Development of Security Technologies by NATO: Current Status and Development Prospects

• Authors: Radosław Bielawski

Abstracts

EN

The aim of this paper is to determine the current development status of individual NATO development areas as well as to indicate further research directions. Six research areas in which NATO develops its technologies that influence the high militarization level of the alliance were shown. These include Big Data, Artificial Intelligence, autonomy, quantum technology, space technology and hypersonic capabilities of the alliance, as well as Biotechnology and Human Enhancement. The development of Big Data will significantly increase the alliance’s threat detection, reconnaissance, and identification capabilities and allow for the diagnosis of anomalies and internal threats. Artificial Intelligence can be used for effective military operations (aircraft air combat) and also in intelligence analysis for data collection, processing and search. Autonomy in allied operations will allow the use of unmanned aerial systems and their operations in urbanized terrain and increase situational awareness through continuous monitoring of the combat environment. Quantum technology will allow for increased allied capabilities in the areas of communications, information technology, precision navigation and time delivery systems, and sensing. Space technologies and the acquisition of hypersonic technologies will contribute to reconnaissance and intelligence capabilities, and hypersonic missiles will further provide strategic warfare assets. The research results on biotechnology and Human Enhancement by NATO will provide knowledge for enhancing the psychophysical capabilities of soldiers.

Keywords

EN

directions of development; NATO; order safety; technologies

PL

kierunki rozwoju; NATO; bezpieczeństwo porządku; technologie

• Publisher: Centrum Rzeczoznawstwa Budowlanego Sp. z o.o.
• Journal: Safety & Defense
• Year: 2022
• Volume: 1

Dates

published

2022

Contributors

author

Radosław Bielawski

• Military University of Technology, gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland

References

• 1. Barrat, J. (2015). Our Final Invention. Artificial Intelligence and the End of the Human Era. St. Martin’s Publishing Group.
• 2. Bąska, M., Dudycz, H., & Pondel, M. (2019). Identification of advanced data analysis in marketing: A systematic literature review. Journal of Economics and Management, 35, 18–39. https://doi.org/10.22367/jem.2019.35.02
• 3. Batkuldinova, K., Abilgaziyev, A., Shehab, E., & Hazrat Ali, M. (2021). The recent development of 3D printing in developing lower-leg exoskeleton: A review. Materials Today: Proceedings, 42, 1822–1828. https://doi.org/10.1016/j.matpr.2020.12.191
• 4. Bielawski, R. (2020). Bezpieczeństwo bezzałogowych systemów powietrznych w środowisku zakłóceń. De Securitate et Defensione. O Bezpieczeństwie i Obronności, 5(2), 193–212. https://doi.org/10.34739/dsd.2019.02.12
• 5. Bielawski, R., & Radomska, A. (2020). NASA Space Laser Communications System. Safety & Defense, 6(2), 51–62. https://doi.org/10.37105/sd.85
• 6. Czajkowski, M. (2021). Anti-Satellite Weapons. Safety & Defense, 7(1), 107–116. https://doi.org/10.37105/sd.129
• 7. Emmanuel-Aviña, G. (2018). Monitoring Physiological, Cognitive, and Biological Markers: Determining Origin of Change. Journal of the Homeland Defense & Security Information Analysis Center, 5(2).
• 8. Filling the Vacuum. A Framework for a NATO Space Policy. (2012). Joint Air Power Competence Center.
• 9. Garrity, J., & Husar, A. (2021). Digital Connectivity and Low Earth Orbit Satellite: Constellations Opportunities for Asia and the Pacific. https://doi.org/10.22617/WPS210156-2
• 10. Geiss, K. (2016). Human Systems Roadmap Review.
• 11. Kaisler, S., Armour, F., Espinosa, J. A., & Money, W. (2013). Big Data: Issues and Challenges Moving Forward. 2013 46th Hawaii International Conference on System Sciences, 995–1004. https://doi.org/10.1109/HICSS.2013.645
• 12. Kapil, G., Agrawal, A., & Khan, R. A. (2016). A study of big data characteristics. 2016 International Conference on Communication and Electronics Systems (ICCES), 1–4. https://doi.org/10.1109/CESYS.2016.7889917
• 13. Katz, S. (2021). DARPA announces progress in Air Combat Evolution program. https://techxplore.com/news/2021-03-darpa-air-combat-evolution.html
• 14. Kołodziejczak, M. E. (2020). The Emergency States Guarantee the Functioning of the Country during the COVID-19 Pandemic: The Case of Poland and the Republic of China (Taiwan). European Research Studies Journal, XXIII (Special Issue 3), 239–252. https://doi.org/10.35808/ersj/1880
• 15. Kulik, T. (2020). The Selected Aspects of Contemporary Air Threats. Safety & Defense, 6(1), 11–21. https://doi.org/10.37105/sd.47
• 16. Kwon, J. H., & Jekeli, C. (2005). Gravity Requirements for Compensation of Ultra-Precise Inertial Navigation. Journal of Navigation, 58(3), 479–492. https://doi.org/10.1017/S0373463305003395
• 17. Mishra, D. K., Yang, X. S., & Unal, A. (Eds.). (2019). Data Science and Big Data Analytics (Vol. 16). Springer Singapore. https://doi.org/10.1007/978-981-10-7641-1
• 18. NASA. (2015). What are SmallSats and CubeSats? https://www.nasa.gov/content/what-are-smallsats-and-cubesats
• 19. NATO Science & Technology Organization. (2020). Science & Technology Trends 2020-2040. Exploring the S&T Edge.
• 20. Oguntimilehin, A. & Ademola, O. (2014). A Review of Big Data Management, Benefits and Challenges.
• 21. Oracle. (n.d.). The Top Use Cases for Big Data Analytics. https://www.oracle.com/emea/cloud/solutions/the-top-use-cases-for-big-data-analytics
• 22. Ryan, D. (2018). Early warning of disease exposure could improve public health responses. Communications & Community Outreach Office. https://www.ll.mit.edu/news/early-warning-disease-exposure-could-improve-public-health-responses
• 23. Semeraro, C., Lezoche, M., Panetto, H. & Dassisti, M. (2021). Digital twin paradigm: A systematic literature review. Computers in Industry, 130, 103469. https://doi.org/10.1016/j.compind.2021.103469
• 24. Seshadri, D. R., Li, R. T., Voos, J. E., Rowbottom, J. R., Alfes, C. M., Zorman, C. A.,& Drummond, C. K. (2019). Wearable sensors for monitoring the physiological and biochemical profile of the athlete. Npj Digital Medicine, 2(1), 72. https://doi.org/10.1038/s41746-019-0150-9
• 25. Shor, P. W. (1995). Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer. https://doi.org/10.1137/S0097539795293172
• 26. Simonite, T. (n.d.). AI Could Revolutionize War as Much as Nukes. https://www.wired.com/story/ai-could-revolutionize-war-as-much-as-nukes/
• 27. Skoczylas, J., Samborski, S., & Kłonica, M. (2021). A multilateral study on the FRP Composite’s matrix strength and damage growth resistance. Composite Structures, 263, 113752. https://doi.org/10.1016/j.compstruct.2021.113752
• 28. Toffler, A. (1990). The third wave. Bantam Books.
• 29. Vigneshvar, S., Sudhakumari, C. C., Senthilkumaran, B., & Prakash, H. (2016). Recent Advances in Biosensor Technology for Potential Applications – An Overview. Frontiers in Bioengineering and Biotechnology, 4. https://doi.org/10.3389/fbioe.2016.00011
• 30. Wu, R. S. S., & Lau, T. C. (2013). Artificial Mussels. In Encyclopedia of Aquatic Ecotoxicology (pp. 109–114). Springer Netherlands. https://doi.org/10.1007/978-94-007-5704-2_11

Identifiers

DOI

10.37105/sd.170

Biblioteka Nauki

2174788