Publications

Grunert, K. (2020). Overview of JavaScript Engines for Resource-Constrained Microcontrollers [18]. 5th International Conference on Smart and Sustainable Technologies 2020(SpliTech 2020), 1-7.

Fischer, S. and Katsarou, K. and Holschke, O. (2020). DEEPFLOW: Toawards Network-Wide Ingress Traffic Prediction Using Machine Learning At Large Scale [20]. 7th International Symposium on Networks, Computers and Communications(ISNCC 2020). IEEE.

Victor, F. (2020). Address Clustering Heuristics for Ethereum [22]. Financial Cryptography and Data Security. Springer International Publishing, 617–633.

Müller, M. and Ostern, N. and Rosemann, M. (2020). Silver Bullet for all Trust Issues? Blockchain-based Trust Patterns for Collaborative Business Processes [24]. 18th Int. Conference on Business Process Management (BPM 2020)

Müller, M. and S. Rodriguez Garzon. S. and M. Rosemann, M. and Küpper, A. (2020). Towards Trust-aware Collaborative Business Processes: An Approach to Identify Uncertainty [25]. IEEE Internet Computing, 1-1.

Beierle, F. and Egger, S. (2020). MobRec – Mobile Platform for Decentralized Recommender Systems [27]. IEEE Access. IEEE, 185311 - 185329.

Dinh Tuan, H. and Mora Martinez, M. and Beierle, F. and Rodriguez Garzon, S. (2020). Development Frameworks for Microservice-based Applications: Evaluation and Comparison (accepted for publication [29]. 2020 European Symposium on Software Engineering (ESSE)

Rodriguez Garzon, S. and Louis, B. (2020). Context Flow Graphs: Situation Modeling for Rule-based Proactive Context-aware Systems [31]. IEEE Access, 1-22.

Hagemann, T. and Katsarou, K. (2020). A Systematic Review on Anomaly Detection for Cloud Computing Environments [32]. 3rd Artificial Intelligence and Cloud Computing Conference (AICCC 2020). ACM, 83-96.

Pallas, F. and . Raschke, P. and Bermbach, D. (2020). Fog Computing as Privacy Enabler [34]. IEEE Internet Computing, 15-21.

Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Zimmermann, J. and Pryss, R. (2020). What data are smartphone users willing to share with researchers? Designing and evaluating a privacy model for mobile data collection apps [35]. Journal of Ambient Intelligence and Humanized Computing. Springer, 2277–2289.

Beierle, F. and Aizawa, A. and Collins, A. and Beel, J. (2020). Choice Overload and Recommendation Effectiveness in Related-Article Recommendations. Analyzing the Sowiport Digital Library [37]. International Journal on Digital Libraries. Springer, 231–246.

Victor, F. and Hagemann, T. (2019). Cryptocurrency Pump and Dump Schemes: Quantification and Detection [39]. 2019 IEEE International Conference on Data Mining Workshops (ICDMW), 244–251.

Rodriguez Garzon, S. and Küpper, A. (2019). Pay-Per-Pollution: Towards an Air Pollution-Aware Toll System for Smart Cities [40]. 2019 IEEE International Conference on Smart Internet of Things (SmartIoT). IEEE, 361-366.

Kröger, J. L. and Raschke, P. and Bhuiyan, T. R. (2019). Privacy Implications of Accelerometer Data: A Review of Possible Inferences [41]. Proceedings of the 3rd International Conference on Cryptography, Security and Privacy. ACM, 81–87.