Aias Editor

The AIAS project is proud to support groundbreaking research in trust prediction and management for IoT ecosystems! 🌍🔒 Congratulations to Michalis Bampatsikos, Ilias Politis, and Thodoris Ioannidis for their remarkable work on the research paper “Trust Score Prediction and Management in IoT Ecosystems Using Markov Chains and MADM Techniques,” recently published in the prestigious IEEE […]

We are pleased to announce a new publication that acknowledges the AIAS project: 📄 Title: Trust Score Prediction and Management in IoT Ecosystems Using Markov Chains and MADM Techniques✍️ Authors: Bampatsikos M, Politis I, Ioannidis T, Xenakis C.📚 Journal: IEEE Transactions on Consumer Electronics📅 Publication Date: January 17, 2025🔗 Read the paper: https://shorturl.at/tugt5 This paper

As 2024 comes to a close, the AIAS project reflects on a year filled with groundbreaking advancements, engaging events, and valuable collaborations. Our mission to enhance AI security through adversarial defense mechanisms, deception strategies, and explainable AI has made significant strides, thanks to the dedication of our consortium members and partners. Key Highlights of 2024

We are thrilled to announce that the AIAS project has officially released its brochure, now available in English, Spanish, Greek, and Romanian. This brochure provides an in-depth look at the project’s goals, vision, and the significant impact it aims to have across multiple communities. The AIAS brochure details the core objectives of the project, the