On the Security and Privacy of Federated Learning: a Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions

Federated Learning FL is an emerging distributed machine learning paradigm enabling multiple clients to train a global model collaboratively without sharing their raw data. While FL enhances data privacy by design, it remains vulnerable to various security and privacy threats. This survey provide...

How to secure body-worn cameras and protect footage from cyber threats

TL;DR Body-worn cameras are used by police and other security personnel Cameras are taken into the field but footage could be presented as evidence Cryptographic approaches are needed to ensure the confidentiality and integrity of captured video and audio Cybersecurity challenges of body-worn...