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Machine Learning for Synthetically Generated, Adaptive Streaming Data. University of Würzburg, (марта 2019)Investigating the Predictability of QoS Metrics in Cellular Networks, , , , , , и . 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS), стр. 1--10. IEEE, (2022)Evaluating the Performance of a State-of-the-Art Group-oriented Encryption Scheme for Dynamic Groups in an IoT Scenario., , , , , и . MASCOTS, стр. 1-8. IEEE, (2020)Performance Impact Analysis of Securing MQTT Using TLS., , , , , и . ICPE, стр. 241-248. ACM, (2021)Benchmarking of Pre- and Post-Quantum Group Encryption Schemes with Focus on IoT, , , , , , и . IEEE 40th International Performance Computing and Communications Conference (IPCCC), (2021)Discrete-time analysis of the blockchain distributed ledger technology, , , , и . 2019 31st International Teletraffic Congress (ITC 31), стр. 130--137. IEEE, (2019)An IoT Network Emulator for Analyzing the Influence of Varying Network Quality., , , , , и . SimuTools (2), том 370 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 580-599. Springer, (2020)De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem., , , , , , , , , и . Int. J. Inf. Sec., 23 (2): 1149-1169 (апреля 2024)Towards a Cryptography Benchmark: A View on Attribute Based Encryption Schemes, , , , , , и . 2022 5th Conference on Cloud and Internet of Things (CIoT), IEEE, (2022)Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example., , , , , , , и . ISPEC, том 14341 из Lecture Notes in Computer Science, стр. 284-298. Springer, (2023)