Side-channel analysis benefits a lot from deep learning techniques, which assist attackers in recovering the secret key with fewer attack traces than before, but it remains a problem to precisely measure deep learning model performance, so as to obtain a high-performance model.Commonly used evaluation metrics for deep learning like accuracy and pre
While software defined network (SDN) brings more innovation to the development of future networks, it also faces a more severe threat from DDoS attacks.In order to deal with the single point of failure on SDN controller caused by DDoS attacks, we propose a framework for detection and defense of DDoS attacks in the SDN environment.Firstly, we deploy
A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any machine learning method to efficiently fill in any missing or irregularly sampled data.It applies to data missing completely at random (MCAR), missing not at random (MNAR), and missing at Groomers random (MAR).IBFI utilizes the feature importance and i
We propose to disclose first degree analogous features between cancer and infectious diseases and to find out whether these similarities Gaming Desk are superficial and negligible, due to the use of the same bodily pathways by the two categories of disease or if they represent significantly parallel characteristics.We have found several primary ana