Unsupervised deep learning for IoT botnet detection in a surveillance VLAN via multi-source traffic, threat intelligence and honeypot corroboration
The increase in internet of thing devices, especially within VLANs in corporate networks, introduces significant security risks from advanced botnet attacks. Traditional signature-based detection methods struggle to identify encrypted, stealthy command-and-control traffic, while high false-positive rates overwhelm secu...