| Title | Development of a Cyber-Situational Awareness Model of Risk Maturity Using Fuzzy FMEA |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Chandra, Nungky Awang, Putri Ratna, Anak Agung, Ramli, Kalamullah |
| Conference Name | 2020 International Workshop on Big Data and Information Security (IWBIS) |
| Keywords | Capability maturity model, composability, Computer crime, COVID-19, cyber-security, cyber-situational awareness, decision making, FMEA, Fuzzy, maturity, Pandemics, Predictive Metrics, pubcrawl, ransomware, Resiliency, risk management, situational awareness |
| Abstract | 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. |
| DOI | 10.1109/IWBIS50925.2020.9255543 |
| Citation Key | chandra_development_2020 |
Development of a Cyber-Situational Awareness Model of Risk Maturity Using Fuzzy FMEA