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A study on analysis of malicious code behavior information for predicting security threats in new environmentsoa mark
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Publication Year
2019-03-31
Publisher
Korean Society for Internet Information
Citation
KSII Transactions on Internet and Information Systems, Vol.13, pp.1611-1625
Keyword
Cyber securityMalicious codeMalwareSecurity threat
Mesh Keyword
Anti virusCyber securityMalicious codesMalicious-code analysisSecurity threats
All Science Classification Codes (ASJC)
Information SystemsComputer Networks and Communications
Abstract
The emergence of new technologies and devices brings a new environment in the field of cyber security. It is not easy to predict possible security threats about new environment every time without special criteria. In other words, most malicious codes often reuse malicious code that has occurred in the past, such as bypassing detection from anti-virus or including additional functions. Therefore, we are predicting the security threats that can arise in a new environment based on the history of repeated malicious code. In this paper, we classify and define not only the internal information obtained from malicious code analysis but also the features that occur during infection and attack. We propose a method to predict and manage security threats in new environment by continuously managing and extending.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30714
DOI
https://doi.org/10.3837/tiis.2019.03.028
Fulltext

Type
Article
Funding
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. NRF-2017R1E1A1A01075110).
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KWAK, JIN Image
KWAK, JIN곽진
Department of Cyber Security
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