An Adaptive Multiexecutors Scheduling Algorithm Based on Heterogeneity for Cyberspace Mimic Defense

With the rapid development of network technology, traditional defense “mending fold after sheep have been stolen” cannot accurately prevent various potential threats and attacks in cyberspace. At same time, cyberspace mimic (CMD) makes system uncertain dynamic time space to effectively defend against attacks. As key technology CMD, scheduling algorithm still needs be improved reliability active defense. Aiming at current problems, this paper first innovatively proposes a new heterogeneous measure HVTG combined with vulnerability topology graph, which measures heterogeneity executor set fine-grained manner. Then, based on historical confidence, heterogeneity, minimum sleep executor, we propose an adaptive multi-executors (HHAC) better Finally, combining Analytic Hierarchy Process Fuzzy Comprehensive Evaluation, research comprehensive evaluation model fill gap algorithm. Theoretical analysis simulation results show that HHAC performs well dynamics, probability failure, reliability, is conducive CMD.