The Experts below are selected from a list of 54711 Experts worldwide ranked by ideXlab platform
George Leventakis - One of the best experts on this subject based on the ideXlab platform.
-
A Risk Assessment Framework For Interconnected And Interdependent Surface Transport Networks
Organization technology and management in construction: An international journal, 2013Co-Authors: George Leventakis, Athanasios Sfetsos, Nikolaos Moustakidis, Nikitas NikitakosAbstract:The functioning and viability of modern societies is heavily depended upon the continuous and uninterruptible operation of critical infrastructures. Surface transportation systems are in the heart of the daily lives of millions of citizens globally. As such, they are open and freely accessible by design and in the past have been exploited for terrorism attacks. Like many critical infrastructures, different multimodal and heterogeneous transportation networks are interconnected as integral part of larger synergistic systems forming a “network of networks”. These underlying and often concealed interconnections between network assets enable adverse effects to manifest at assets that are initially unaffected by a security incident. The present paper introduces a holistic Risk Assessment Framework for heterogeneous, transportation networks that is applicable at a strategic level, where Risk is propagated between interconnected networks through an “Incident Propagation Matrix” taking into account the nature of the interconnection and the type of threat. The proposed methodology views and models the Risk analysis process from the perspective of the network operator and emergency responders and emphasizes the reduction of the impacts on business continuity. DOI 10.5592/otmcj.2013.2.6 Research paper
-
STAR-TRANS Modeling Language: Risk Modeling in the STAR-TRANS Risk Assessment Framework
International Journal of Information Systems for Crisis Response and Management, 2013Co-Authors: Dimitris Zisiadis, George Thanos, Spyros Kopsidas, George LeventakisAbstract:Transportation networks are open and accessible, by design, and thus vulnerable to malicious attacks. Transportation networks are integral parts of larger systems, where individual transportation networks form a network-of-networks within a defined geographical region. A security incident on an asset can propagate to new security incidents in interconnected assets of the same or different networks, resulting in cascading failures in the overall network-of-networks. The present work introduces the STAR-TRANS Modeling Language (STML) and provides a reference implementation case. STML is a feature-rich, domain specific, high-level modeling language, capable of expressing the concepts and processes of the Strategic Risk Assessment and Contingency Planning in Interconnected Transportation Networks (STAR- TRANS) Framework. STAR-TRANS is a comprehensive transportation security Risk Assessment Framework for assessing related Risks that provides cohered contingency management procedures for interconnected, interdependent and heterogeneous transport networks. STML has been used to produce the STAR-TRANS Impact Assessment Tool.
-
ISCRAM - STAR-TRANS Modeling Language (STML) Modeling Risk in the STAR-TRANS Risk Assessment Framework for Interconnected Transportation Systems
2012Co-Authors: Dimitris Zisiadis, George Thanos, Spyros Kopsidas, George Leventakis, Vassilis Grizis, Leandros TassiulasAbstract:The present paper introduces a high level modeling language, capable of expressing the concepts and processes of the Strategic Risk Assessment and Contingency Planning in Interconnected Transportation Networks (STARTRANS) Framework. STAR-TRANS is a comprehensive transportation security Risk Assessment Framework for assessing related Risks that provides cohered contingency management procedures for interconnected, interdependent and heterogeneous transport networks. STAR-TRANS modeling Language (STML) is a domain specific language combining language simplicity with a very clear syntax, providing all the necessary elements (assets, threats, incidents, consequences etc.) to model the STAR-TRANS Risk Assessment Framework.
Gregory A. Forbes - One of the best experts on this subject based on the ideXlab platform.
-
A Risk Assessment Framework for Seed Degeneration: Informing an Integrated Seed Health Strategy for Vegetatively Propagated Crops.
Phytopathology, 2017Co-Authors: Sara Thomas-sharma, Jorge Andrade-piedra, Monica Carvajal Yepes, John F. Hernandez Nopsa, Michael J. Jeger, Roger A. C. Jones, P. Kromann, James P. Legg, Jonathan Yuen, Gregory A. ForbesAbstract:Pathogen buildup in vegetative planting material, termed seed degeneration, is a major problem in many low-income countries. When smallholder farmers use seed produced on-farm or acquired outside certified programs, it is often infected. We introduce a Risk Assessment Framework for seed degeneration, evaluating the relative performance of individual and combined components of an integrated seed health strategy. The frequency distribution of management performance outcomes was evaluated for models incorporating biological and environmental heterogeneity, with the following results. (1) On-farm seed selection can perform as well as certified seed, if the rate of success in selecting healthy plants for seed production is high; (2) when choosing among within-season management strategies, external inoculum can determine the relative usefulness of ‘incidence-altering management’ (affecting the proportion of diseased plants/seeds) and ‘rate-altering management’ (affecting the rate of disease transmission in the ...
-
A Risk Assessment Framework for seed degeneration: Informing an integrated seed health strategy for vegetatively-propagated crops
bioRxiv, 2017Co-Authors: Sara Thomas-sharma, Jorge Andrade-piedra, Monica Carvajal Yepes, John F. Hernandez Nopsa, Michael J. Jeger, Roger A. C. Jones, P. Kromann, James P. Legg, Jonathan Yuen, Gregory A. ForbesAbstract:Pathogen build-up in vegetative planting material, termed seed degeneration, is a major problem in many low-income countries. When smallholder farmers use seed produced on-farm or acquired outside certified programs, it is often infected. We introduce a Risk Assessment Framework for seed degeneration, evaluating the relative performance of individual and combined components of an integrated seed health strategy. The frequency distribution of management performance outcomes was evaluated for models incorporating biological and environmental heterogeneity, with the following results. (1) On-farm seed selection can perform as well as certified seed, if the rate of success in selecting healthy plants for seed production is high; (2) When choosing among within-season management strategies, external inoculum can determine the relative usefulness of 9incidence-altering management9 (affecting the proportion of diseased plants/seeds) and rate-altering management (affecting the rate of disease transmission in the field); (3) Under severe disease scenarios, where it is difficult to implement management components at high levels of effectiveness, combining management components can produce synergistic benefits and keep seed degeneration below a threshold; (4) Combining management components can also close the yield gap between average and worst-case scenarios. We also illustrate the potential for expert elicitation to provide parameter estimates when data are unavailable.
Dimitris Zisiadis - One of the best experts on this subject based on the ideXlab platform.
-
STAR-TRANS Modeling Language: Risk Modeling in the STAR-TRANS Risk Assessment Framework
International Journal of Information Systems for Crisis Response and Management, 2013Co-Authors: Dimitris Zisiadis, George Thanos, Spyros Kopsidas, George LeventakisAbstract:Transportation networks are open and accessible, by design, and thus vulnerable to malicious attacks. Transportation networks are integral parts of larger systems, where individual transportation networks form a network-of-networks within a defined geographical region. A security incident on an asset can propagate to new security incidents in interconnected assets of the same or different networks, resulting in cascading failures in the overall network-of-networks. The present work introduces the STAR-TRANS Modeling Language (STML) and provides a reference implementation case. STML is a feature-rich, domain specific, high-level modeling language, capable of expressing the concepts and processes of the Strategic Risk Assessment and Contingency Planning in Interconnected Transportation Networks (STAR- TRANS) Framework. STAR-TRANS is a comprehensive transportation security Risk Assessment Framework for assessing related Risks that provides cohered contingency management procedures for interconnected, interdependent and heterogeneous transport networks. STML has been used to produce the STAR-TRANS Impact Assessment Tool.
-
ISCRAM - STAR-TRANS Modeling Language (STML) Modeling Risk in the STAR-TRANS Risk Assessment Framework for Interconnected Transportation Systems
2012Co-Authors: Dimitris Zisiadis, George Thanos, Spyros Kopsidas, George Leventakis, Vassilis Grizis, Leandros TassiulasAbstract:The present paper introduces a high level modeling language, capable of expressing the concepts and processes of the Strategic Risk Assessment and Contingency Planning in Interconnected Transportation Networks (STARTRANS) Framework. STAR-TRANS is a comprehensive transportation security Risk Assessment Framework for assessing related Risks that provides cohered contingency management procedures for interconnected, interdependent and heterogeneous transport networks. STAR-TRANS modeling Language (STML) is a domain specific language combining language simplicity with a very clear syntax, providing all the necessary elements (assets, threats, incidents, consequences etc.) to model the STAR-TRANS Risk Assessment Framework.
Myoung-ki Hong - One of the best experts on this subject based on the ideXlab platform.
-
Security Risk Assessment Framework for smart car using the attack tree analysis
Journal of Ambient Intelligence and Humanized Computing, 2017Co-Authors: Hee-kyung Kong, Myoung-ki Hong, Tae-sung KimAbstract:As the automobile industry has recently adopted information technologies, the latter are being used to replace mechanical systems with electronically-controlled systems. Moreover, automobiles are evolving into smart cars or connected cars as they are connected to various IT devices and networks such as VANET (Vehicular Ad hoc NETwork). Although there were no concerns about the hacking of automobiles in the past, various security threats are now emerging as electronic systems are gradually filling up the interiors of many automobiles, which are in turn being connected to external networks. As such, researchers have begun studying smart car security, leading to the disclosure of security threats through the testing or development of various automobile security technologies. However, the security threats facing smart cars do not occur frequently and, practically speaking, it is unrealistic to attempt to cope with every possible security threat when considering such factors as performance, compatibility, and so forth. Moreover, the excessive application of security technology will increase the overall vehicle cost and lower the effectiveness of investment. Therefore, smart car security Risks should be assessed and prioritized to establish efficient security measures. To that end, this study constructed a security Risk Assessment Framework in a bid to establish efficient measures for smart car security. The proposed security Risk Assessment Framework configured the Assessment procedure based on the conventional security Risk analysis model GMITS (ISO13335) and utilized ‘attack tree analysis’ to assess the threats and vulnerabilities. The security Risk Assessment Framework used the results of an asset analysis, threat/vulnerability analysis, and Risk analysis to finally assess the Risk and identify the Risk rating. Moreover, it actually applied the proposed Framework to assess security Risks concerning targeted increases in vehicle velocity and leakages of personal information, which are the leading threats faced by smart cars. Here, the Framework was applied to vehicle velocity increase and personal information leakage, which are the leading threats.
-
IMIS - A Security Risk Assessment Framework for Smart Car
2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2016Co-Authors: Hee-kyung Kong, Tae-sung Kim, Myoung-ki HongAbstract:As the automobile industry has recently adopted information technologies, the latter are being used to replace mechanical systems with electronically-controlled systems. Moreover, automobiles are evolving into smart cars or connected cars as they are connected to various IT devices and networks such as VANET (Vehicular Ad hoc NETwork). Although there were no concerns about the hacking of automobiles in the past, various security threats are now emerging as electronic systems are gradually filling up the interiors of many automobiles, which are in turn being connected to external networks. As such, researchers have begun studying smart car security, leading to the disclosure of security threats through the testing or development of various automobile security technologies. However, the security threats facing smart cars do not occur frequently and, practically speaking, it is unrealistic to attempt to cope with every possible security threat when considering such factors as performance, compatibility, and so forth. Moreover, the excessive application of security technology will increase the overall vehicle cost and lower the effectiveness of investment. Therefore, smart car security Risks should be assessed and prioritized to establish efficient security measures. To that end, this study constructed a security Risk Assessment Framework in a bid to establish efficient measures for smart car security. The proposed security Risk Assessment Framework configured the Assessment procedure based on the conventional security Risk analysis model GMITS (ISO13335) and utilized 'attack tree analysis' to assess the threats and vulnerabilities.
Sara Thomas-sharma - One of the best experts on this subject based on the ideXlab platform.
-
A Risk Assessment Framework for Seed Degeneration: Informing an Integrated Seed Health Strategy for Vegetatively Propagated Crops.
Phytopathology, 2017Co-Authors: Sara Thomas-sharma, Jorge Andrade-piedra, Monica Carvajal Yepes, John F. Hernandez Nopsa, Michael J. Jeger, Roger A. C. Jones, P. Kromann, James P. Legg, Jonathan Yuen, Gregory A. ForbesAbstract:Pathogen buildup in vegetative planting material, termed seed degeneration, is a major problem in many low-income countries. When smallholder farmers use seed produced on-farm or acquired outside certified programs, it is often infected. We introduce a Risk Assessment Framework for seed degeneration, evaluating the relative performance of individual and combined components of an integrated seed health strategy. The frequency distribution of management performance outcomes was evaluated for models incorporating biological and environmental heterogeneity, with the following results. (1) On-farm seed selection can perform as well as certified seed, if the rate of success in selecting healthy plants for seed production is high; (2) when choosing among within-season management strategies, external inoculum can determine the relative usefulness of ‘incidence-altering management’ (affecting the proportion of diseased plants/seeds) and ‘rate-altering management’ (affecting the rate of disease transmission in the ...
-
A Risk Assessment Framework for seed degeneration: Informing an integrated seed health strategy for vegetatively-propagated crops
bioRxiv, 2017Co-Authors: Sara Thomas-sharma, Jorge Andrade-piedra, Monica Carvajal Yepes, John F. Hernandez Nopsa, Michael J. Jeger, Roger A. C. Jones, P. Kromann, James P. Legg, Jonathan Yuen, Gregory A. ForbesAbstract:Pathogen build-up in vegetative planting material, termed seed degeneration, is a major problem in many low-income countries. When smallholder farmers use seed produced on-farm or acquired outside certified programs, it is often infected. We introduce a Risk Assessment Framework for seed degeneration, evaluating the relative performance of individual and combined components of an integrated seed health strategy. The frequency distribution of management performance outcomes was evaluated for models incorporating biological and environmental heterogeneity, with the following results. (1) On-farm seed selection can perform as well as certified seed, if the rate of success in selecting healthy plants for seed production is high; (2) When choosing among within-season management strategies, external inoculum can determine the relative usefulness of 9incidence-altering management9 (affecting the proportion of diseased plants/seeds) and rate-altering management (affecting the rate of disease transmission in the field); (3) Under severe disease scenarios, where it is difficult to implement management components at high levels of effectiveness, combining management components can produce synergistic benefits and keep seed degeneration below a threshold; (4) Combining management components can also close the yield gap between average and worst-case scenarios. We also illustrate the potential for expert elicitation to provide parameter estimates when data are unavailable.
