Jared Harwayne-Gidansky

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Low-discrepancy sequences, also known as " quasi-random " sequences, are numbers that are better equidistributed in a given volume than pseudo-random numbers. Evaluation of high-dimensional integrals is commonly required in scientific fields as well as other areas (such as finance), and is performed by stochastic Monte Carlo simulations. Simulations which(More)
—Computers face an ever increasing number of threats from hackers, viruses and other malware; effective Network Intrusion Detection (NID) before a threat affects end-user machines is critical for both financial and national security. As the number of threats and network speeds increase (over 1 gigabit/sec), users of conventional software based NID methods(More)
Monte Carlo simulations and other scientific applications that depend on random numbers are increasingly implemented in parallel configurations in programmable hardware. High-quality pseudo-random number generators (PRNGs), such as the Mersenne Twister, are based on binary linear recurrence equations. They have extremely long periods (more than(More)
—Fast stream ciphers are used extensively for en-crypted data transmission in mobile networks and over multi-gigabit links. CryptMT, a recently proposed stream cipher, is one of the final candidates for standardization by the European Union's eSTREAM project. Cryptanalysis of CryptMT has discovered no feasible attacks thus far. We present a scalable(More)
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