Notices

The notice

The proponents will be able to submit complete proposals for the second phase of the process until 3/16/2017. To do so, they can use the same link above to send the files, namely: the proposal itself and the application plan, according to the model in Annex I. It is recommended the proposal to be submitted first by the American coordinator to the NSF system by means of site https://www.fastlane.nsf.gov/. Then, use the export function to generate the final version to be submitted in the Brazilian system, JEMS.

The purpose is to support and promote joint research and development projects in the area by means of consortia of Brazilian and American scientific and technological institutions and companies.

Complete call

E-mail for additional information: br-us-cybersec@rnp.br (link sends email).

Schedule

Call Release: 10/31/2016

Deadline for submission of the draft (1st phase): 12/16/2016, 11:55 pm (Brasilia)

First phase results: 01/16/2017

Deadline for submission of the complete proposal (2nd phase): 03/16/2017, 11:55 pm (Brasilia)

Result release: as of May 2017

Support to the approved proposals: as of September 2017

Selected Projects

HealthSense: Assessing and Protecting Privacy in Wireless Wearable Sensor-generated Medical Data

Subject: Internet of Things, Cyber-Human and Cyber-Physical Systems

Proposing Institutions

Universidade Federal do Pará (UFPA)

Universidade Federal do Paraná (UFPR)

Northeastern University, USA

Summary

The market estimates foresee use of over 3 billion sensors by 2025, with more than 30% of them being new sensor types that are just beginning to emerge.

As the popularity and the users´ dependence on such devices increase, new and varied types of attacks aiming intrusion and breaching privacy will surge.

This project aims to develop methodologies to guarantee privacy protection by assuring that the users' vital physiological data is transmitted confidentially
from wearable sensors to a centralized data or cloud data processing repository.

Lightweight Policy Enforcement of Information Flows in IoT Infrastructures

Subject: Internet of Things, Cyber-Human and Cyber-Physical Systems

Proposing Institutions

Universidade Federal de Pernambuco (UFPE)

University of Illinois at Urbana-Champaign (UIUC, US)

University of Michigan, Ann Arbor (UMich, US)

Summary

As IoT systems are deployed more widely, their security is becoming a serious concern. For example, Mirai malware has compromised millions of IoT devices and used them to launch the largest DDoS attack. The proposed work aims to develop a new approach to reinforce the security of IoT systems by means of defense solutions that span on multiple layers, such as application, network and the devices themselves. The core concept is based on flow policies: it is first proposed to extract the flow policies from IoT applications and then, to use these policies to filter the desired flows and detect violations (flows different from those indicated by the app) on the device layers and the network.

Researching Internet Routing Security in the Wild

Subject: Network Security and Privacy

Proposing Institutions

Universidade Federal de Minas Gerais (UFMG)

Universidade Federal do Mato Grosso do Sul (UFMS)

NIC.br

Columbia University, USA

Summary

The main goals of the project will be the progress of studies that can help locating susceptible networks, more precisely, map bot populations and serve as a step towards mitigation; assess the impact on routing efforts, suppliers and operators over time, encourage adoption of security measures; collaborate for the creation of public policies, advance the best practices and encourage their adoption; in addition to revealing the most promising subjects for studies and supporting the development of new measures against cyber-attacks.

Improving Network Security at the Network Edge

Subject: Network Security and Privacy

Proposing Institutions

Universidade Federal do Rio de Janeiro (UFRJ)

Universidade Federal de Minas Gerais (UFMG)

Universidade Federal do Pará (UFPA)

AMX-Brazil

University of Massachusetts – Amherst, USA

Summary

This project will approach the security problem of modern home networks, highlighting three contributions: the development of techniques based on statistical analysis and machine learning based on data collected from home networks to detect and classify malicious network activity; develop fingerprints of the home network traffic to enable detection of compromised devices and characterization of the behavior of such devices even when streams are encrypted; finally, work to understand the nature of the implicit data leaked by home network devices, in addition to developing tools that help users understand the risks and control the access to their data.

Securing Networks in the Programmable Data Plane Era

Subject: Network Security and Privacy

Proposing Institutions

Universidade Federal do Rio Grande do (UFRGS)

Universidade de Brasília (UNB)

Universidade Federal de Pernambuco (UFPE)

University of California-San Diego, USA

Texas A&M Engineering Experiment Station, USA

Summary

First, the work proposes to develop new network verification techniques that enable the operators to verify whether their network satisfies some security properties. Second, it proposes to use the data plan to implement a security kernel to reinforce security properties, an approach that complements the verification as a way to assure correct network behavior. Finally, the work proposes to develop new security services that take advantage of the capabilities of a programmable data plan. The results from the proposed work will promote the adoption of more secure and more flexible next-generation networks, providing the operators with the tools necessary to verify and enforce critical network security properties.