Proceedings of the 2014 International Conference on Computer Science and Electronic Technology

detection of behavior violating ethics rules in computer networks

Authors
Fan Yang
Corresponding Author
Fan Yang
Available Online January 2015.
DOI
10.2991/iccset-14.2015.62How to use a DOI?
Keywords
ethics rules; similarity estimation; computer network
Abstract

Most of the human destruction can be attributed to the ethical rules sabotage. Existing methods are mainly conduct to property calculation or structure measure of the malicious program code, lack of weighing from ethics rules angle. This paper proposes a network threaten detection algorithm to measure how much a behavior violating the ethics rules. It weighs the malicious behaviors through improved ethics rules and comprehensively estimates the structure similarity of intentional programs. The simulation results show that the proposed algorithm can make a more accurate estimation for the intentional similarity thus measuring the behavior violates ethic rules.

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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Volume Title
Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/iccset-14.2015.62
ISSN
2352-538X
DOI
10.2991/iccset-14.2015.62How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Fan Yang
PY  - 2015/01
DA  - 2015/01
TI  - detection of behavior violating ethics rules in computer networks
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 286
EP  - 288
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.62
DO  - 10.2991/iccset-14.2015.62
ID  - Yang2015/01
ER  -