Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)

SPID-based Method of Trojan Horse Detection

Authors
Xunyi Ren, Guibing Qian
Corresponding Author
Xunyi Ren
Available Online March 2013.
DOI
10.2991/icibet.2013.134How to use a DOI?
Abstract

The Trojans have become a hidden threat to computer security, how to identify various Trojan efficiently and accurately is a current research focus. In this paper, based on the research of SPID's attribute meters, we proposed a method to detect and identify Trojan that based on the SPID feature optimization. The method uses SPID attribute meters to analysis with common protocol, generating a model to identify Trojan. Then, get the combination of 12 attribute meters to identify Trojan by statistical the result of the recognition. Experimental results shows that the optimized combination of attribute meters have a high efficiency to identify Trojan based on keeping SPID detection accuracy.

Copyright
© 2013, 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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Volume Title
Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/icibet.2013.134
ISSN
1951-6851
DOI
10.2991/icibet.2013.134How to use a DOI?
Copyright
© 2013, 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/).

Cite this article

TY  - CONF
AU  - Xunyi Ren
AU  - Guibing Qian
PY  - 2013/03
DA  - 2013/03
TI  - SPID-based Method of Trojan Horse Detection
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 627
EP  - 630
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.134
DO  - 10.2991/icibet.2013.134
ID  - Ren2013/03
ER  -