diot. dev - DÏoT DÏoT offers a unique AI-driven intrusion detection technology utilizing federated self-learning algorithm to monitor and protect IoT devices
Diot-Siaci | Conseil et de courtage d’assurance A STRONG INTERNATIONAL CULTURE A global presence To serve its clients internationally, the Diot-Siaci Group has its own offices in some 40 countries and a network of partners
Diot-Siaci announces revenue growth of 28% to €1. 31 billion in 2025 Paris, April 27, 2026 – The Diot-Siaci Group, the European leader in corporate insurance and reinsurance brokerage and consulting, announces gross revenue of €1 31 billion for the financial year ended December 31, 2025 and further strengthens its international operations
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DÏoT: A Self-learning System for Detecting Compromised IoT Devices DIoT is completely autonomous and can be trained in a distributed crowdsourced manner without requiring human intervention or labeled training data Consequently, DIoT can cope with the emergence of new device types as well as new attacks
DÏoT: A Federated Self-learning Anomaly Detection System for IoT IoT devices are increasingly deployed in daily life Many of these devices are, however, vulnerable due to insecure design, implementation, and configuration As a result, many networks already have vulnerable IoT devices that are easy to compromise This has led to a new category of malware specifically targeting IoT devices However, existing intrusion detection techniques are not effective