M.A. de Vos, J.A. Pouwelse (2020), ConTrib: Universal and Decentralized Accounting in Shared-Resource Systems, In DICG'20: Proceedings of the 1st International Workshop on Distributed Infrastructure for Common Good p. 13–18, ACM DL.

Ankit Gangwal, Samuele Giuliano Piazzetta, Gianluca Lain, Mauro Conti (2020), Detecting Covert Cryptomining using HPC, S. Krenn, H. Shulman, S. Vaudenay (Eds.), In Cryptology and Network Security p.344–364, Springer.

Quinten Stokkink, Alexander Stannat, Johan Pouwelse (2020), Foundations of Peer-to-Peer Reputation, In DICG'20 p.25–30, Association for Computing Machinery (ACM).

Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak (2020), Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part i, In IEEE Transactions on Network and Service Management p.1971-1974.

Rajiv Ranjan, Ching-Hsien Hsu, Lydia Y. Chen, Dimitrios Georgakopoulos (2020), Holistic Technologies for Managing Internet of Things Services, In IEEE Transactions on Services Computing Volume 13 p.597-601.

Oğuzhan Ersoy, Stefanie Roos, Zekeriya Erkin (2020), How to profit from payments channels, Joseph Bonneau, Nadia Heninger (Eds.), In Proceedings of the 24th Financial Cryptography and Data Security, Kota Kinabalu, Sabah, Malaysia Volume 12059 p.284-303, Springer.

Alexandru Uta, Alexandru Custura, Dmitry Duplyakin, Ivo Jimenez, Jan S. Rellermeyer, Carlos Maltzahn, Robert Ricci, Alexandru Iosup (2020), Is Big Data Performance Reproducible in Modern Cloud Networks?, In Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2020 p.513-527.

Martijn de Vos, Georg Ishmaev, Johan Pouwelse (2020), MATCH: A Decentralized Middleware for Fair Matchmaking In Peer-to-Peer Markets, In Middleware '20 p.74-88, Association for Computing Machinery (ACM).

H. M. Verhelst, A. W. Stannat, G. Mecacci (2020), Machine Learning Against Terrorism: How Big Data Collection and Analysis Influences the Privacy-Security Dilemma, In Science and Engineering Ethics Volume 26 p.2975-2984.

Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni (2020), Pipetune: Pipeline parallelism of hyper and system parameters tuning for deep learning clusters, In Middleware 2020 p.89-104, Association for Computing Machinery (ACM).