Predicting Vulenrable Software Components through N-gram Analysis and Statistical Feature Selection

Akbar Siami Namin; Yulei Pang; Xiaozhen Xue

Predicting Vulenrable Software Components through N-gram Analysis and Statistical Feature Selection

Akbar Siami Namin, Yulei Pang, Xiaozhen Xue

Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

• Yulei Pang, Xiaozhen Xue, and Akbar Siami Namin, Predicting Vulenrable Software Components through N-gram Analysis and Statistical Feature Selection, International Conference on Machine Learning Applications (ICMLA), Miami, FL, USA, 2015

Original language	English
State	Published - Dec 1 2015

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@conference{b590bde2f009454788e7795f2220f034,

title = "Predicting Vulenrable Software Components through N-gram Analysis and Statistical Feature Selection",

abstract = "• Yulei Pang, Xiaozhen Xue, and Akbar Siami Namin, Predicting Vulenrable Software Components through N-gram Analysis and Statistical Feature Selection, International Conference on Machine Learning Applications (ICMLA), Miami, FL, USA, 2015",

author = "{Siami Namin}, Akbar and Yulei Pang and Xiaozhen Xue",

year = "2015",

month = dec,

day = "1",

language = "English",

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TY - CONF

T1 - Predicting Vulenrable Software Components through N-gram Analysis and Statistical Feature Selection

AU - Siami Namin, Akbar

AU - Pang, Yulei

AU - Xue, Xiaozhen

PY - 2015/12/1

Y1 - 2015/12/1

N2 - • Yulei Pang, Xiaozhen Xue, and Akbar Siami Namin, Predicting Vulenrable Software Components through N-gram Analysis and Statistical Feature Selection, International Conference on Machine Learning Applications (ICMLA), Miami, FL, USA, 2015

AB - • Yulei Pang, Xiaozhen Xue, and Akbar Siami Namin, Predicting Vulenrable Software Components through N-gram Analysis and Statistical Feature Selection, International Conference on Machine Learning Applications (ICMLA), Miami, FL, USA, 2015

M3 - Paper

ER -

Predicting Vulenrable Software Components through N-gram Analysis and Statistical Feature Selection

Abstract

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