Digitization as a Pillar of Economic Security: Opportunities and Challenges
Schlagworte:
Digitization, Economic Security, Cybersecurity, Artificial Intelligence, Blockchain, Internet of Things.Abstract
In the context of rapid technological advancement, digitization has become a fundamental driver of economic development, fostering innovation, efficiency, and global competitiveness. This study explores the multifaceted impact of digital transformation on economic security, highlighting both its advantages and vulnerabilities. Key areas analyzed include data protection, financial operations, fraud prevention, supply chain resilience, and job creation. Emerging technologies such as artificial intelligence, blockchain, and the Internet of Things play a transformative role but demand adaptive strategies to mitigate associated risks. The research emphasizes the importance of robust cybersecurity measures, international collaboration, and policy frameworks to safeguard critical infrastructures and ensure economic stability. The findings underscore that while digitization offers unparalleled opportunities, continuous vigilance and innovation are essential to address evolving cyber threats. Future work should investigate the implications of artificial intelligence in economic security and develop global regulatory standards to promote a secure and inclusive digital ecosystem.
Literaturhinweise
Alharbi, S., Attiah, A., & Alghazzawi, D. (2022). Integrating Blockchain with Artificial Intelligence to Secure IoT Networks: Future Trends. Sustainability, 14(23), 16002.
Aliyev, A. G. (2022). Technologies ensuring the sustainability of information security of the formation of the digital economy and their perspective development directions. International Journal of Information Engineering and Electronic Business, 14(5), 1.
Alotaibi, B. (2019). Utilizing blockchain to overcome cyber security concerns in the internet of things: A review. IEEE Sensors Journal, 19(23), 10953–10971.
Ameen, A. H., Mohammed, M. A., & Rashid, A. N. (2023). Dimensions of artificial intelligence techniques, blockchain, and cyber security in the Internet of medical things: Opportunities, challenges, and future directions. Journal of Intelligent Systems, 32(1), 20220267. https://doi.org/10.1515/jisys-2022-0267
Attkan, A., & Ranga, V. (2022). Cyber-physical security for IoT networks: A comprehensive review on traditional, blockchain and artificial intelligence based key-security. Complex & Intelligent Systems, 8(4), 3559–3591. https://doi.org/10.1007/s40747-022-00667-z
Bothra, P., Karmakar, R., Bhattacharya, S., & De, S. (2023). How can applications of blockchain and artificial intelligence improve performance of Internet of Things?–A survey. Computer Networks, 224, 109634.
Dhar Dwivedi, A., Singh, R., Kaushik, K., Rao Mukkamala, R., & Alnumay, W. S. (2024). Blockchain and artificial intelligence for 5G‐enabled Internet of Things: Challenges, opportunities, and solutions. Transactions on Emerging Telecommunications Technologies, 35(4), e4329. https://doi.org/10.1002/ett.4329
Dildora, K., Sitora, T., & Mokhibonu, R. (n.d.). The Risk of Low Birth Weight in Pregnants with Hypertension: A Case-control Study. International Journal of Health Sciences, 6(S9), 3517–3524.
Dobrovolska, O., & Rozhkova, M. (2024). The Impact of Digital Transformation on the Anti-Corruption and Cyber-Fraud System. Business Ethics and Leadership, 8(3), 231–252.
Ibragimov, K., Sultonov, I., & Ravshanova, M. (2024). The Effectiveness of the Combination Therapy with biologic DMARDS in Rheumatoid Arthritis. Frontiers of Global Science, 2(1), 17–24.
Khan, A. A., Laghari, A. A., Shaikh, Z. A., Dacko-Pikiewicz, Z., & Kot, S. (2022). Internet of Things (IoT) security with blockchain technology: A state-of-the-art review. IEEE Access, 10, 122679–122695.
Paramesha, M., Rane, N. L., & Rane, J. (2024). Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. Partners Universal Multidisciplinary Research Journal, 1(2), 110–133.
Raimundo, R. J., & Rosário, A. T. (2022). Cybersecurity in the internet of things in industrial management. Applied Sciences, 12(3), 1598.
Ravshanova, M., Ibragimov, K., Uralov, R., Xasanov, F., Islamova, K., Abdushukurova, K., Sultonov, I., & Axmedov, I. (2024). Clinical and Immunological Characteristics of Patients with Rheumatoid Arthritis on Synthetic DMARDS Therapy. Frontiers of Global Science, 2(1), 41–47.
Singh, S. K., Rathore, S., & Park, J. H. (2020). Blockiotintelligence: A blockchain-enabled intelligent IoT architecture with artificial intelligence. Future Generation Computer Systems, 110, 721–743.
Singh, S., Sharma, P. K., Yoon, B., Shojafar, M., Cho, G. H., & Ra, I.-H. (2020). Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city. Sustainable Cities and Society, 63, 102364.
Zainuddin, A. A., Handayani, D., Ridza, I. H. M., Rahman, S. H. A., Kamarudin, S. I., Ahmad, K. Z., Mahazir, M. D., Sukhaimi, M. H., Subramaniam, K., & Basri, M. I. F. (2024). Converging for Security: Blockchain, Internet of Things, Artificial Intelligence-Why Not Together? 2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE), 181–186. https://ieeexplore.ieee.org/abstract/document/10576459/
Zelisko, N., Raiter, N., Markovych, N., Matskiv, H., & Vasylyna, O. (2024). Improving business processes in the agricultural sector considering economic security, digitalization, risks, and artificial intelligence. Ekonomika APK, 31(3), 10–21.
