Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network
Abstract Artificial Intelligence (AI)-based IDS systems are susceptible to adversarial attacks
and face challenges such as complex evaluation methods, elevated false positive rates …
and face challenges such as complex evaluation methods, elevated false positive rates …
Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder
Anomaly detection is indispensable for achieving higher availability and reliability in the
cloud computing. The traditional autoencoder-based method only models the historical …
cloud computing. The traditional autoencoder-based method only models the historical …
Dynamic Load Balancing for Enhanced Resource Utilization in IaaS Cloud Computing
Efficient load balancing is vital in cloud computing to optimize resource use, enhance
performance, and maintain application availability. Traditional methods often underutilize …
performance, and maintain application availability. Traditional methods often underutilize …