ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper Media Application Behavior Classification through Windows API Analysis
Cited - time in scopus Share share facebook twitter linkedin kakaostory
Authors
Minho Han, Sun-Joong Kim
Issue Date
2016-10
Citation
International Conference on Consumer Electronics (ICCE) 2016 : Asia, pp.694-695
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
As the media market is activated, various media applications are distributed and installed on user system. In this situation, if media application is malware, the user system and internal network can be at risk. If the behavior of media applicant may be analyzed, the system administrator can minimize the damage of user system and prepare the response to the attacks that can occur in the future. In this paper, we propose a method to recognize the behavior of the media application through Windows API analysis.
KSP Keywords
Application behavior, Behavior classification, Media applications, Windows api, internal network, system administrator