Generative AI and Structured Prompt Engineering for Adaptive Cyber Deception
SPADE, a systematic framework that uses generative-AI language models driven by structured prompt engineering to automatically generate adaptive cyber-deception ploys (such as honeypot and decoy configurations) tuned to observed malware behavior. It targets the specific failure modes large language models bring to this task, generalized outputs, ambiguity, under-use of contextual information, and limited scalability, and evaluates candidate models across malware scenarios using Recall, Exact Match, BLEU, and expert quality assessments, finding ChatGPT-4o the strongest performer.
SPADE: Enhancing Adaptive Cyber Deception Strategies with Generative AI and Structured Prompt
The rapid evolution of modern malware presents significant challenges to the development of effective defense mechanisms. Traditional cyber deception techniques often rely on static or manually confi…