With the deployment of 5G and the 6G vision being developed, the main challenges for SMARTNESS are how to design and operate cloud computing infrastructures and networks with adequate capabilities to leverage the next generation of Internet services and applications. The scope of end-to-end services at the Internet scale is exceptionally broad and requires contributions across multiple disciplines along with large investments in capital and human resources.
SMARTNESS aims to explore well-planned opportunities through an appropriate methodology based on the confluence of Research Strands (RS) designed to successfully impact world-class research and innovation through Scientific and Technological Advancements (STA) to address challenging use cases in Internet scenarios for industry and society with a vision on the horizon for the year 2030.
The activity was designed to introduce young participants to the world of scientific research through hands-on challenges. Rather than simply observing demonstrations, students took on the role of inventors and were invited to solve a fictional problem using real technologies developed and explored within SMARTNESS laboratories.
SMARTNESS expanded its international presence through two important scientific dissemination and academic collaboration activities carried out by researcher Tariqul Islam, a PhD student and member of the project.
The award-winning paper, entitled “Intrusion Detection in DNS Traffic Using Neural Networks and Explainability,” proposes an intrusion detection system for DNS traffic capable of identifying threats such as malware, phishing, and spam using neural networks.
Matheus Lucas, Gabriel Nery, Gustavo Spadotto, Cristiano Both, Bruno Silvestre, Kleber Cardoso, Andrew Williams, Sand L. Correa and Fábio L. Verdi., “Demonstrating the Advantages of Computational Offloading of XR Services via WebAssembly”, in IEEE/IFIP Network Operations and Management Symposium (NOMS), Demos, 2025.
Rodrigo Pierini. Advisor: Prof. Marco Aurelio Henriques Amaral, “Design, implementação e avaliação de atestação remota distribuída em plano de dados programável”, Dissertation presented to the School of Electrical and Computer Engineering (FEEC) of the Universidade Estadual de Campinas (UNICAMP) for the degree of Master in Electrical Engineering, in the area of Computer Engineering, 2025.
Arthur Simas. Advisor: Prof. Christian Esteve Rothenberg, “eZtunnel: An eBPF-based Traffic Acceleration Mechanism for Cloud-Native Infrastructures”, Dissertation presented to the School of Electrical and Computer Engineering (FEEC) of the Universidade Estadual de Campinas (UNICAMP) for the degree of Master in Electrical Engineering, in the area of Computer Engineering, 2025.
