A4 Article in conference proceedings
Emergency Response Model as a part of the Smart Society (2021)


Simola, J., Lehto, M., & Rajamäki, J. (2021). Emergency Response Model as a part of the Smart Society. In T. Eze, L. Speakman, & C. Onwubiko (Eds.), ECCWS 2021 : Proceeding of the 20th European Conference on Cyber Warfare and Security (pp. 382-391). Academic Conferences International. Proceedings of the European Conference on Cyber Warfare and Security.


JYU authors or editors


Publication details

All authors or editorsSimola, Jussi; Lehto, Martti; Rajamäki, Jyri

Parent publicationECCWS 2021 : Proceeding of the 20th European Conference on Cyber Warfare and Security

Parent publication editorsEze, Thaddeus; Speakman, Lee; Onwubiko, Cyril

Conference:

  • European Conference on Cyber Warfare and Security

Place and date of conferenceVirtual conference, Chester, UK 24.-25.6.2021

ISBN978-1-912764-99-0

eISBN978-1-912764-43-3

Journal or seriesProceedings of the European Conference on Cyber Warfare and Security

ISSN2048-8602

eISSN2048-8610

Publication year2021

Publication date24/06/2021

Pages range382-391

Number of pages in the book646

PublisherAcademic Conferences International

Publication countryUnited Kingdom

Publication languageEnglish

Publication open accessNot open

Publication channel open access

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/83378

Publication is parallel publishedhttps://urn.fi/URN:NBN:fi-fe2021082343867


Abstract

Centralized hybrid emergency model with predictive emergency response functions are necessary when the purpose is to protect the critical infrastructure (CI). A shared common operational picture among Public Protection and Disaster Relief (PPDR) authorities means that a real-time communication link from the local level to the state-level exists. If a cyberattack would interrupt electricity transmission, telecommunication networks will discontinue operating. Cyberattack becomes physical in the urban and maritime area if an intrusion has not been detected. Hybrid threats require hybrid responses. The purpose of this qualitative research was to find out technological-related fundamental risks and challenges which are outside the official risk classification. The primary outcomes can be summarized so that there are crucial human based factors that affect the whole cyber-ecosystem. Cybersecurity maturity, operational preparedness, and decision making reliability are not separate parts of continuity management. If fundamental risk factors are not recognized, technical early warning solutions become useless. Therefore, decision-makers need reliable information for decision-making that does not expose them to hazards. One of the primary aims of hybrid influence is to change political decision-making. Practically, this means a need to rationalize organizational, administrative, and operative functions in public safety organizations. Trusted information sharing among decision-makers, intelligence authorities, and data protection authorities must be ensured by using Artificial Intelligence (AI) systems. In advanced design, protection of critical infrastructure would be ensured automatically as part of the cyber platform's functionalities where human-made decisions are also analyzed. Confidential information sharing to third parties becomes complicated when the weaknesses of crucial decision-making procedures have recognized. Citizens' confidence in the intelligent system activities may strengthen because of the decision making process's reliability. Existing emergency response services are dependent on human ability.


Keywordsinfrastructuresinformation networkscyber attackscyber securityartificial intelligencepreparedness (organisations)emergency planningsecurity servicespublic authorities

Free keywordscritical infrastructure protection; cyber ecosystem; emergency response; public protection and disaster relief; artificial intelligence


Contributing organizations


Ministry reportingYes

Reporting Year2022

JUFO rating1


Last updated on 2024-03-04 at 21:46