GiCP · CSIC · ITEFI
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The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of nov
Virtual and digital twins are means of high value to characterize, model and control physical systems, providing the basis for a simulation environment and lab. In the case of a digital twin, it is possible to have a rep
The continuously evolving nature of cryptography is driven by the emergence of new threats and attack vectors. Quantum computers pose a paradigmatic security risk to cryptography, challenging its very core principles. Th
Distributed Ledger Technologies (DLT) in general, and blockchain, in particular, can help enhance the reliability of authentication, authorisation, audit, and accountability (AAAA) protocols. The use of advanced cryptogr
Authentication remains a critical challenge in IIoT environments, particularly due to the resource constraints of edge devices.To address the limitations of traditional authentication methods (e.g.,passwords or PKI) in r
We present a post-quantum (PQ) upgrade of RESEKRA, a Trusted Platform Module (TPM)-centric remote attestation protocol for IoT devices, aligned with FIPS 203 (ML-KEM) and FIPS 204 (ML-DSA). Our hybrid design combines lat
The upcoming release of the NIST Artificial Intelligence risk management framework and the European Union AI Act raises new and intriguing questions about the risk analysis of AI-based systems. To address these issues, t
Amongst all types of fabricated information travelling on open social networks, scientific disinformation, or cloaked science, is both insidious and challenging to be investigated. Here we present the design of the TRESC
Detecting unreliable information in social media is an open challenge, in part as a result of the difficulty to associate a piece of information to known and trustworthy actors. The identification of the origin of source
In our democracy a trade-off between checks and balances is mandatory. To play the role of balances, it is necessary to have information that is often only obtainable through channels that ensure the anonymity of the sou
In this paper we present an analysis of misinformation cross-platform dynamics by focusing on communications published by COVID19 negationists on Twitter and Telegram. Previous research shows the need for better explanat
In this article we address the challenge of detecting the generation and spreading of misleading information in the specific scenario of clickbait. Our contribution consists of a methodology that combines a deep neural n
