Internet Stability and Security
System for detecting attacks through the creation of open data and Artificial Intelligence in cybersecurity applications
Grant
Implementation of Machine Learning algorithms which will be validated through the creation of a testbed and dataset with information that represents frequent attacks in Latin America according to statistics and open data, thus developing a usable application for the region.
Open and Free Internet
Tec Para Todos: Expanding digital inclusion for the economic empowerment of rural and indigenous women in the Sierra Otomí-Tepehua-Nahua, Mexico
Grant
PSYDEH proposes a project that builds on our core programming linking women’s economic empowerment with digital inclusion to increase the capacity of members to use internet tools to develop, market and sell their textiles and design a sustainable tourism route that will bring economic and social benefits to the region. Key project activities include building two additional digital resource centers in the region, conducting basic computer skills workshops and a two-month intensive digital entrepreneurship course, supporting cooperatives in developing branding and marketing strategies, and developing a regional online sales platform where women can sell their products.
InteliGente: Building Paths of Equality with Artificial Intelligence
Award
InteliGente is an innovative initiative dedicated to integrating AI into education, fostering equity, and personalizing learning experiences for students’ diverse needs. By empowering students to develop AI solutions for social good, we are advancing education, democratizing AI, and addressing disparities in access to technology, particularly in regions such as the Global South. The project’s main innovation lies in the integration of active learning methodologies with a focus on AI.
Artificial Intelligence applied to the Internet and networks
DDoS ATTACK DETECTION IN COMPUTER NETWORKS BASED ON A JOINT STACKING ARCHITECTURE OF MACHINE LEARNING MODELS
Grant
This work is based on the exploration and selection of a dataset that represents DDoS attack events and its treatment in a pre-processing phase, resulting in the training, validation and test datasets. Subsequently, in layer 0, a set of ML models will be instantiated to train them; once trained, predictions are made on the validation set. Finally, the base models make predictions on the test dataset. These predictions feed the metamodel to make the final predictions and, consequently, obtain the metrics of the joint stacked model, such as accuracy, precision, recall, F1 score, confusion matrix, and ROC-AUC, among others. Throughout the training of the models, different configurations will be tested and the hyper-parameters that present a better result based on the proposed metrics will be chosen.
TinyML for Anomaly Detection using Programmable Data Planes in Software Defined Networking Architecture
Grant
As an approach to address the challenges represented, the use of so-called Tiny Machine Learning – TinyML has recently been proposed. TinyML is a paradigm that facilitates the use of ML on devices with limited processing and low memory capacity.
This project proposes the implementation of compressed ML/DL techniques developed using TinyML for the detection of DoS and DDoS attacks in programmable switches in a software-defined network. The objective is to validate the operation of these ML/DL techniques in the data plane, comparing metrics such as the accuracy in the detection of anomalies, and the consumption of resources in the switches.
Non-financial technical support
Internet Stability and Security
Comprehensive and intelligent management of network infrastructures through reinforcement learning, Universidad de Antioquia, Academic Sector, Colombia.
Contribution to an informed discussion of public policies that impact the architecture of the Internet and favor its fragmentation, ALAI, Civil Society, Uruguay.
Open and Free Internet
INDIGITAL 2.0: Indigenous digital participation in Oaxaca through appropriation of digital rights and access to information in native languages, Surco, University Services and Knowledge Networks in Oaxaca, AC., Civil Society, Mexico.
Empowering women through ICTs: Comprehensive training and professional development program for residents in inland areas of Uruguay, Chile and Colombia. Abstracta SAS, Private Sector, Uruguay.
Health Messaging System – ChatMed, Fundación Movimiento Contra el Cáncer, Civil Society, Nicaragua.
TEALS: Technological literacy schools in Ciudad Juárez, Fundación Axcel A.C., Civil Society, Mexico.
New opportunities for the present and the future: reducing the digital divide by strengthening the Misiones Maker Spaces Network, Government of the Province of Misiones through the Ministry of Finance, Public Works and Services and the Misiones Robotics School, Government, Argentina.
Segur@s en Línea: Exploring digital gender violence in university environments in Central America, Pan-American Institute of Law and Technology – IPANDETEC, Civil Society, Panama.
Digital Empowerment: Comprehensive Training for Inclusion and Employability in Latin America, Technology with Purpose Foundation, Civil Society, Argentina.
Wiki Climate Observatory, Wikimedia User Group in Brazil, Civil Society, Brazil.
