A4 Article in conference proceedings
Hybrid Threats against Industry 4.0 : Adversarial Training of Resilience (2022)


Kaikova, O., Terziyan, V., Tiihonen, T., Golovianko, M., Gryshko, S., & Titova, L. (2022). Hybrid Threats against Industry 4.0 : Adversarial Training of Resilience. In R. Absi, & I. El Abbassi (Eds.), EVF’2021 : 8th International Conference on Energy and City of the Future (Article 03004). EDP Sciences. E3S Web of Conferences, 353. https://doi.org/10.1051/e3sconf/202235303004


JYU authors or editors


Publication details

All authors or editors: Kaikova, Olena; Terziyan, Vagan; Tiihonen, Timo; Golovianko, Mariia; Gryshko, Svitlana; Titova, Liudmyla

Parent publication: EVF’2021 : 8th International Conference on Energy and City of the Future

Parent publication editors: Absi, R.; El Abbassi, I.

Conference:

  • International Conference on Energy and City of the Future

Place and date of conference: Cergy-Pontoise, France, 26.11.2021

Journal or series: E3S Web of Conferences

ISSN: 2555-0403

eISSN: 2267-1242

Publication year: 2022

Publication date: 29/06/2022

Number in series: 353

Article number: 03004

Publisher: EDP Sciences

Publication country: France

Publication language: English

DOI: https://doi.org/10.1051/e3sconf/202235303004

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/82376


Abstract

Industry 4.0 and Smart Manufacturing are associated with the Cyber-Physical-Social Systems populated and controlled by the Collective Intelligence (human and artificial). They are an important component of Critical Infrastructure and they are essential for the functioning of a society and economy. Hybrid Threats nowadays target critical infrastructure and particularly vulnerabilities associated with both human and artificial intelligence. This article summarizes some latest studies of WARN: “Academic Response to Hybrid Threats” (the Erasmus+ project), which aim for the resilience (regarding hybrid threats) of various Industry 4.0 architectures and, especially, of the human and artificial decision-making within Industry 4.0 processes. This study discovered certain analogy between (cognitive) resilience of human and artificial intelligence against cognitive hacks (special adversarial hybrid activity) and suggested the approaches to train the resilience with the special adversarial training techniques. The study also provides the recommendations for higher education institutions on adding such training and related courses to their various programs. The specifics of related courses would be as follows: their learning objectives and related intended learning outcomes are not an update of personal knowledge, skills, beliefs or values (traditional outcomes) but the robustness and resilience of the already available ones.
See presentation slides: https://ai.it.jyu.fi/EVF-2021.pptx


Keywords: cyber security; industry; infrastructures; intelligent systems; artificial intelligence


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 1


Last updated on 2024-22-04 at 13:45