Abstract. This paper initiates a study of two-party identification and key-exchange protocols in which users authenticate themselves by proving possession of credentials satisfying arbitrary policies, instead of using the more traditional mechanism of a public-key infrastructure. Definitions in the universal composability framework are given, and practical protocols satisfying these definitions, for policies of practical interest, are presented. All protocols are analyzed in the common reference string model, assuming adaptive corruptions with erasures, and no random oracles. The new security notion includes password-authenticated key exchange as a special case, and new, practical protocols for this problem are presented as well, including the first such protocol that provides resilience against server compromise (without random oracles).
It is desired to reduce the time required to produce metrology data for calibration of Optical Proximity Correction (OPC) models and also maintain or improve the quality of the data collected with regard to how well that data represents the types of patterns that occur in real circuit designs. Previous work based on clustering in geometry and/or image parameter space has shown some benefit over strictly manual or intuitive selection, but leads to arbitrary pattern exclusion or selection which may not be the best representation of the product. Forming the pattern selection as an optimization problem, which co-optimizes a number of objective functions reflecting modelers' insight and expertise, has shown to produce models with equivalent quality to the traditional plan of record (POR) set but in a less time.
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.