P2P Botnet Detection Method Based on Data Flow

DOI

10.2991/isaeece-17.2017.44How to use a DOI?

Keywords

P2P, botnet, data stream, detection and prevention

Abstract

P2P data transmission is the mainstream of network data transmission. P2P botnet malicious data is hidden in normal transmit data, not only difficult to detect but also could cause great harm. This paper presents a method of P2P botnet detection based on data flow, first of all, extract the P2P data stream accurately, and then detect the P2P bots data stream, the small computational complexity does not affect the normal operation of the network. According to the characteristics of the P2P bots data stream , the detection method can detect the existence of the bots before the attack start and filter out illegal data. The experiment results show that this method has good detection efficiency and further maintains the security of the network.

Copyright

© 2017, 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  - Jiajia Wang
AU  - Yu Chen
PY  - 2017/03
DA  - 2017/03
TI  - P2P Botnet Detection Method Based on Data Flow
BT  - Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017)
PB  - Atlantis Press
SP  - 235
EP  - 239
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-17.2017.44
DO  - 10.2991/isaeece-17.2017.44
ID  - Wang2017/03
ER  -