Research and Application of Malicious Code Detecting Platform in Intranet

DOI

10.2991/iccia-17.2017.66How to use a DOI?

Keywords

Malicious code, dynamic analysis, trojan horse, vulnerability.

Abstract

Intranet and extranet information interactions are increased constantly aiming at IP network equipment interconnection, which become actual conditions of more and more complex uncertain systems. A malicious code behavior detecting platform is designed and realized by combining with the characteristics of network attack, attack methods and principles used by the malicious code. Automatic flow of analyzing malicious codes is realized. It is preliminarily applied in internal IP network. Malicious code detecting platform provides strong guarantee and support for stable, efficient and safe operation of space detection task networks, which provides reference for maintenance personnel to implement emergency disposal quickly and properly.

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  - Xiaojun Zhang
AU  - Yong Sun
AU  - Xuefan He
PY  - 2016/07
DA  - 2016/07
TI  - Research and Application of Malicious Code Detecting Platform in Intranet
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 392
EP  - 397
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.66
DO  - 10.2991/iccia-17.2017.66
ID  - Zhang2016/07
ER  -