CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense. (arXiv:2301.11767v1 [cs.CR])

Critical servers can be secured against distributed denial of service (DDoS)
attacks using proof of work (PoW) systems assisted by an Artificial
Intelligence (AI) that learns contextual network request patterns. In this
work, we introduce CAPoW, a context-aware anti-DDoS framework that injects
latency adaptively during communication by utilizing context-aware PoW puzzles.
In CAPoW, a security professional can define relevant request context
attributes which can be learned by the AI system. These contextual attributes
can include information about the user request, …

artificial artificial intelligence attacks attributes aware communication context critical ddos defense denial of service distributed distributed denial of service framework intelligence latency network patterns pow proof of work request security servers service systems work