Research on adaptive network theft Trojan detection model

DOI

10.2991/ameii-15.2015.344How to use a DOI?

Keywords

Trojan; Communication behavior; SVM; Incremental learning; Active probing.

Abstract

This paper intends to establish theft Trojans detection system capable of adaptive dynamic feedback learning. To achieve this goal, this paper first studies the characteristics of the network data stream and theft Trojans communication data stream, then introduces support vector machine algorithm based on incremental learning, proposes the construction method of incremental learning samples, designs and implements the theft Trojan detection system with self-adaptive capability. Finally, the experimental results in a real network environment verify the effectiveness and efficiency of the system.

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  - Ting Wu
PY  - 2015/04
DA  - 2015/04
TI  - Research on adaptive network theft Trojan detection model
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1855
EP  - 1859
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.344
DO  - 10.2991/ameii-15.2015.344
ID  - Wu2015/04
ER  -