Biblio

e-Government is needed to actualize clean, effective, transparent and accountable governance as well as quality and reliable public services. The implementation of e-Government is currently constrained because there is no derivative regulation, one of which is the regulation for e-Government Security. To answer this need, this study aims to provide input on performance management and governance systems for e-Government Security with the hope that the control design for e-Government Security can be met. The results of this study are the e-Government Security Governance System taken from 28 core models of COBIT 2019. The 28 core models were taken using CSF and risk. Furthermore, performance management for this governance system consists of capability and maturity levels which is an extension of the evaluation process in the e-Government Evaluation Guidelines issued by the Ministry of PAN & RB. The evaluation of the design carried out by determining the current condition of capability and maturity level in Badan XYZ. The result of the evaluation shows that the design possible to be implemented and needed.

In this paper, we analyze the cyber resilience for the energy delivery systems (EDS) using critical system functionality (CSF). Some research works focus on identification of critical cyber components and services to address the resiliency for the EDS. Analysis based on the devices and services excluding the system behavior during an adverse event would provide partial analysis of cyber resilience. To address the gap, in this work, we utilize the vulnerability graph representation of EDS to compute the system functionality under adverse condition. We use network criticality metric to determine CSF. We estimate the criticality metric using graph Laplacian matrix and network performance after removing links (i.e., disabling control functions, or services). We model the resilience of the EDS using CSF, and system recovery curve. We also provide a comprehensive analysis of cyber resilience by determining the critical devices using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and AHP (Analytical Hierarchy Process) methods. We present use cases of EDS illustrating the way control functions and services in EDS map to the vulnerability graph model. The simulation results show that we can estimate the resilience metric using different types of graphs that may assist in making an informed decision about EDS resilience.