Cybersecurity in the face of information warfare and cyberattacks

Olena Kravchenko; Vladyslav Veklych; Mykhailo Krykhivskyi; Tetiana Madryha

doi:10.31893/multiscience.2024ss0219

Keywords:

countering cyber criminals

cyber security

information security

information war

monitoring of cyber threats

protection of information systems

Abstract

Cybersecurity in the face of information warfare and cyberattacks in the modern world is one of the most critical issues of our time. Driven by the rapid development of technologies and digital transformation, threats to information security are becoming even more severe. Nowadays, almost every aspect of our lives, from personal data to critical infrastructure systems, is affected by cyberattacks. Information warfare has become a complex struggle where digital battles are integral to modern conflict. Countries, corporations, and even criminals fight for control over data and influence over critical systems. All this creates a situation where a defense against cyber threats is a top priority. The article aims to provide a detailed analysis and understanding of cyber threats' dynamics in the context of information warfare. It also highlights effective strategies and measures to ensure cybersecurity in such a challenging environment. The research methodology is based on comparing and analyzing information on real cyberattacks, studying the vulnerabilities of information systems, and developing strategies and technologies to counter cyber threats. The study employs both quantitative and qualitative methods, including statistical analysis and case studies. The results of the study revealed the main features of information warfare and their impact on cybersecurity globally and within specific organizations and states. Conflicting parties can use digital means to attack opponents, destroy their critical infrastructure, obtain secret information, or disrupt their operations. Information operations may use phishing and social engineering tactics to access essential resources or information. The organizations and states that find themselves at the epicenter of information warfare must carefully ensure the cybersecurity of their information resources.
References
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to cite

Kravchenko, O., Veklych, V., Krykhivskyi, M., & Madryha, T. (2024). Cybersecurity in the face of information warfare and cyberattacks. Multidisciplinary Science Journal, 6, 2024ss0219. https://doi.org/10.31893/multiscience.2024ss0219

[1] Aghajani, G., & Ghadimi, N. (2018). Multi-objective energy management in a micro-grid. Energy Reports, 4, 218-225.

[2] Akhavan-Hejazi, H., & Mohsenian-Rad, H. (2018). Power systems big data analytics: An assessment of paradigm shift barriers and prospects. Energy Reports, 4, 91-100.

[3] Al-Ghamdi, M. I. (2021). Effects of knowledge of cyber security on prevention of attacks. Materials Today: Proceedings.

[4] Alkatheiri, M. S., Chaudhary, S. H., & Alqarni, M. A. (2021). Seamless security apprise method for improving the reliability of sustainable energy-based smart home applications. Sustainable Energy & Technology Assessment, 45.

[5] Amir, M., & Givargis, T. (2020). Pareto optimal design space exploration of cyber-physical systems. Internet of Things.

[6] Borodina, O., Kryshtal, H., Hakova, M., Neboha, T., Olczak, P., & Koval, V. (2022). A conceptual analytical model for the decentralized energy-efficiency management of the national economy. Polityka Energetyczna, 25(1), 5-22. https://doi.org/10.33223/epj/147017

[7] Bullock, J. A., Haddow, G. D., & Coppola, D. P. (2021). Cybersecurity and critical infrastructure protection. In Introduction to Homeland Security (6th ed., Chapter 8, pp. 425-497). Butterworth-Heinemann.

[8] Bystrova, B. (2019). Levels of quality assurance of cybersecurity specialists training in US higher education institutions. Pedagogical sciences: theory, history, innovative technologies, 2(86), 140-149.

[9] Cao, Y., et al. (2019). A topology-aware access control model for collaborative cyber–physical spaces: Specification and verification. Computers & Security, 87.

[10] Danyk, Yu. H., Vdovenko, S. H. (2017). Conceptual directions of a comprehensive solution to an information security problem in the system of the armed forces covert control. Modern Information Technologies in the Sphere of Security and Defence, 2(29), 98-107.

[11] Dash, N., Chakravarty, S., & Satpathy, S. (2021). An improved harmony search-based extreme learning machine for intrusion detection system. Materials Today: Proceedings.

[12] Furnell, S., & Shah, J. N. (2020). Home working and cyber security – an outbreak of unpreparedness? Computer Fraud & Security, 2020(8), 6-12.

[13] Ji, Z., et al. (2021). Harmonizing safety and security risk analysis and prevention in cyber–physical systems. Process Safety and Environmental Protection, 148.

[14] Karbasi, A., & Farhadi, A. (2021). A cyber-physical system for building automation and control based on a distributed MPC with an efficient method for communication. European Journal of Control.

[15] Kovalko, O., Eutukhova, T., & Novoseltsev, O. (2022). Energy-related services as a business: Eco-transformation logic to support the low-carbon transition. Energy Engineering: Journal of the Association of Energy Engineering, 119(1), 103-121. https://doi.org/10.32604/EE.2022.017709

[16] Kryshtanovych, M., Akimova, L., Akimov, O., Kubiniy, N., & Marhitich, V. (2021). Modeling the process of forming the safety potential of engineering enterprises. International Journal of Safety and Security Engineering, 11(3), 223-230. https://doi.org/10.18280/ijsse.110302

[17] Kuzmenko, B.V., Zaika, Yu.O. (2012). Cyberterrorism: Global and Ukrainian Realities. Scientific Journal of the National Academy of Internal Affairs, 2(81), 92-98.

[18] Levytska, S., Pershko, L., Akimova, L., Akimov, O., Havrilenko, K., & Kucherovskii, O. (2022). A risk-oriented approach in the system of internal auditing of the subjects of financial monitoring. International Journal of Applied Economics, Finance and Accounting, 14(2), 194-206. https://doi.org/10.33094/ijaefa.v14i2.715

[19] Melnyk, D. S., Parfylo, O. A., Butenko, O. V., Tykhonova, O. V., & Zarosylo, V. O. (2022). Practice of the member states of the european union in the field of anti-corruption regulation. Journal of Financial Crime, 29(3), 853-863. https://doi.org/10.1108/JFC-03-2021-0050

[20] Motsch, W., et al. (2020). Approach for dynamic price-based demand side management in cyber-physical production systems. Procedia Manufacturing, 51.

[21] Nguyen, D. C. L., & Golman, D. W. (2021). Diffusion of the Budapest Convention on cybercrime and the development of cybercrime legislation in Pacific Island countries: 'Law on the books' vs. 'law in action.' Computer Law & Security Review, 40.

[22] Nikonenko, U., Shtets, T., Kalinin, A., Dorosh, I., & Sokolik, L. (2022). Assessing the policy of attracting investments in the main sectors of the economy in the context of introducing aspects of industry 4.0. International Journal of Sustainable Development and Planning, 17(2), 497-505. https://doi.org/10.18280/ijsdp.170214

[23] Ogbanufe, O. (2021). Enhancing end-user roles in information security: Exploring the setting, situation, and identity. Computers & Security, 108.

[24] Qiu, W., et al. (2021). Time-frequency-based cyber security defense of wide-area control system for fast frequency reserve. International Journal of Electrical Power & Energy Systems, 132.

[25] Salam, S., et al. (2021). A survey of cyber security management in industrial control systems. Computers & Security, 102.

[26] Srinivasan, S., & Srivastava, S. (2021). Cyber-security risk management: Indian automobile sector. Computers & Security, 106.

[27] Sumets, A., Kniaz, S., Heorhiadi, N., Skrynkovskyy, R., & Matsuk, V. (2022). Methodological toolkit for assessing the level of stability of agricultural enterprises. Agricultural and Resource Economics, 8(1), 235-255. https://doi.org/10.51599/are.2022.08.01.12

[28] Tavolato, P. P., et al. (2021). Network protocol independent anomaly detection using deep learning autoencoders. Future Generation Computer Systems, 80-96.

[29] Uwitonze, P., et al. (2021). Hybridized elliptic curve cryptography-based group signature scheme for secure IoT-enabled telemedicine systems. Journal of Medical Systems, 45(6), 1-14.

[30] Wang, J., et al. (2021). A survey of threat intelligence in IoT security. Future Generation Computer Systems, 116.

[31] Wang, X., et al. (2021). Communication-efficient secure data aggregation for distributed cyber-physical systems. Future Generation Computer Systems, 118.

[32] Yang, M., et al. (2021). A hybrid quantum-behaved particle swarm optimization with differential evolution and fuzzy clustering algorithm for clustering analysis. Materials Today: Proceedings.

[33] Zhang, Y., et al. (2021). Dynamic cyber risk assessment for industrial control systems: A data-driven approach. Reliability Engineering & System Safety, 210, 107568.

[34] Zulkurnain, N. S., et al. (2021). IoT-based electronic health record access control and management. Journal of King Saud University - Computer and Information Sciences.

Abstract

References

How to cite