Open AccessResearch on feature selection algorithm of unknown wireless protocol based on mutual information
Author(s) -
Zhiguo Liu,
Qiaoyu Yao,
Meilin Guo,
Xueli Zha
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1871/1/012116
Subject(s) - computer science , feature selection , mutual information , data mining , redundancy (engineering) , normalization (sociology) , frame (networking) , protocol (science) , wireless , feature extraction , algorithm , identification (biology) , artificial intelligence , pattern recognition (psychology) , computer network , sociology , anthropology , operating system , medicine , telecommunications , alternative medicine , pathology , botany , biology
Aiming at the problem of unknown wireless protocol identification methods that focus on the application layer, but the wireless network application layer data is difficult to capture, and the existing method research stays at the signal level and the identification effect is poor, this paper proposes an identification method for feature selection of wireless protocol data from the data link layer. This paper extracts the protocol features of the data frame set by improving the AC algorithm and the association rule algorithm, using mutual information theory, and combining the definition of information correlation and redundancy with the normalization idea, further screening and verification of frame features are carried out to achieve effective extraction of protocol features, effectively improve the accuracy of feature sets, and thereby improve the efficiency and accuracy of protocol recognition.