Effects and Factors of the Hybrid Emergency Response Model in Public Protection and Disaster Relief
Julkaistu sarjassa
JYU dissertationsTekijät
Päivämäärä
2022Tekijänoikeudet
© The Author & University of Jyväskylä
In the future centralized hybrid emergency response model with predictive emergency response functions are necessary when the purpose is to protect the critical infrastructure (CI). Functioning Situational Awareness requires a common operational picture within Public Protection and Disaster Relief (PPDR) authorities and decision-makers. It means that a real-time information sharing link from a local level to a state-level exists. If a cyberattack interrupts electricity transmission, telecommunication networks will discontinue operating. If intrusion has not been detected, cyberattack becomes physical in urban and maritime areas. Hybrid warfare requires hybrid responses. The goal of this qualitative research was to find out the effects and factors of the Hybrid Emergency Response Model in Public Protection and Disaster Relief.
It has been assessed and defined those effects and factors that impact the development and designing process. The doctoral dissertation focuses on creating an example of a new kind of emergency response model that comprises separated public safety-related functionalities from the operational work to decision-making procedures. The proposed set of requirements and features offer needed elements that form the framework for the Early Warning Solution, which can be joined to the European Early Warning Solution.
The main results can be summarized so that fundamental human-based factors affect the whole cyber-ecosystem. Hybrid influencing can make society unstable in many ways. One of the main key aims is to influence political decision-making. The flow of reliable information among decision-makers must be ensured by using standardized Artificial Intelligence (AI) systems. The proposed system will use artificial intelligence to enhance situational awareness. Firstly, it works in smart society and uses automated or semi-automated systems. On the other hand, it supports decision-makers in their daily routine by producing relevant proposals for the decisions.
Keywords: Situational awareness, Artificial Intelligence, Information Sharing, Decision-making, Early Warning Solution, Public Protection and Disaster Relief
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Julkaisija
Jyväskylän yliopistoISBN
978-951-39-9397-9ISSN Hae Julkaisufoorumista
2489-9003Julkaisuun sisältyy osajulkaisuja
- Artikkeli I: Simola, J. & Rajamäki, J. (2017). Hybrid Emergency Response Model: Improving Cyber Situational Awareness.. In Mark Scanlon & Nhien-An Le-Khac (eds.) Proceedings of the 16th European Conference on Cyber Warfare and Security ECCWS 2017, 29 - 30 June 2017, Dublin, Ireland.
- Artikkeli II: Simola, J. & Rajamäki, J. (2018). Improving cyber situational awareness maritime surveillance. In Audun Jøsang (eds.) Proceedings of the 17th European Conference on Cyber Warfare and Security ECCWS 2018, 29 - 30 June 2018, Oslo, Norway.
- Artikkeli III: Simola, J., & Lehto, M. (2019). Effects of cyber domain in crisis management. In T. Cruz, & P. Simoes (Eds.), ECCWS 2019 : Proceedings of the 18th European Conference on Cyber Warfare and Security (pp. 710-719). Academic Conferences International. Proceedings of the European conference on information warfare and security. JYX: jyx.jyu.fi/handle/123456789/67101
- Artikkeli IV: Simola, J. (2020). Privacy issues and critical infrastructure protection. In V. Benson, & J. Mcalaney (Eds.), Emerging Cyber Threats and Cognitive Vulnerabilities (pp. 197-226). Academic Press. DOI: 10.1016/B978-0-12-816203-3.00010-1
- Artikkeli V: Simola, J., Lehto, M. & Rajamäki J. (2021). Emergency response model as a part of smart society. In ECCWS 20th European Conference on Cyber Warfare and Security, Chester, UK.
- Artikkeli VI: Simola, J. (2021). The Literature Review of Scientific Literature about Information Sharing Models. Journal of Information Warfare, 20(3). Full text
- Artikkeli VII: Simola, J. (2021). Comparing Cybersecurity Information Exchange Models and Standards for the Common Secure Information Management Framework. In T. Tagarev, K. T. Atanassov, V. Kharchenko, & J. Kacprzyk (Eds.), Digital Transformation, Cyber Security and Resilience of Modern Societies (pp. 137-159). Springer. Studies in Big Data, 84. DOI: 10.1007/978-3-030-65722-2_9. JYX: jyx.jyu.fi/handle/123456789/78429
- Artikkeli VIII: Simola, J. (2021). Enhancing the European Cyber Threat Prevention Mechanism. Journal of Information Warfare, 20(1). Full text
- Artikkeli IX: Simola, J. (2022). Saving Lives in a Health Crisis Through the National Cyber Threat Prevention Mechanism Case COVID-19. In M. Lehto, & P. Neittaanmäki (Eds.), Cyber Security : Critical Infrastructure Protection (pp. 293-313). Springer. Computational Methods in Applied Sciences, 56. DOI: 10.1007/978-3-030-91293-2_12
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