TY - GEN
T1 - Development of a cyber-situational awareness model of risk maturity using fuzzy fmea
AU - Chandra, Nungky Awang
AU - Putri Ratna, Anak Agung
AU - Ramli, Kalamullah
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/17
Y1 - 2020/10/17
N2 - This paper uses Endsley's situational awareness model as a starting point for creating a new cyber-security awareness model for risk maturity. This is used to model the relationship between risk management-based situational awareness and levels of maturity in making decisions to deal with potential cyber-Attacks. The risk maturity related to cyber situational awareness using the fuzzy failure mode effect analysis (FMEA) method is needed as a basis for effective risk-based decision making and to measure the level of maturity in decision making using the Software Engineering Institute Capability Maturity Model Integration (SEI CMMI) approach. The novelty of this research is that it builds a model of the relationship between the level of maturity and the level of risk in cyber-situational awareness. Based on the data during the COVID-19 pandemic, there was a decrease in the number of incidents, including the following decreases: from 15-29 cases of malware attacks to 8-12 incidents, from 20-35 phishing cases to 12-15 cases and from 5-10 ransomware cases to 5-6 cases.
AB - This paper uses Endsley's situational awareness model as a starting point for creating a new cyber-security awareness model for risk maturity. This is used to model the relationship between risk management-based situational awareness and levels of maturity in making decisions to deal with potential cyber-Attacks. The risk maturity related to cyber situational awareness using the fuzzy failure mode effect analysis (FMEA) method is needed as a basis for effective risk-based decision making and to measure the level of maturity in decision making using the Software Engineering Institute Capability Maturity Model Integration (SEI CMMI) approach. The novelty of this research is that it builds a model of the relationship between the level of maturity and the level of risk in cyber-situational awareness. Based on the data during the COVID-19 pandemic, there was a decrease in the number of incidents, including the following decreases: from 15-29 cases of malware attacks to 8-12 incidents, from 20-35 phishing cases to 12-15 cases and from 5-10 ransomware cases to 5-6 cases.
KW - cyber-security
KW - cyber-situational awareness
KW - FMEA
KW - fuzzy
KW - maturity
UR - http://www.scopus.com/inward/record.url?scp=85097626936&partnerID=8YFLogxK
U2 - 10.1109/IWBIS50925.2020.9255543
DO - 10.1109/IWBIS50925.2020.9255543
M3 - Conference contribution
AN - SCOPUS:85097626936
T3 - 2020 International Workshop on Big Data and Information Security, IWBIS 2020
SP - 127
EP - 136
BT - 2020 International Workshop on Big Data and Information Security, IWBIS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Workshop on Big Data and Information Security, IWBIS 2020
Y2 - 17 October 2020 through 18 October 2020
ER -