Researchers have created a novel machine-learning based framework, CryptoDNA, to address Distributed Denial-of-Service (DDoS) attacks threatening healthcare Internet of Things (IoT) devices. The framework uses behavioural analytics, entropy-based traffic analysis, and other features to detect anomalies and flags potential threats. The system achieved a detection accuracy of 96.8% and can adapt to device conditions, demonstrating its effectiveness and efficiency against cyber threats in healthcare IoT environments.
Help! We’re drowning in email spam, it’s about to get worse and there’s nothing we can do to stop it
Security firm VIPRE handled 7.2 billion emails in 2024 and discovered 858 million instances of spam. About 90% of all emails were classified as spam,
