MEGACHAIN: blockchain for integration, privacy and audit of megacity systems

• Grant number: 18/23062-5
• Support Opportunities: Regular Research Grants
• Start date: December 01, 2019
• End date: November 30, 2021
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: MCTI/MC
• Principal Investigator: Célio Vinicius Neves de Albuquerque
• Grantee: Célio Vinicius Neves de Albuquerque
• Host Institution: Instituto de Computação. Universidade Federal Fluminense (UFF). Ministério da Educação (Brasil). Niterói , SP, Brazil

Abstract

The world population is mostly urban and the exacerbated growth of the urban environment leads to the emergence of large population clusters, known as megacities, which concentrate millions of inhabitants. In Brazil, there are currently two megacities: São Paulo and Rio de Janeiro. Megacities are complex environments that present various structural, operational, and security challenges that are amplified due to the scale of the environment. The information and communication technologies meet the needs of the megacities, constituting a tool to facilitate the monitoring and management of the city, and to allow coordination and integration among the different systems, enabling the establishment of communication through application program interfaces, constituting a new paradigm called Business-to-Business integration.The MEGACHAIN project has the goal to investigate the applications and feasibility of using the blockchain technology for integration between megacity systems, taking into account issues such as scalability, privacy, availability and auditing. This research will be carried out through implementations, simulations and evaluations in realistic scenarios, with the aid of experimental testbeds, to allow the identification and diagnosis of deficiencies, and the proposition of alternative paths that may influence the future standardizations of megacity systems. Blockchain mechanisms will also be proposed and analyzed to control and manage the exchange of information between the various megacity systems. Given the importance of interoperability among the various systems present in megacities, it is believed that the project will contribute to guarantee a better quality of life for the population through the efficient management and monitoring of the urban environment. The project team is composed by researchers from the Institute of Computing and the School of Engineering of the Fluminense Federal University, and by a researcher from UFJF, as well as PhD, MSc and undergraduate students. (AU)

Scientific publications

(17)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

PISA, PEDRO SILVEIRA; COSTA, BERNARDO; GONCALVES, JESSICA ALCANTARA; VARELA DE MEDEIROS, DIANNE SCHERLY; MATTOS, DIOGO MENEZES FERRAZANI. A Private Strategy for Workload Forecasting on Large-Scale Wireless Networks. INFORMATION, v. 12, n. 12, DEC 2021. (18/23062-5)

DE OLIVEIRA, NICOLLAS R.; PISA, PEDRO S.; LOPEZ, MARTIN ANDREONI; DE MEDEIROS, DIANNE SCHERLY V.; MATTOS, DIOGO M. F.. Identifying Fake News on Social Networks Based on Natural Language Processing: Trends and Challenges. INFORMATION, v. 12, n. 1, JAN 2021. (18/23062-5)

LOPEZ, MARTIN ANDREONI; BARBOSA, GUILHERME N. N.; MATTOS, DIOGO M. F.; IEEE. New Barriers on 6G Networking: An Exploratory Study on the Security, Privacy and Opportunities for Aerial Networks. 2022 1ST INTERNATIONAL CONFERENCE ON 6G NETWORKING (6GNET), v. N/A, p. 6-pg., 2022-01-01. (18/23062-5)

SILVA, JOAO VITOR V.; DE OLIVEIRA, NICOLLAS R.; MEDEIROS, DIANNE S., V; LOPEZ, MARTIN ANDREONI; MATTOS, DIOGO M. F.. A statistical analysis of intrinsic bias of network security datasets for training machine learning mechanisms. ANNALS OF TELECOMMUNICATIONS, v. N/A, p. 17-pg., 2022-02-12. (18/23062-5)

PASSOS, DIEGO; DE SOUSA, CLEDSON O.; ALBUQUERQUE, CELIO. An NDT Model for Block Designs Operating Under Asymmetrical Duty Cycling. IEEE WIRELESS COMMUNICATIONS LETTERS, v. 9, n. 12, p. 2116-2120, DEC 2020. (18/23062-5)

BHERING, FABIANO; PASSOS, DIEGO; OCHI, LUIZ SATORU; OBRACZKA, KATIA; ALBUQUERQUE, CELIO. Wireless multipath video transmission: when IoT video applications meet networking-a survey. MULTIMEDIA SYSTEMS, v. 28, n. 3, p. 20-pg., 2022-01-19. (18/23062-5)

MATTOS, DIOGO MENEZES FERRAZANI; CARRARA, GABRIEL REIS; ALBUQUERQUE, CELIO; MOSSE, DANIEL. Exploring Overlay Topology Cost-Termination Tradeoff in Blockchain Vicinity-Based Consensus. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, v. 20, n. 2, p. 12-pg., 2023-06-01. (18/23062-5)

SILVEIRA, PEDRO; SILVA, EDELBERTO FRANCO; GALLETTA, ANTONINO; LOPES, YONA. Security analysis of digitized substations: A systematic review of GOOSE messages?. INTERNET OF THINGS, v. 22, p. 25-pg., 2023-07-01. (18/23062-5)

BEZERRA, GOVINDA M. G.; FERREIRA, TADEU; MATTOS, DIOGO M. F.; ZHANI, MF; LIMAM, N; BORYLO, P; BOUBENDIR, A; DOSSANTOS, CRP. A Precise Flow Representation for Autonomous IoT-Devices Reconnaissance. 25TH CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS (ICIN 2022), v. N/A, p. 8-pg., 2022-01-01. (18/23062-5)

DE OLIVEIRA, MARCELA T.; REIS, LUCIO H. A.; MEDEIROS, DIANNE S., V; CARRANO, RICARDO C.; OLABARRIAGA, SILVIA D.; MATTOS, DIOGO M. F.. Blockchain reputation-based consensus: A scalable and resilient mechanism for distributed mistrusting applications. Computer Networks, v. 179, p. 16-pg., 2020-10-09. (18/23062-5)

MAGALHAES, LUIZ C. S.. Association stability and handoff latency tradeoff in dense IEEE 802.11 networks: A case study. COMPUTER COMMUNICATIONS, v. 159, p. 175-185, JUN 1 2020. (18/23062-5)

SANTOS FILHO, REINER H.; FERREIRA, TADEU N.; MATTOS, DIOGO M. F.; MEDEIROS, DIANNE S., V. An Efficient and Decentralized Fuzzy Reinforcement Learning Bandwidth Controller for Multitenant Data Centers. Journal of Network and Systems Management, v. 30, n. 4, p. 24-pg., 2022-10-01. (18/23062-5)

CARRARA, GABRIEL REIS; FERRAZANI MATTOS, DIOGO MENEZES; NEVES DE ALBUQUERQUE, CELIO VINICIUS; IEEE. Vicinity-based Consensus: A Fast in-Neighborhood Convergence Consensus Mechanism for Blockchain. 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), v. N/A, p. 6-pg., 2021-01-01. (18/23062-5)

NICOLLAS R. DE OLIVEIRA; LUCAS P. BOAVENTURA; TADEU N. FERREIRA; VANESSA P. R. MAGRI; JACQUELINE S. PEREIRA; DIOGO M. F. MATTOS. A Low Cost, High-Reliability Receiver System for Reading Passive RFID Tags. J. Microw. Optoelectron. Electromagn. Appl., v. 20, n. 4, p. 812-822, 2021-11-15. (18/23062-5)

DE OLIVEIRA, NICOLLAS R.; MEDEIROS, DIANNE S. V.; MATTOS, DIOGO M. F.. A Sensitive Stylistic Approach to Identify Fake News on Social Networking. IEEE SIGNAL PROCESSING LETTERS, v. 27, p. 1250-1254, 2020. (18/23062-5)

BALBI, HELGA D.; PASSOS, DIEGO; VIEIRA, JUAN; CARRANO, RICARDO C.; MAGALHAES, LUIZ C. S.; ALBUQUERQUE, CELIO. Towards a fast and stable filter for RSSI-based handoff algorithms in dense indoor WLANs. COMPUTER COMMUNICATIONS, v. 183, p. 14-pg., 2022-02-01. (15/24358-7, 18/23062-5)

FRANK, LUCAS R.; DE OLIVEIRA, ROBERTO M.; VIEIRA, ALEX B.; SILVA, EDELBERTO FRANCO; IEEE. Improving a Smart Environment with Wireless Network User Load Prediction. 26TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2021), v. N/A, p. 6-pg., 2021-01-01. (18/23062-5)