2017 – present date
HealthSense: Assessing and Protecting Privacy in Wireless Wearable Sensor-generated Medical Data
Project certified by the coordinator Aldriz Luiz dos Santos in 10/09/2017
Description: Market estimations expect more than 3 billions of sensors in use in 2025, in which more than 30 % of them being a new kind of sensor. As long as both user’s dependency and popularity of these devices grow, there will be an increase of intrusions and privacy breakage as well. This project proposes to design new methodologies to ensure privacy protection, guaranteeing that vital physiological data from users be transmitted confidentially from wearable sensors to a centralized repository on the cloud. Joint Call RNP-NSF for Research Project and Development in Cyber-Security.
Status: In Progress
Students involved: Undergratute: 1 / Master: 1 / Doctorate: 1
Coordinator: ROSARIO, DENIS
Member: NOGUEIRA, MICHELE
Financer: The Brazilian National Research and Educational Network – Financial support.
2017 – present date
5GVeMuCloud: A Framework for disseminating video flows in 5G Networks.
Description: The 5GVemuCloud project will move forward the state-of-the art about the creation and validation of a framework for disseminating video flows in 5G networks in the context of vehicular networks (VANETs), when focusing on the both content and resource discovery in order to create and maintain mobile clouds. Besides that, it aims to design algorithms and routing protocols for 5G networks (heterogeneous and with cloud resources) that find the best route and the best resources for spreading videos with high QoE in cloud environments for 5G VANETs. It also aims to implement, evaluate and validate proposal in simulation environment, emulation, and/or testbed.
Status: In Progress; Type: Research
2017 – 2019 – NECOS Project
Description: It is a cloud-computing project aiming to address effectively the challenges in on-demand networks, based in slices of the available resources. This way, it also seeks to optimize the use of those resources and create new mechanisms for managing and automating all the actions performed in the environment.
In Brazil, the universities taking part of the project are: State University of Campinas (UNICAMP), Federal University of São Carlos (UFSCAR), Federal University of Uberlândia (UFU), Federal University of Goiás (UFG), Federal University of Pará (UFPA) and Federal University of Rio Grande do Norte (UFRN), as well as CpqD. In Europe, the ones joining the project are: Universitat Politècnica de Catalunya (UPC), TID in Spain, University College London (UCL) in Great Britain and University of Macedonia (UOM), in Greece.
Undergraduated: Lucas Borges, Flávio Travassos
Doctorate: Fernando Farias
Post-Doctorate: Billy Pinheiro
Coordinator: Antônio Abelém
Supervisor: Billy Pinheiro
2017 – Present Date ( INSaNE – Improving Network Security at the Network Edge)
Description: This project seeks to identify and classify the behavior of home networks, specifically at the network edge. In addition to this, it aims to detect malicious devices within home networks so that private data of users cannot be leaked. By using machine learning techniques, time series analysis, it is possible to model network behavior in a way that those devices cannot compromised both network performance and the security of the information flowing in the network.
In Brazil, the universities involved are: Federal University of Rio de Janeiro (UFRJ), Federal University of Pará (UFPA) and Federal University of Minas Gerais (UFMG). In the States, the one engaged is the University of Massachusetts (UMASS).
Undergraduated: Adiel Nascimento and Diego Abreu
Master: Paulo Sena
Doctorate: Airton Ishimori
Coordinator: Antônio Abelém
Supervisor: Igor Carvalho
2015 – Present Date - Software Defined Naval Battlefield Network (SD-NBN)
Description: This proposed research is the first extensive study to explore the operational benefits and impacts of a SDN-based architecture on future Naval battlefield network operations. This SD-NBN project focuses on adapting SDN technologies to tactical networks and developing SDN-based traffic engineering methods including controller and switching design, topology and flow optimization, and monitoring and adaptation mechanisms based on a SDN-based architecture for tactical environments.
Members involved:The Boeing Company / UCLA
Status: In progress; Type: Research
Students engaged: Undergraduated (2) / Master (1) / Doctorate (2)
Members: Eduardo Coelho Cerqueira - Coordinator / Mario Gerla - Integrant
2014 – Present Date
Study, Creation and Validation of New Mechanisms in Future Internet for supporting Mobile Multimedia Sessions with High-Demand of Transport Resources (SMART)
This project has been certified by its coordinator, Augusto José Venâncio Neto in 03/05/2015
Description: This project mainly focuses on studying, creating and validate the SMART Framework (Reliable Support of Multimedia Mobile Sessions with High-Demand of Transport Resources). SMART follows a clean-slate approach in order to compose a holistic framework in the Future Internet realm. It investigates topics like Software Defined Networks (SDN), in addition to providing content based infrastructure for provisioning a novel communication system. The goal is to provide support for new services in a robust and reliable environment, capable of optimizing the network operation and its control for a better Quality of Experience (QoE) for mobile multimedia applications. Besides that, the network systems have their own strategies, mechanisms, as well as QoS and QoE driven methods, for better guide the decision-making of control and resource allocation centered in mobile users. This project also strives to create innovation such as: (I) Set parameters which represent QoS and QoE requirements of mobile multimedia sessions; (ii) Extend Openflow so that it can support new kinds of messages and commands in order to address new functions in SMART; (iii) Mobility prediction by the changing of QoS/QoE standards not only in the devices but also in the access points; (iv) Choosing the most suitable AP to meet the QoS/QoE requirements for a better wireless connectivity; (v) Classification and prioritization of frames in multimedia flows, protecting the most important areas of the video using Unequal Error Protection (UEP) techniques; (vi) A Multipath and Multi-homing load balancing over MPEG-DASH and Multipath TCP to maximize data throughput. The contributions are beyond a mere international cooperation, having a great impact in this cutting-edge area and contribution worldwide.
(Project in joint cooperation between CNPq – Brazil and Portugal.
Status: In progress.
Members: Eduardo Coelho Cerqueira - Integrant / Augusto J Venâncio Neto - Coordinator / Rui Aguiar - Integrant / Pedro Rosa - Integrant / Flavio Silva - Integrant.