Paul-Andrei Dragan, Edith Félix, Zoltán Ádám Mann, Eliot Salant, Robert Seidl, Anestis Sidiropoulos, Steve Taylor, Ricardo Vitorino

A Data Protection Focused Adaptation Engine for Distributed Video Analytics Pipelines

IEEE Access
Clemens Lachner, Jan Laufer, Schahram Dustdar, Klaus Pohl

Decentralized application placement in fog computing

IEEE Transactions on Parallel and Distributed Systems
Zoltán Ádám Mann

Cost-optimized, data-protection-aware offloading between an edge data center and the cloud

IEEE Transactions on Services Computing
Zoltán Ádám Mann, Andreas Metzger, Johannes Prade, Robert Seidl, Klaus Pohl

Modelling Data Protection in Fog Computing Systems using UMLsec and SysML-Sec

2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
Jan Laufer, Zoltan Ádám Mann, Andreas Metzger

Realizing Self-Adaptive Systems via Online Reinforcement Learning and Feature-Model-guided Exploration

Andreas Metzger, Clément Quinton, Zoltán Ádám Mann, Luciano Baresi, Klaus Pohl

Evaluation of fog application placement algorithms: A survey

Sven Smolka, Zoltán Ádám Mann

Security- and privacy-aware IoT application placement and user assignment

Computer Security
Zoltán Ádám Mann

DECENT: A Decentralized Configurator for Controlling Elasticity in Dynamic Edge Networks

ACM Transactions on Internet Technology
Ilir Murturi, Schahram Dustdar

Specification and Operation of Privacy Models for Data Streams on the Edge

The 6th IEEE International Conference on Fog and Edge Computing 2022
Boris Sedlak, Ilir Murturi, Schahram Dustdar

Implementing secure, policy-driven data access in a cloud

15th ACM International System and Storage Conference
Eliot Salant, Klaas Baert

Fog Robotics – Understanding Research Challenges

IEEE Internet Computing
Victor Casamayor Pujol, Schahram Dustdar

Utilizing AI Planning on the Edge

IEEE Internet Computing
I. Murturi, A. Egyed, S. Dustdar

On Provisioning Procedural Geometry Workloads on Edge Architectures

In 17th International Conference on Web Information Systems and Technologies (WEBIST)
I. Murturi, C. Jia, B. Kerbl, M. Wimmer, S. Dustdar, C. Tsigkanos

Towards Distributed Edge-based Systems

In 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI)
S.Dustdar, I. Murturi

A Decentralized Approach for Resource Discovery using Metadata Replication in Edge Networks

IEEE Transactions on Services Computing
I. Murturi, S. Dustdar

Towards understanding the adaptation space of AI-assisted data protection for video analytics at the edge

In 2021 IEEE, the 2nd International Workshop on Efficient Artificial Intelligence For Edge Computing (EAI)
C. Lachner, Z. Ádám Mann, S. Dustdar

Secure software placement and configuration

Future Generation Computer Systems, Elsevier, vol. 110, pp. 243-253, 2020
Z. Á. Mann.

Comparison of simulators for fog computing

Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC’20) pp. 1792-1795, 2020
Paper – Conference
C. Kunde, Z. Á. Mann.

Notions of architecture in fog computing

Computing, Springer, accepted, 2020
Z. Á. Mann.

FogProtect: Protecting Sensitive Data in the Computing Continuum

EU Projects track of the 8th European Conference on Service-Oriented and Cloud Computing (ESOCC 2020)
Paper – Conference
Dhouha Ayed, Eva Jaho, Clemens Lachner, Zoltan Mann, Robert Seidl, Mike Surridge

Feature-Model-Guided Online Reinforcement Learning for Self-Adaptive Services

18th International Conference on Service Oriented Computing (ICSOC 2020), Lecture Notes in Computer Science (LNCS, volume 12571), Springer, pp. 269-286, 2020
Paper – Conference
Metzger, Andreas; Quinton, Clément; Mann, Zoltan Adam; Baresi, Luciano; Pohl, Klaus

A Privacy Preserving System for AI-assisted Video Analytics

5th IEEE International Conference on Fog and Edge Computing 2021
Paper – Conference
Clemens Lachner;  Thomas Rausch; Schahram Dustdar

Advances in Service-Oriented and Cloud Computing – FogProtect: Protecting Sensitive Data in the Computing Continuum

Book – Conference
Clemens Lachner

End-to-end data protection through the computing continuum in Smart Environments 

2021 Joint EuCNC & 6G Summit
Klaas Baert, Joao Garcia , Jens Kuhr, Robert Seidl, Ricardo Vitorino

Available soon

RADAR: Data Protection in Cloud-Based Computer Systems at Run Time

IEEE Access, vol. 9, pp. 70816-70842, 2021
Zoltán Ádám Mann, Florian Kunz, Jan Laufer, Julian Bellendorf, Andreas Metzger, Klaus Pohl

DECA: A Dynamic Energy Cost and Carbon Emission-Efficient Application Placement Method for Edge Clouds

IEEE Access, vol. 9, pp. 70192-70213, 2021
Ehsan Ahvar, Shohreh Ahvar, Zoltán Ádám Mann, Noel Crespi, Roch Glitho, Joaquin Garcia-Alfaro

Simulation-based analysis of threats to location privacy in fog computing

5th International Workshop on Security, Privacy and Trust in the Internet of Things (SPT-IoT), accepted, 2021
Paper – Conference
Theresa Wettig, Zoltán Ádám Mann

Speeding up Industrial AI and Trustworthiness

Franco-German Position Paper
Zoltán Ádám Mann, Andreas Metzger

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