Sync-Codes Identification Based on Self-Similarity of Network

DOI

10.2991/icecee-15.2015.179How to use a DOI?

Keywords

Bit-stream; Sync-codes; Self-similarity; Variance-feature;

Abstract

How to correctly segment frames from bit-stream of unknown link-layer protocol is an important issue in the field of information security. Sync-codes identification is the essence of bit-stream segmentation, while the key of sync-codes identification is mining features of sync-codes distinguished from non-sync-codes. Inspired by self-similarity of network traffic, we infer that the bit-stream is also self-similar and infer the variance-feature of sync-codes based on the self-similarity of bit-stream. The sync-codes identification algorithm is designed in order to verify the correctness of sync-codes’ variance-feature and the results of experiment prove the correctness of the method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - LiZheng Gao
AU  - JunYong Luo
AU  - Yan Liu
AU  - MeiJuan Yin
AU  - Kai Luo
PY  - 2015/06
DA  - 2015/06
TI  - Sync-Codes Identification Based on Self-Similarity of Network
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 939
EP  - 944
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.179
DO  - 10.2991/icecee-15.2015.179
ID  - Gao2015/06
ER  -