SIGABA is a rotor-based cipher machine that is famous for its service during World War II by the United States. Compared to other ciphers used in World War II, such as the German Enigma or the Japanese Purple, SIGABA’s security was undefeatable, as it was the only cipher to withstand all cryptanalytic attacks in the course of its usage. This thesis covers the history of SIGABA’s development, how SIGABA works, and a cryptanalytic attack on SIGABA. The attack covered in this thesis has never been implemented before and is divided into a primary phase and secondary phase. The attack recovers SIGABA’s keyspace by targeting SIGABA’s rotor banks separately, while demonstrating SIGABA’s strength in design that separates it from other ciphers. ACKNOWLEDGEMENTS To my parents who taught me the value of an education and raised me to be the person I am today.

AbstractÐTwo of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial

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Abstract In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a

Abstract A large number of clustering approaches have been proposed for the analysis of gene expression data obtained from microarray experiments. However, the results of the application of standard clustering methods to genes are limited. These limited results are imposed by the existence of a

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Abstract: This paper examines the joint time series of the S&P 500 index and near-the-money short-dated option prices with an arbitrage-free model, capturing both stochastic volatility and jumps. Jump-risk premia uncovered from the joint data respond quickly to market volatility, becoming more

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