Network threat assessment based on attribute recognition

Authors:
Jiaquan Si;Qiang Zhang;Dapeng Man;Kaizhuo Wang;Wu Yang
Affiliations:
Information Security Research Center, Harbin Engineering University, Heilongjiang, China;Information Security Research Center, Harbin Engineering University, Heilongjiang, China;Information Security Research Center, Harbin Engineering University, Heilongjiang, China;Information Security Research Center, Harbin Engineering University, Heilongjiang, China;Information Security Research Center, Harbin Engineering University, Heilongjiang, China
Venue:
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 2
Year:
2009

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Abstract

Network threat assessment is an important branch of information security assessment. Its research involves data fusion and data mining. This paper provided an overview of related research efforts in the area of network threat assessment. It presented a network threat assessment framework, and demonstrated a computational approach based on attribute recognition theory. In the computational example, entropy value method is used to determine the index weight. The example's result indicates that attribute recognition theory is simple, practical and able to evaluate network threats effectively.