PUBLICATIONS

2023

• M. Pincheira, M. Vecchio, R. Giaffreda, (2023) "Exploiting Cost-Effective IoT Devices for Trustless Agri-Food Supply Chain Management: A Practical Case Study". In: A. Bouras, I. Khalil, B. Aouni (eds) Blockchain Driven Supply Chains and Enterprise Information Systems. Springer, Cham. [DOI]  

• M. Pincheira, M. Vecchio, F. Antonelli. (2023) "SmartTwin: A Blockchain-Based Software Framework for Digital Twins Using IoT". In: J. Prieto, F.L. Benítez Martínez, S. Ferretti, D. Arroyo Guardeño, P. Tomás Nevado-Batalla (eds) Blockchain and Applications, 4th International Congress . BLOCKCHAIN 2022. Lecture Notes in Networks and Systems, vol 595. Springer, Cham. [DOI]   

• M. Antonini, M. Pincheira, M. Vecchio, F. Antonelli. "An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments". In Sensors(MDPI). 2023; 23(4):2344. [DOI]

• M. Pincheira, E. Donini, M. Vecchio, R. Giaffreda (2023). "Towards an Infrastructure Cost Model for Blockchain-Based Applications." In: J. Prieto, F.L. Benítez Martínez, S. Ferretti, D. Arroyo Guardeño, P. Tomás Nevado-Batalla (eds) Blockchain and Applications, 4th International Congress . BLOCKCHAIN 2022. Lecture Notes in Networks and Systems, vol 595. Springer, Cham. [DOI] 

2022

• M. Pincheira, M. Antonini,  M. Vecchio, "Integrating the IoT and Blockchain Technology for the Next Generation of Mining Inspection Systems". In Sensors(MDPI), 22(3):899 (2022). [DOI]

• M. Pincheira, M. Vecchio, R. Giaffreda, "Characterization and Costs of Integrating Blockchain and IoT for Agri-Food Traceability Systems". In Systems(MDPI), 10(3):57 (2022). [DOI]

• A. Giannopoulos, S. Spantideas, N. Kapsalis, P. Gkonis, L. Sarakis, C. Capsalis, M. Vecchio, P. Trakadas, "Supporting Intelligence in Disaggregated Open Radio Access Networks: Architectural Principles, AI/ML Workflow, and Use Cases," in IEEE Access, vol. 10, pp. 39580-39595, (2022).[DOI]

• M. Pincheira, E. Donini, M. Vecchio, S. Kanhere, "A Decentralized Architecture for Trusted Dataset Sharing Using Smart Contracts and Distributed Storage". In Sensors(MDPI), 22(23):9118 (2022). [DOI] 

• M. Antonini, M. Pincheira, M. Vecchio and F. Antonelli, "A TinyML approach to non-repudiable anomaly detection in extreme industrial environments," 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), Trento, Italy, 2022, pp. 397-402, [DOI]  

• M. Antonini, M. Pincheira, M. Vecchio and F. Antonelli, "Tiny-MLOps: a framework for orchestrating ML applications at the far edge of IoT systems," 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Larnaca, Cyprus, 2022, pp. 1-8, [DOI] 

• R. Giaffreda, "Cosa sono e a cosa servono i «big data» in agriculture ". In: L'Informatore Agrario n. 35, pag. 50 del 28/10/2021 

• R.Giaffreda, "L’innovazione a supporto dell’incentivazione alla sostenibilità in agriculture ". In: Agricoltura Trentina 04/2021 

2021

• M. Vecchio, "Guest Editorial: IoT and the Environment". In: IEEE Internet of Things Magazine, 4.1:10-11 (2021). [DOI]

• M. Vecchio, P. Azzoni, A. Menychtas, I. Maglogiannis, A. Felfernig,  "A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson". In: Sensors, 21.4:1309 (2021). [DOI]

• C. Callegari, P. Ducange, M. Fazzolari, M. Vecchio, "Explainable Internet Traffic Classification". In: Applied Sciences. 11.10:4697 (2021). [DOI] 

• P. B. Leelavinodhan, M. Vecchio, F. Antonelli, A. Maestrini, and D. Brunelli, “Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection,” Sensors, vol. 21, no. 11 (2021), p. 3831. [DOI]

• S. Crave, B. Diop, C. Dupont, I. Mutesi, W. Sokeng, A. Rahim. Editors: F. Botto, C. Dupont, A. Rahim (2021). WaziHub: Unlocking loT Startups in Africa. Trento, Italy: FBKpress [DOI]

• P. Banini, S. Crave, B. Diop, C. Dupont, M. Eskandari, I.  Mutesi, C. Pham, A. Rahim, S. Wilma. Editors: F. Botto, C. Dupont, A. Rahim (2021). WaziHub: Empowering Open Source and Affordable IoT Technologies in Africa (p. 44). Trento, Italy: FBKpress. [DOI]

• M. S. Ali, M. Vecchio, F. Antonelli. "A Blockchain-Based Framework for IoT Data Monetization Services". In: The Computer Journal, Volume 64, Issue 2, (2021), pp. 195–210. [DOI]

• M. Pincheira, M. Vecchio, R. Giaffreda, and S. S. Kanhere. “Cost-effective IoT devices as trustworthy data sources for a blockchain-based water management system in precision agriculture”. In: Computers and Electronics in Agriculture 180 (2021), p. 105889. [DOI]

• M. Pincheira, M. Vecchio, R. Giaffreda, "Benchmarking Constrained IoT Devices in Blockchain-Based Agri-Food Traceability Applications". In: J. Prieto, A. Partida, P. Leitão, A. Pinto (eds) Blockchain and Applications. BLOCKCHAIN 2021. Lecture Notes in Networks and Systems, vol 320. Springer, Cham.  [DOI]  

2020

• M. S. Ali, M. Vecchio, and F. Antonelli. “A Blockchain-Based Framework for IoT Data Monetization Services”. In: The Computer Journal (2020), (in press). [DOI] 

• M. S. Ali, M. Vecchio, G. D. Putra, S. S. Kanhere, and F. Antonelli. “A Decentralized Peer-to-Peer Remote Health Monitoring System”. In: Sensors 20.6 (2020), p. 1656. [DOI] 

• M. Antonini, A. Gaiardo, and M. Vecchio. “MetaNChemo: A meta-heuristic neural-based framework for chemometric analysis”. In: Applied Soft Computing 97 (2020), p. 106712. [DOI] 

• M. Eskandari, Z. H. Janjua, M. Vecchio, and F. Antonelli. “Passban IDS: An Intelligent Anomaly Based Intrusion Detection System for IoT Edge Devices”. In: IEEE Internet of Things Journal 7.8 (2020), pp. 6882–6897. [DOI] 

• R. Giaffreda and M. Antonini. "IoT Technologies and Privacy in a Data-Bloated Society: Where Do We Stand in the Fight to Prepare for the Next Pandemic?." IEEE Internet of Things Magazine 3, no. 4 (2020): 2-3. [DOI] 

• P. B. Leelavinodhan, F. Antonelli, M. Vecchio, and A. Maestrini. “Energy-neutral weather stations for precision agriculture: challenges and approaches”. In: IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor 2020). 2020, pp. 24–28. [DOI]

• M. Pincheira Caro, E. Donini, R. Giaffreda, and M. Vecchio. “A Blockchain-Based Approach to Enable Remote Sensing Trusted Data”. In: IEEE Latin American GRSS ISPRS Remote Sensing Conference (LAGIRS 2020). 2020, pp. 652–657. [DOI] 

• M. Pincheira Caro and M. Vecchio. “Towards Trusted Data on Decentralized IoT Applications: Integrating Blockchain in Constrained Devices”. In: IEEE International Conference on Communications Workshops (ICC Workshops). 2020, pp. 1–6. [DOI] 

• M. Pincheira Caro, M. Vecchio, and R. Giaffreda. “Rationale and Practical Assessment of a Fully Distributed Blockchain-based Marketplace of Fog/Edge Computing Resources”. In: 7th International Conference on Software Defined Systems (SDS 2020). 2020, pp. 165–170. [DOI] 

• M. Pincheira Caro, M. Vecchio, R. Giaffreda, and S. Kanhere. “Exploiting constrained IoT devices in a trustless blockchain-based water management system”. In: IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2020). 2020, (accepted). [DOI] 

• M. Savi, D. Santoro, K. Di Meo, D. Pizzolli, M. Pincheira, R. Giaffreda and D. Siracusa.  "A blockchain-based brokerage platform for fog computing resource federation". In 2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) (pp. 147-149). IEEE. [DOI] 

2019

• M. S. Ali, M. Vecchio, M. Pincheira, K. Dolui, F. Antonelli, and M. H. Rehmani. “Applications of Blockchains in the Internet of Things: A Comprehensive Survey”. In: IEEE Communications Surveys & Tutorials 21.2 (2019), pp. 1676–1717. [DOI] 

• M. Antonini, M. Vecchio, and F. Antonelli. “Fog Computing Architectures: a Reference for Practitioners”. In: IEEE Internet of Things Magazine 2.3 (2019), pp. 19–25. [DOI]

• M. Antonini, T. Huy Vu, C. Min, A. Montanari, A. Mathur, and F. Kawsar. "Resource Characterisation of Personal-Scale Sensing Models on Edge Accelerators." In Proceedings of the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, pp. 49-55. 2019. [DOI]

• L. Davoli, M. Antonini, and G. Ferrari. "DIRPL: A RPL-based resource and service discovery algorithm for 6LoWPANS." Applied Sciences 9, no. 1 (2019): 33. [DOI] 

• P. Ducange, M. Fazzolari, M. Petrocchi, and M. Vecchio. “An effective Decision Support System for social media listening based on cross-source sentiment analysis models”. In: Engineering Applications of Artificial Intelligence 78 (2019), pp. 71–85. [DOI] 

• A. Hussein, M. Barhamgi, M. Vecchio, and C. Perera. “Crowdsourced Peer Learning Activity for Internet of Things Education: A Case Study”. In: IEEE Internet of Things Magazine 2.3 (2019), pp. 26–31. [DOI] 

• Z. H. Janjua, M. Vecchio, M. Antonini, and F. Antonelli. “IRESE: An intelligent rare-event detection system using unsupervised learning on the IoT edge”. In: Engineering Applications of Artificial Intelligence 84 (2019), pp. 41–50. [DOI] 

• G. Perrone, M. Vecchio, J. Del Ser, F. Antonelli, and V. Kapoor. “The Internet of Things: a Survey and Outlook”. In: Sensors in the Age of the Internet of Things: Technologies and Applications. Ed. by O. A. Postolache, E. Sazonov, and S. C. Mukhopadhyay. IET Digital Library, 2019. Chap. 1. isbn: 978-1-78561634-1. [DOI] 

• M. Pavlovic, F. Botto , M. Pillan, C. Criminisi and M. Valla. "Social Consensus: Contribution to Design  Methods for AI Agents That Employ Personal Data". In W. Karwowski and T. Ahram (Eds.) Intelligent Human Systems Integration 2019. Proceedings of the 2nd International IHSI 2019 Conference: Integrating People and Intelligent Systems, February 7-10, 2019, San Diego, California, USA. Springer Nature Switzerland. Pp. 877–883. [DOI] 

2018

• M. S. Ali, M. Vecchio, and F. Antonelli. “Enabling a Blockchain-Based IoT Edge”. In: IEEE Internet of Things Magazine 1.2 (2018), pp. 24–29. [DOI] 

• M. Antonini, M. Vecchio, F. Antonelli, P. Ducange, and C. Perera. “Smart Audio Sensors in the Internet of Things Edge for Anomaly Detection”. In: IEEE Access (2018), pp. 67594–67610. [DOI] 

• C. Bassetti, F. Botto, A. Fumagalli, C. Morini, M. Sachy, L. Vergolini and F. Zandonai. Ed.s: Botto F. and Zappini F. (2018). "#CommonFareTrentino: l'inizio del dibattito. Atti della Tavola Rotonda del 21 aprile 2017". Commonfare Book Series nr. 2, Università degli Studi di Trento. ISBN: 978-88-8443-813-3; ISSN: 2611-0482. [DOI] 

• C. Bassetti, F. Botto and M. Teli. “The Commonfare Project. Designing to Support Grassroots Welfare Initiatives”. In DigitCult – Scientific Journal on Digital Cultures, [S.l.], v. 3, n. 1, p. 13-22, June 2018. ISSN 2531-5994. [DOI] 

• M. Calabretta, R. Pecori, M. Vecchio, and L. Veltri. “MQTT-Auth: a Token-based Solution to Endow MQTT with Authentication and Authorization Capabilities”. In: Journal of Communications Software and Systems 14.4 (2018), pp. 320–331. [DOI] 

• J. Del Ser, E. Osaba Icedo, M.N. Bilbao Maron, J.J. Sanchez-Medina, M. Vecchio, and X.-S. Yang. Intelligent Distributed Computing XII. Springer International Publishing, 2018. isbn: 978-3-319-99626-4. [DOI] 

• C. Dupont, M. Vecchio, C. Pham, B. Diop, C. Dupont, and S. Koffi. “An open IoT platform to promote eco-sustainable innovation in Western Africa: real urban and rural testbeds”. In: Wireless Communications and Mobile Computing 2018 (2018). [DOI] 

• C. Perera, M. Barhamgi, S. De, T. Baarslag, M. Vecchio, and K. K. R. Choo. “Designing the Sensing as a Service Ecosystem for the Internet of Things”. In: IEEE Internet of Things Magazine 1.2 (2018), pp. 18–23. [DOI] 

• M. Pincheira Caro, M. S. Ali, M. Vecchio, and R. Giaffreda. “Blockchain-based traceability in Agri-Food supply chain management: A practical implementation”. In: IEEE IoT Vertical and Topical Summit on Agriculture (IOT Tuscany 2018). 2018, pp. 1–4. [DOI] 

• M. Vecchio, G. Amendola, and P. Ducange. “An Integrated Topology Control Framework to Accelerate Consensus in Broadcast Wireless Sensor Networks”. In: IEEE Transactions on Wireless Communications 17.11 (2018), pp. 7472–7485. [DOI] 

2017

• P. Ducange, G. Mannara, F. Marcelloni, R. Pecori, and M. Vecchio. “A Novel Approach for Internet Traffic Classification based on Multi-Objective Evolutionary Fuzzy Classifiers”. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017). 2017, pp. 1–6. [DOI] 

• G. Perrone, M. Vecchio, R. Pecori, and R. Giaffreda. “The Day After Mirai: A Survey on MQTT Security Solutions After the Largest Cyber-attack Carried Out through an Army of IoT Devices”. In: International Conference on Internet of Things, Big Data and Security (IoTBDS 2017). 2017, pp. 246–253. [DOI]