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@article{ART002991977},
author={Lee, Hyung Woo},
title={Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2023},
volume={9},
number={4},
pages={1-8},
doi={10.20465/KIOTS.2023.9.4.001}

TY - JOUR
AU - Lee, Hyung Woo
TI - Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments
JO - Journal of Internet of Things and Convergence
PY - 2023
VL - 9
IS - 4
PB - The Korea Internet of Things Society
SP - 1
EP - 8
SN - 2466-0078
AB - As cyber attacks become more intelligent and advanced, cyber attacks targeting heterogeneous systems such as Internet of Things (IoT) devices are increasing. There is a need for a technique to share detailed threat information about the incident attack. In the event of an infringement incident, a technique that can express digital forensic artifacts collected from heterogeneous IoT devices as indicators of compromise (IoC) and share them must be established. In particular, when malicious code is executed targeting various IoT devices, an efficient IoC generation method to express cyber threat information and share it among CTI systems must be presented. Therefore, in this study, the existing IoC creation method and expression method were analyzed. A classification system for generating IoC for malware and an efficient and standardized expression method were presented. Based on the proposed IoC expression and standardization method, it is expected that it will be able to actively respond to intelligent attacks when establishing an accident management framework
KW - IoT;Malware;Cyber Incident;Indicators of Compromise;Cyber Threat Intelligence
DO - 10.20465/KIOTS.2023.9.4.001
ER -

Lee, Hyung Woo. (2023). Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments. Journal of Internet of Things and Convergence, 9(4), 1-8.

Lee, Hyung Woo. 2023, "Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments", Journal of Internet of Things and Convergence, vol.9, no.4 pp.1-8. Available from: doi:10.20465/KIOTS.2023.9.4.001

Lee, Hyung Woo "Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments" Journal of Internet of Things and Convergence 9.4 pp.1-8 (2023) : 1.

Lee, Hyung Woo. Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments. 2023; 9(4), 1-8. Available from: doi:10.20465/KIOTS.2023.9.4.001

Lee, Hyung Woo. "Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments" Journal of Internet of Things and Convergence 9, no.4 (2023) : 1-8.doi: 10.20465/KIOTS.2023.9.4.001

Lee, Hyung Woo. Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments. Journal of Internet of Things and Convergence, 9(4), 1-8. doi: 10.20465/KIOTS.2023.9.4.001

Lee, Hyung Woo. Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments. Journal of Internet of Things and Convergence. 2023; 9(4) 1-8. doi: 10.20465/KIOTS.2023.9.4.001

Lee, Hyung Woo. Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments. 2023; 9(4), 1-8. Available from: doi:10.20465/KIOTS.2023.9.4.001

Lee, Hyung Woo. "Indicators of Compromise Data Generation Method for Malware on Cyber Incident Occurrence in IoT Environments" Journal of Internet of Things and Convergence 9, no.4 (2023) : 1-8.doi: 10.20465/KIOTS.2023.9.4.001