Occurrence Probability of SNI in Accessing Service for Improving Accuracy of Service Identification

Author:

Asaoka Ryo1,Nakao Akihiro2,Oguchi Masato3,Yamaguchi Saneyasu4

Affiliation:

1. Kogakuin University Graduate School,Electrical Engineering and Electronics,Tokyo,Japan

2. The University of Tokyo,Interfaculty Initiative in Information Studies,Tokyo,Japan

3. Ochanomizu University,Department of Information Sciences,Tokyo,Japan

4. Kogakuin University,Department of Information and Communications Engineering,Tokyo,Japan

Publisher

IEEE

Reference6 articles.

1. Service Identification from IP Traffic and its Accuracy;asaoka;2022 International Conference on Emerging Technologies for Communications (IEICE ICETC 2022),2022

2. Service Identification of TLS Flows Based on Handshake Analysis

3. Toward the Accurate Identification of Network Applications

4. Accuracy Improvement by Occurrence Probability of Service Identification based on SNI

5. Identification of Mobile Applications via In-Network Machine Learning Using N-gram for Application-Specific Traffic Control;iwai;IEICE Tech Rep,2015

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