Spoke 10:
Governance e protezione dei dati (UNIMI)

Coordinator:
Pierangela SAMARATI
Full Professor, UNIMI

La moderna società digitale si basa, e si baserà sempre di più, sulla raccolta, la condivisione e l’analisi di grandi collezioni di dati, con evidenti vantaggi, dal punto di vista personale e aziendale, nonché con benefici della ricerca e della società. La piena realizzazione di una società digitale basata sui dati può avvenire solo se c’è fiducia nella sicurezza e nella privacy dei dati stessi, e quindi se si rendono disponibili soluzioni che ne garantiscano corretta protezione e uso. Le leggi e i regolamenti sulla protezione dei dati impongono restrizioni che ne limitano l’uso e i singoli, così come le aziende, chiedono il rispetto dei requisiti di protezione e la garanzia di un’effettiva protezione dei loro dati. TA 10 risponde a questa esigenza puntando a garantire ai vari attori coinvolti nella condivisione dei dati e la disponibilità di strumenti e scenari per il controllo dei loro dati, per supportare la condivisione dei dati in modo selettivo e sicuro, garantendo allo stesso tempo funzionalità, efficienza e scalabilità. Le soluzioni per la protezione dei dati sviluppate nell’ambito dell’AT 10 consentiranno e incoraggeranno nuovi scenari applicativi e introdurranno nuove opportunità di condivisione dei dati, in modo controllato, nel rispetto della privacy e delle restrizioni di accesso, garantendo l’integrità dei dati e dei risultati delle analisi. L’AT 10 contribuirà quindi a una vera e piena realizzazione della sovranità digitale.

Project: Data Governance and Data Protection (DGDP)
PI: Pierangela SAMARATI, Full Professor, UNIMI

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  • Marco Anisetti, Claudio A. Ardagna, and Nicola Bena (2023). Continuous Certification of Non-Functional Properties Across System Changes. In: Proc. of the International Conference on Service Oriented Computing (ICSOC 2023). Rome, Italy: Springer Nature Switzerland.
  • Marco Anisetti, Claudio A. Ardagna, Nicola Bena, and Ernesto Damiani (2023). Rethinking Certification for Trustworthy Machine Learning-Based Applications. In: IEEE Internet Computing 27.06.
  • Marco Anisetti, Claudio A. Ardagna, Nicola Bena, Vincenzo Giandomenico, and Gabriele Gianini (2023). Lightweight Behavior-Based Malware Detection. In: Proceedings of the 15th International Conference on Management of Digital EcoSystems.
  • Claudio A. Ardagna and Nicola Bena (2023). Non-Functional Certification of Modern Distributed Systems: A Research Manifesto. In: 2023 IEEE International Conference on Software Services Engineering (SSE).
  • Marco Anisetti, Filippo Berto, and Ruslan Bondaruc (2023). QoS-aware Deployment of Service Compositions in 5G-empowered Edge-Cloud Continuum. In: Proceedings of the 16th International Conference on Cloud Computing (CLOUD).
  • Maurizio Atzori, Angelo Ciaramella, Claudia Diamantini, Beniamino Di Martino, Salvatore Distefano, Tullio Facchinetti, Fabrizio Montecchiani, Antonino Nocera, Giancarlo Ruffo, and Roberto Trasarti (2023). Dataspaces: concepts, architectures and initiatives. In: Proceedings of ITADATA.
  • Marco Arazzi, Marco Ferretti, Serena Nicolazzo, and Antonino Nocera (2023). The role of social media on the evolution of companies: A Twitter analysis of Streaming Service Providers. In: Online Social Networks and Media 36.
  • Davide Agostinello, Angelo Genovese, and Vincenzo Piuri (2023). Anomaly-based intrusion detection system for DDoS attack with Deep Learning techniques. In: Proc. of the 20th Int. Conf. on Security and Cryptography (SECRYPT).
  • Marco Arazzi, Daniel Murer, Serena Nicolazzo, and Antonino Nocera (2023). How Covid affects users’ interaction with Online Streaming Providers on Twitter. In: Online Social Networks and Media.
  • Marco Arazzi, Serena Nicolazzo, and Antonino Nocera (2023). A Fully Privacy Preserving Solution for Behavioral Fingerprinting in IoT using Federated Learning and Homomorphic Encryption. In: Information Systems Frontiers.
  • Marcello M. Bersani, Chiara Braghin, Angelo Gargantini, Raffaela Mirandola, Elvinia Riccobene, and Patrizia Scandurra (2023). Engineering of Trust Analysis-Driven Digital Twins for a Medical Device. In: Software Architecture. ECSA 2022 Tracks and Workshops – Revised Selected Papers. Ed. by Tha.s Batista, Tom.s Bures, Claudia Raibulet, and Henry Muccini. Vol. 13928. Lecture Notes in Computer Science.
  • Carlo Blundo and Stelvio Cimato (2023). Role mining under User-Distribution cardinality constraint. In: Journal of Information Security and Applications 78.
  • Ruslan Bondaric, Davide Cazzetta, and Marco Anisetti (2023). Advanced IoT Edge Architecture for Smart City. In: Proceedings of the 17th International Conference on Signal Image Technology & Internet based systems.
  • Bernardo Breve, Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia, and Giuseppe Polese (2023). Relaxed Functional Dependency Discovery in Incremental Scenarios. In: Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023. Ed. by Diego Calvanese, Claudia Diamantini, Guglielmo Faggioli, Nicola Ferro, Stefano Marchesin, Gianmaria Silvello, and Letizia Tanca. Vol. 3478. CEUR Workshop Proceedings.
  • Piero A. Bonatti, Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Luigi Sauro, and Domenico Fabio Savo (2023). Dynamic Controlled Query Evaluation over DL-Lite Ontologies (Extended addendum). In: Proceedings of the 2023 International Workshop on Description Logics (DL 2023).
  • Valerio Bellandi, Silvana Castano, Stefano Montanelli, and Davide Riva (2023). A Service Architecture for AI-based Legal Knowledge Extraction. In: Proceedings of 31st Symposium on Advanced Database System (SEBD 2023), Galzignano Terme, Padua, Italy.
  • Valerio Bellandi, Silvana Castano, Stefano Montanelli, Davide Riva, and Stefano Siccardi (2023). A Service Infrastructure for the Italian Digital Justice. In: Proceedings of the 15th International 36 Chapter 3. Spoke 10 Publications Conference on Management of Digital Ecosystems (MEDES 2023), Heraklion, Crete, Greece. Ed. by Springer. Communications in Computer and Information Science.
  • Anna Bernasconi, Valentina Ciriani, Asma Taheri Monfared, and Stefano Zanoni (2023). Compact Quantum Circuits for Dimension Reducible Functions. In: 26th Euromicro Conference on Digital System Design, DSD 2023. IEEE, 2023.
  • Enrico Bacis, Sabrina De Capitani di Vimercati, Sara Foresti, Stefano Paraboschi, Marco Rosa, and Pierangela Samarati (2023). Mix&Slice for Efficient Access Revocation on Outsourced Data. In: IEEE Transactions on Dependable and Secure Computing (TDSC).
  • Paolo Boldi, Davide D’Ascenzo, Flavio Furia, and Sebastiano Vigna (2023). Score and Rank Semi- Monotonicity for Closeness, Betweenness and Harmonic Centrality. In: Complex Networks & Their Applications XII – Proceedings of the Twelveth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2023, Menton Riviera, France. Vol. 1015.
  • Cheick T. Ba, Alessia Galdeman, Manuel Dileo, Matteo Zignani, and Sabrina Gaito (2023). User Migration Prediction in Blockchain Socioeconomic Networks Using Graph Neural Networks. In: Proceedings of the 2023 ACM Conference on Information Technology for Social Good. GoodIT ’23. Lisbon, Portugal: Association for Computing Machinery.
  • Paolo Boldi (2023). “The Emergence of Hypergraphs in Complex System Analysis (2023).” In: 2023 IEEE 9th International Conference on Collaboration and Internet Computing (CIC), Atlanta, GA, USA.
  • Himanshi Babbar, Shalli Rani, Aman Singh, and Gabriele Gianini (2023). Detecting Cyberattacks to Federated Learning on Software-Defined Networks. In: Proceedings of the 15th International Conference on Management of Digital EcoSystems (MEDES).
  • Cheick T. Ba, Matteo Zignani, and Sabrina Gaito (2023). Characterizing growth in decentralized socioeconomic networks through triadic closure-related network motifs. In: Online Social Networks and Media 37-38
  • Cheick T. Ba, Matteo Zignani, and Sabrina Gaito (2023). Cooperative behavior in blockchain-based complementary currency networks through time: The Sarafu case study. In: Future Generation Computer Systems 148.
  • Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia, Giuseppe Polese, and Roberto Stanzione (2023). REQUIRED: A Tool to Relax Queries through Relaxed Functional Dependencies. In: Proceedings 26th International Conference on Extending Database Technology, EDBT 2023, Ioannina, Greece, March 28-31, 2023. OpenProceedings.org.
  • Loredana Caruccio, Stefano Cirillo, Tullio Pizzuti, and Giuseppe Polese (2023). Discovering Functional Dependencies: Can we use ChatGPT to generate algorithms? In: Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA).
  • Loredana Caruccio, Domenico Desiato, Giuseppe Polese, Genoveffa Tortora, and Nicola Zannone (2023). An Approach to Trade-off Privacy and Classification Accuracy in Machine Learning Processes. In: Proceedings of the 31th Italian Symposium on Advanced Database Systems, SEBD 2023, Galzingano Terme, Italy, July 2nd to 5th, 2023. Vol. 3478. CEUR Workshop Proceedings. CEUR-WS.org.
  • Stefano Cirillo, Domenico Desiato, Michele Scalera, and Giandomenico Solimando (2023). A Visual Privacy Tool to Help Users in Preserving Social Network Data. In: Joint Proceedings of the Workshops, Work in Progress Demos and Doctoral Consortium at the IS-EUD 2023 co-located with the 9th International Symposium on End-User Development (IS-EUD 2023). CEUR Workshop Proceedings. CEUR-WS.org.
  • Silvana Castano, Alfio Ferrara, Stefano Montanelli, Sergio Picascia, and Davide Riva (2023). A Knowledgebased Service Architecture for Legal Document Building. In: Proceedings of The 2nd International Workshop on Knowledge Management and Process Mining for Law (KM4LAW 2023), Sherbrooke, Quebec, Canada.
  • Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Francesco Rundo, and Fabio Scotti (2023). Treebased optimization for image-to-image translation with imbalanced datasets on the edge. In: Proc. of the 2023 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
  • Pasquale Coscia, Angelo Genovese, Fabio Scotti, and Vincenzo Piuri (2023). Adversarial defect synthesis for industrial products in low data regime. In: Proc. of the 2023 IEEE Int. Conf. on Image Processing (ICIP 2023). Kuala Lumpur, Malaysia.
  • Pasquale Coscia, Angelo Genovese, Fabio Scotti, and Vincenzo Piuri (2023). Applications and limits of image-to-image translation models. In: Proc. of the 24th Int. Conf. on Digital Signal Processing (DSP 2023). Rhodes Island, Greece.
  • Giuseppe Cascavilla, Damian A Tamburri, Francesco Leotta, Massimo Mecella, and WillemJan Van Den Heuvel (2023). Counter-terrorism in cyber-physical spaces: Best practices and technologies from the state of the art. In: Information and Software Technology.
  • Sabrina De Capitani di Vimercati, Sara Foresti, Sushil Jajodia, Giovanni Livraga, Stefano Paraboschi, and Pierangela Samarati (2023). Distributed Query Execution under Access Restrictions. In: Computers & Security (COSE) 127.
  • Sabrina De Capitani di Vimercati, Sara Foresti, Sushil Jajodia, Stefano Paraboschi, Roberto Sassi, and Pierangela Samarati (2023). Sentinels and Twins: Effective Integrity Assessment for Distributed Computation. In: IEEE Transactions on Parallel and Distributed Systems (TPDS) 34.1.
  • Sabrina De Capitani di Vimercati, Sara Foresti, Giovanni Livraga, and Pierangela Samarati (2023). Supporting User Protection Requirements in Cloud-Based Data Outsourcing. In: SN Computer Science 4.4.
  • Sabrina De Capitani di Vimercati, Sara Foresti, and Pierangela Samarati (2023). Protecting Data and Queries in Cloud-Based Scenarios. In: SN Computer Science 4.5.
  • Ruggero Donida Labati, Vincenzo Piuri, Francesco Rundo, and Fabio Scotti (2023). Iris reflection segmentation from ocular images acquired in uncontrolled and uncooperative conditions. In: Proc. of the 2023 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications.
  • Ruggero Donida Labati, Vincenzo Piuri, Francesco Rundo, and Fabio Scotti (2023). MultiCardioNet: Interoperability between ECG and PPG biometrics. In: Pattern Recognition Letters 175.
  • Roopali Dogra, Shalli Rani, and Gabriele Gianini (2023). REERP: A Region-Based Energy-Efficient Routing Protocol for IoT Wireless Sensor Networks. In: Energies 16.17
  • Manuel Dileo, Matteo Zignani, and Sabrina Gaito (2023). DURENDAL: Graph deep learning frame43 work for temporal heterogeneous networks. In: Temporal Graph LearningWorkshop@NeurIPS.
  • Alfio Ferrara, Sergio Picascia, and Davide Riva (2023). Few-Shot Legal Text Segmentation via Rewiring Conditional Random Fields: A Preliminary Study. In: JUSMOD 2023 – Proceedings of the 42nd International Conference on Conceptual Modeling (ER 2023), vol. 14319 LNCS.
  • Gabriele Gianini, Annalisa Barsotti, Corrado Mio, and Jianyi Lin (2023). Heterogeneous Transfer Learning from a Partial Information Decomposition perspective. In: Proceedings of the 15th International Conference on Management of Digital EcoSystems (MEDES).
  • Angelo Genovese, Vincenzo Piuri, Konstantinos N. Plataniotis, and Fabio Scotti (2023). DL4ALL: Multi-task cross-dataset transfer learning for Acute Lymphoblastic Leukemia detection. In: IEEE Access 11.
  • Angelo Genovese, Vincenzo Piuri, and Fabio Scotti (2023). ALL-IDB Patches: Whole slide imaging for Acute Lymphoblastic Leukemia detection using Deep Learning. In: Proc. of the IEEE Int. Conf. on Acoustics Speech and Signal Processing Workshops (ICASSPW 2023). Rhodes Island, Greece.
  • Alessia Galdeman, Matteo Zignani, and Sabrina Gaito (2023). User migration across Web3 online social networks: behaviors and influence of hubs. In: ICC 2023 – IEEE International Conference on Communications.
  • Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, and Sebastiano Vigna (2023). Dataset Announcement: MS-BioGraphs, Trillion-Scale Public Real-World Sequence Similarity Graphs. In: IEEE International Symposium on Workload Characterization, IISWC 2023, Ghent, Belgium, IEEE.
  • Stefano Locci, Luigi Di Caro, Giovanni Livraga, and Marco Viviani (2023). Explainability of the Effects of Non-perturbative Data Protection in Supervised Classification. In: Proc. of the 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WIIAT 2023). Venice, Italy.
  • Giovanni Livraga, Artjoms Olzojevs, and Marco Viviani (2023). Unveiling the Privacy Risk: A Tradeoff between User Behavior and Information Propagation in Social Media. In: Proc. of the 12th International Conference on Complex Networks and their Applications. Menton, France.
  • Asma Taheri Monfared, Valentina Ciriani, Tommi Mikkonen, and Majid Haghparast (2023). Quaternary Reversible Circuit Optimization for Scalable Multiplexer and Demultiplexer. In: IEEE Access 11.
  • Pierluigi Plebani, Davide Rossetto, and Francesco Tiezzi (2023). Empowering trusted data sharing for data analytics in a federated environment: A blockchain-based approach. In: Frontiers in Blockchain 6.
  • Christian Quadri, Alberto Ceselli, and Gian Paolo Rossi (2023). Multi-user edge service orchestration based on Deep Reinforcement Learning. In: Computer Communications.
  • Anshika Sharma, Himanshi Babbar, Shalli Rani, Dipak Kumar Sah, Sountharrajan Sehar, and Gabriele Gianini (2023). MHSEER: A Meta-Heuristic Secure and Energy-Efficient Routing Protocol for Wireless Sensor Network-Based Industrial IoT. In: Energies 16.10.
  • Shruti, Shalli Rani, Dipak Kumar Sah, and Gabriele Gianini (2023). Attribute-Based Encryption Schemes for Next GenerationWireless IoT Networks: A Comprehensive Survey. In: Sensors 23.13 .

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