Send in your ideas. Deadline June 1, 2024
Theme fund: NGI0 Entrust
Start: 2022-10
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Decentralised solutions
Data and AI

Threat intelligence sharing

Privacy-Preserving Sharing of Threat Intelligence in Trusted Adversarial Environments

Iris P2P is a peer to peer system for sharing security detections and threat intelligence with trusted models resilient to manipulation attacks

Most P2P systems are designed for file sharing, storage, chat, etc. but they are not prepared to share security detections, threat intelligence data and alerts. The security world needs better ways to automatically share intelligence data with trusted organizations and peers. This sharing is better decentralized so no single organization has control or can censor, sell or modify the data. Especially due to privacy concerns of what is done with your data.

Iris is the first global P2P system that is designed to solve this problem. It implements: automatic sharing of threat intelligence data when you are attacked, controlling the spread in the P2P to spread slowly, alerting the network of a new attacker. Controlling the spread in the P2P to be fast, asking peers about the reputation of other peers, and defining ‘organizations’ in the P2P network using the DHT and private/public keys. Organizations can publish their keys in conventional communication systems to attest ownership (social media, etc.) All communication is encrypted with private/public keys. You can control the privacy of your data by defining to which organizations and peers you want to share your data. You can also control the transfer of data with epidemic algorithms. All data is evaluated according to the trust in the other peers.

Defining trust of each peer in the network with a new protocol (Fides) which computes the trust in each peer by balancing the direct interactions with peers and reputation of peers according to the rest of the peers. Fides implements a mathematical model to guarantee that no adversarial peer can lie to manipulate the reputation and the trust.

Run by Czech Technical University in Prague

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This project was funded through the NGI0 Entrust Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101069594.