A multilevel level cell (MLC) technique for flash memories reduces the bit cost and enhances the memory density. However, it is difficult to get a required sensing margin for MLC due to the need for the tight threshold voltage control. We present a novel unified statistical model which can account for interand intra-die variations. The proposed model is implemented into SPICE to predict the distribution of performance. The sensing margin is found to increase by about 30% with optimization of sensitive transistors in the sense amplifier and high voltage regulator. The statistical optimization methodology is essential to achieve an optimal sensing margin and it is widely used for other products such as DRAM, SRAM, DDI and CIS.
CC (Common Criteria) requires collecting vulnerability information and analyzing them by using penetration testing for evaluating IT security products. Under the time limited circumstance, developers cannot help but apply vulnerability analysis at random to the products. Without the systematic vulnerability analysis, it is inevitable to get the diverse vulnerability analysis results depending on competence in vulnerability analysis of developers. It causes that the security quality of the products are different despite of the same level of security assurance. It is even worse for the other IT products that are not obliged to get the CC evaluation to be applied the vulnerability analysis. This study describes not only how to apply vulnerability taxonomy to IT security vulnerability but also how to manage security quality of IT security products practically.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.