COMCAIIAM: Combat Against Internet Threats Using Multiview Artificial Intelligence

Organization

Instituto Tecnológico y de Estudios Superiores de Monterrey

Tipo

Academic Sector

Años

2025

Paises

México

In this project, Multiview AI algorithms will be explored and implemented that have the ability to generate levels of uncertainty in their predictions in such a way that it is possible to quantify how reliable a given prediction is. This way, if a prediction is known to be unreliable, an expert can be notified to make the final decision. Multiview AI algorithms with reliability quantification will be tested in different scenarios relevant to ISP, IXP, and IoT systems, including anomaly detection and device attacks. Specifically, we will seek to combine specific protocol characteristics, statistics based on flows, contents, and packet-level behaviors, with the objective of building more efficient and discriminative multiview representations for supervised learning tasks.