Common Auxiliary Registry for Tactical Interoperable Operations. A scientific alternative for data standardization and identity management in disaster scenarios and degraded networks (DIL).
Semantic structure for Day Zero joint operations, aligned with the concepts of the NATO Federated Mission Networking (FMN).
Persistence mapped to local memory (LMDB) and opportunistic synchronization for operational survival under signal loss.
Modeling designed under the Geneva Conventions and UN/OCHA sensitive data protection guidelines in crises.
The CARTIO Project works on the development of data standards aimed at operational resilience. The directory architecture is divided into three complementary fronts.
The theoretical foundation of logical self-sufficiency, the need for identity standardization, and the collaborative process of technical evolution.
Read Manifesto →The modeling of physical layer data transport: compact tag-length-value (TLV) encoding and opportunistic replication.
View Specification →The documentation of custom LDAP classes and attributes for cataloging individuals, biometrics, and field assets.
Explore Wiki →The Brazilian Army plays a fundamental role in supporting the population in natural disaster scenarios, guaranteeing sovereignty, and monitoring land borders. In these extreme crisis situations, the partial or total loss of commercial communications is a constant.
It is at this threshold of high entropy that the CARTIO Project fits in: proposing an open, lightweight, and autonomous standard to guarantee access control and identity flow without depending on cloud connectivity or robust backhauls.
The project's research is developed at the Military Institute of Engineering (IME), whose origin dates back to the Real Academy of Artillery, Fortification, and Design, founded in 1792, configuring the first engineering school of the Americas and the third in the world.
This heritage of scientific engineering guides the project, combining classic computing with network survivability to provide solutions that support decision-making when conventional means fail.
