Multiple-Chi-square Tests and Their Application on Distinguishing Attacks
Publish place: 08th Iranian Security Community Conference
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ISCC08_036
تاریخ نمایه سازی: 11 مهر 1390
Abstract:
Chi-square tests are vastly used for distinguishing random distributions, but extra care must be taken when using them on several independent variables. We noticed, the chisquare statistics, in some previous works, was computed half of its real value. Thus, to avoid possible future confusions, we formulize multiple-chi-square tests. To show the application of multiple-chi-square tests, we introduce two new tests and apply them to Trivium as a special case. These tests are modifications of ANF monomial test and, when applied to Trivium with the same number of rounds, the data complexity of them is roughly times smaller than that of previous ANF monomial test.
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Authors
Ali Vardasbi
Department of Electrical Engineering Sharif University of TechnologyTehran, Iran
Mahmoud Salmasizadeh,
Electronics Research Center Sharif University of Technology Tehran, Iran
Javad Mohajeri
Electronics Research Center Sharif University of Technology Tehran, Iran