The Experts below are selected from a list of 23133 Experts worldwide ranked by ideXlab platform
Khaled M. Khan - One of the best experts on this subject based on the ideXlab platform.
-
Assessing Security properties of software components a software engineer s perspective
Australian Software Engineering Conference, 2006Co-Authors: Khaled M. KhanAbstract:The paper proposes an assessment scheme for the Security properties of software components. The proposed scheme consists of three stages: (i) a system-specific Security requirement specification of the enclosing application; (ii) a component-specific Security rating; and (iii) an evaluation method for the scored Security properties of the candidate component. The assessment scheme ultimately provides a numeric score indicating a relative strength of the Security properties of the candidate component. The scheme is partially based on ISO/IEC 15408, the Common Criteria for Information Technology Security Evaluation (CC) and the Multi-Element Component Comparison and Analysis (MECCA) model. The scheme is flexible enough for software engineers to use in order to get a first-hand preliminary assessment of the Security posture of candidate components.
-
ASWEC - Assessing Security properties of software components: a software engineer's perspective
Australian Software Engineering Conference (ASWEC'06), 2006Co-Authors: Khaled M. Khan, Jun HanAbstract:The paper proposes an assessment scheme for the Security properties of software components. The proposed scheme consists of three stages: (i) a system-specific Security requirement specification of the enclosing application; (ii) a component-specific Security rating; and (iii) an evaluation method for the scored Security properties of the candidate component. The assessment scheme ultimately provides a numeric score indicating a relative strength of the Security properties of the candidate component. The scheme is partially based on ISO/IEC 15408, the Common Criteria for Information Technology Security Evaluation (CC) and the Multi-Element Component Comparison and Analysis (MECCA) model. The scheme is flexible enough for software engineers to use in order to get a first-hand preliminary assessment of the Security posture of candidate components.
Gerhard P J Dijkema - One of the best experts on this subject based on the ideXlab platform.
-
saint a novel quasi dynamic model for Assessing Security of supply in coupled gas and electricity transmission networks
Applied Energy, 2017Co-Authors: Kwabena Addo Pambour, Burcin Cakir Erdener, Ricardo Boladolavin, Gerhard P J DijkemaAbstract:The integration of renewable energy sources into existing electric power systems is connected with an increased interdependence between natural gas and electricity transmission networks. To analyse this interdependence and its impact on Security of supply, we developed a novel quasi-dynamic simulation model and implemented it into the simulation tool SAInt (Scenario Analysis Interface for Energy Systems), the first published software application that allows the combined simulation of gas and electric power systems in a single time frame and simulation environment. The model is composed of a transient hydraulic simulation model for the gas system and an augmented AC-Optimal Power Flow model for the electric power system, which includes a model for dispatchable power system loads and considers time transitional constraints, such as the ramp rate and the start-up time of generation units. Both models take into account the control and constraints of the most relevant facilities present in both systems. The bidirectional interconnection between both systems is considered and established by coupling equations describing the fuel gas offtake for power generation in gas fired power plants, and the electric power supply to LNG terminals and electric driven compressors in gas compressor stations. The resulting system of equations for the combined model are solved in a single simulation time frame. In order to quantify the impact of different contingencies on the operation of the combined system, a number of Security of supply parameters are proposed, which can be utilised to compare the impact of different contingencies on Security of supply and the effectiveness of countermeasures to mitigate this impact. The capabilities of the combined model and the functionality of the simulation tool SAInt are demonstrated in a case study of a sample gas and power transmission system. Results indicate how the combined simulation of gas and electric power systems can give insight into important and critical information, such as the timing and propagation of contingencies cascading from one system to the other or the grace period to react to these contingencies. Such information can contribute to improving the coordination between gas and power transmission system operators in the event of a disruption, thus, increasing the resilience and the level of Security of supply in the combined energy system. The information provided by the combined model cannot be obtained by the traditional co-simulation approach, where both systems are solved in different time frames. Furthermore, the studies stress the importance of using transient gas simulation models for Security of supply analysis instead of steady state models, where the time evolution of gas pressure and linepack are not reflected appropriately.
-
SAInt – A novel quasi-dynamic model for Assessing Security of supply in coupled gas and electricity transmission networks
Applied Energy, 2017Co-Authors: Kwabena Addo Pambour, Burcin Cakir Erdener, Ricardo Bolado-lavin, Gerhard P J DijkemaAbstract:The integration of renewable energy sources into existing electric power systems is connected with an increased interdependence between natural gas and electricity transmission networks. To analyse this interdependence and its impact on Security of supply, we developed a novel quasi-dynamic simulation model and implemented it into the simulation tool SAInt (Scenario Analysis Interface for Energy Systems), the first published software application that allows the combined simulation of gas and electric power systems in a single time frame and simulation environment. The model is composed of a transient hydraulic simulation model for the gas system and an augmented AC-Optimal Power Flow model for the electric power system, which includes a model for dispatchable power system loads and considers time transitional constraints, such as the ramp rate and the start-up time of generation units. Both models take into account the control and constraints of the most relevant facilities present in both systems. The bidirectional interconnection between both systems is considered and established by coupling equations describing the fuel gas offtake for power generation in gas fired power plants, and the electric power supply to LNG terminals and electric driven compressors in gas compressor stations. The resulting system of equations for the combined model are solved in a single simulation time frame. In order to quantify the impact of different contingencies on the operation of the combined system, a number of Security of supply parameters are proposed, which can be utilised to compare the impact of different contingencies on Security of supply and the effectiveness of countermeasures to mitigate this impact. The capabilities of the combined model and the functionality of the simulation tool SAInt are demonstrated in a case study of a sample gas and power transmission system. Results indicate how the combined simulation of gas and electric power systems can give insight into important and critical information, such as the timing and propagation of contingencies cascading from one system to the other or the grace period to react to these contingencies. Such information can contribute to improving the coordination between gas and power transmission system operators in the event of a disruption, thus, increasing the resilience and the level of Security of supply in the combined energy system. The information provided by the combined model cannot be obtained by the traditional co-simulation approach, where both systems are solved in different time frames. Furthermore, the studies stress the importance of using transient gas simulation models for Security of supply analysis instead of steady state models, where the time evolution of gas pressure and linepack are not reflected appropriately.
Jun Han - One of the best experts on this subject based on the ideXlab platform.
-
ASWEC - Assessing Security properties of software components: a software engineer's perspective
Australian Software Engineering Conference (ASWEC'06), 2006Co-Authors: Khaled M. Khan, Jun HanAbstract:The paper proposes an assessment scheme for the Security properties of software components. The proposed scheme consists of three stages: (i) a system-specific Security requirement specification of the enclosing application; (ii) a component-specific Security rating; and (iii) an evaluation method for the scored Security properties of the candidate component. The assessment scheme ultimately provides a numeric score indicating a relative strength of the Security properties of the candidate component. The scheme is partially based on ISO/IEC 15408, the Common Criteria for Information Technology Security Evaluation (CC) and the Multi-Element Component Comparison and Analysis (MECCA) model. The scheme is flexible enough for software engineers to use in order to get a first-hand preliminary assessment of the Security posture of candidate components.
Duncan Ki-aries - One of the best experts on this subject based on the ideXlab platform.
-
RE - Assessing Security Risk and Requirements for Systems of Systems
2018 IEEE 26th International Requirements Engineering Conference (RE), 2018Co-Authors: Duncan Ki-ariesAbstract:A System of Systems (SoS) is a term used to describe independent systems converging for a purpose that could only be carried out through this interdependent collaboration. Many examples of SoSs exist, but the term has become a source of confusion across domains. Moreover, there are few illustrative SoS examples demonstrating their initial classification and structure. While there are many approaches for engineering of systems, less exist for SoS engineering. More specifically, there is a research gap towards approaches addressing SoS Security risk assessment for engineering and operational needs, with a need for tool-support to assist modelling and visualising Security risk and requirements in an interconnected SoS. From this, Security requirements can provide a systematic means to identify constraints and related risks of the SoS, mitigated by human-user and system requirements. This work investigates specific challenges and current approaches for SoS Security and risk, and aims to identify the alignment of SoS factors and concepts suitable for eliciting, analysing, validating risks with use of a tool-support for Assessing Security risk in the SoS context.
Kwabena Addo Pambour - One of the best experts on this subject based on the ideXlab platform.
-
saint a novel quasi dynamic model for Assessing Security of supply in coupled gas and electricity transmission networks
Applied Energy, 2017Co-Authors: Kwabena Addo Pambour, Burcin Cakir Erdener, Ricardo Boladolavin, Gerhard P J DijkemaAbstract:The integration of renewable energy sources into existing electric power systems is connected with an increased interdependence between natural gas and electricity transmission networks. To analyse this interdependence and its impact on Security of supply, we developed a novel quasi-dynamic simulation model and implemented it into the simulation tool SAInt (Scenario Analysis Interface for Energy Systems), the first published software application that allows the combined simulation of gas and electric power systems in a single time frame and simulation environment. The model is composed of a transient hydraulic simulation model for the gas system and an augmented AC-Optimal Power Flow model for the electric power system, which includes a model for dispatchable power system loads and considers time transitional constraints, such as the ramp rate and the start-up time of generation units. Both models take into account the control and constraints of the most relevant facilities present in both systems. The bidirectional interconnection between both systems is considered and established by coupling equations describing the fuel gas offtake for power generation in gas fired power plants, and the electric power supply to LNG terminals and electric driven compressors in gas compressor stations. The resulting system of equations for the combined model are solved in a single simulation time frame. In order to quantify the impact of different contingencies on the operation of the combined system, a number of Security of supply parameters are proposed, which can be utilised to compare the impact of different contingencies on Security of supply and the effectiveness of countermeasures to mitigate this impact. The capabilities of the combined model and the functionality of the simulation tool SAInt are demonstrated in a case study of a sample gas and power transmission system. Results indicate how the combined simulation of gas and electric power systems can give insight into important and critical information, such as the timing and propagation of contingencies cascading from one system to the other or the grace period to react to these contingencies. Such information can contribute to improving the coordination between gas and power transmission system operators in the event of a disruption, thus, increasing the resilience and the level of Security of supply in the combined energy system. The information provided by the combined model cannot be obtained by the traditional co-simulation approach, where both systems are solved in different time frames. Furthermore, the studies stress the importance of using transient gas simulation models for Security of supply analysis instead of steady state models, where the time evolution of gas pressure and linepack are not reflected appropriately.
-
SAInt – A novel quasi-dynamic model for Assessing Security of supply in coupled gas and electricity transmission networks
Applied Energy, 2017Co-Authors: Kwabena Addo Pambour, Burcin Cakir Erdener, Ricardo Bolado-lavin, Gerhard P J DijkemaAbstract:The integration of renewable energy sources into existing electric power systems is connected with an increased interdependence between natural gas and electricity transmission networks. To analyse this interdependence and its impact on Security of supply, we developed a novel quasi-dynamic simulation model and implemented it into the simulation tool SAInt (Scenario Analysis Interface for Energy Systems), the first published software application that allows the combined simulation of gas and electric power systems in a single time frame and simulation environment. The model is composed of a transient hydraulic simulation model for the gas system and an augmented AC-Optimal Power Flow model for the electric power system, which includes a model for dispatchable power system loads and considers time transitional constraints, such as the ramp rate and the start-up time of generation units. Both models take into account the control and constraints of the most relevant facilities present in both systems. The bidirectional interconnection between both systems is considered and established by coupling equations describing the fuel gas offtake for power generation in gas fired power plants, and the electric power supply to LNG terminals and electric driven compressors in gas compressor stations. The resulting system of equations for the combined model are solved in a single simulation time frame. In order to quantify the impact of different contingencies on the operation of the combined system, a number of Security of supply parameters are proposed, which can be utilised to compare the impact of different contingencies on Security of supply and the effectiveness of countermeasures to mitigate this impact. The capabilities of the combined model and the functionality of the simulation tool SAInt are demonstrated in a case study of a sample gas and power transmission system. Results indicate how the combined simulation of gas and electric power systems can give insight into important and critical information, such as the timing and propagation of contingencies cascading from one system to the other or the grace period to react to these contingencies. Such information can contribute to improving the coordination between gas and power transmission system operators in the event of a disruption, thus, increasing the resilience and the level of Security of supply in the combined energy system. The information provided by the combined model cannot be obtained by the traditional co-simulation approach, where both systems are solved in different time frames. Furthermore, the studies stress the importance of using transient gas simulation models for Security of supply analysis instead of steady state models, where the time evolution of gas pressure and linepack are not reflected appropriately.
