Titlebook: Critical Information Infrastructures Security; 13th International C Eric Luiijf,Inga Žutautaitė,Bernhard M. Hämmerli Conference proceedings

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https://doi.org/10.1007/978-3-662-36611-0al Infrastructures. Predicting the functionality of the latter after an event is relevant for the design of contingency plans, as availability of primary services empowers the action of first responders in the aftermath management. This work deploys a complex earthquake simulator (CIPCast-ES) which

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https://doi.org/10.1007/978-3-662-36611-0der to find various vulnerabilities in IoT devices. We harness the power of state machine to generate distinct states of a protocol. In addition, we also generate legitimate packets as levels and sub-levels to intelligently mutate the data fields in the packet. Our mutation technique lies in mutatio

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https://doi.org/10.1007/978-3-662-36611-0rotocols such as BACnet. Many smart building networks are now connected to the Internet, enabling attackers to exploit vulnerabilities in critical buildings. Network monitoring is crucial to detect such attacks and allow building operators to react accordingly. In this paper, we propose an intrusion

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https://doi.org/10.1007/978-3-662-36612-7S are increasing. However, developing or verifying security technology at actual operation sites is quite difficult due to constraints that must be in place for non-disruptive operation and high availability of the control system. In addition, there is also a limit in obtaining datasets for security

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https://doi.org/10.1007/978-3-662-36612-7ture protection. However, recent research shows that most Information Sharing and Analysis Centers do not perform optimally, even when properly regulated. Using a meso-level of analysis, we close an important research gap by presenting a theoretical framework that links institutional economics and s

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