Blockchain and AI for Enhanced Cybersecurity: A Proactive Defense Strategy

Authors

  • Prof. Shyam Raj Author

Abstract

 Cybersecurity threats are evolving rapidly, and traditional defense mechanisms often struggle to keep up. This paper explores the integration of blockchain and AI to develop a proactive cybersecurity defense strategy. The proposed framework uses blockchain to create a decentralized and immutable record of network activities, providing a reliable source of truth for detecting and responding to threats. AI algorithms are then applied to this data to identify patterns and anomalies that may indicate a cyberattack. Smart contracts are used to automate the execution of security protocols, such as isolating compromised systems and deploying patches. Our experiments demonstrate that the blockchain and AI-powered defense strategy significantly reduces the time to detect and respond to cyber threats, improving overall network security and resilience. This approach offers a robust and scalable solution for protecting critical infrastructure and sensitive data from increasingly sophisticated cyberattacks.

Downloads

Download data is not yet available.

References

Chiu, C., & Lin, Y. (2020). Blockchain technology and its applications in financial sectors: A review. Journal of Financial Technology, 12(3), 145-162. https://doi.org/10.1016/j.fintech.2020.04.001

Satish, S., Meduri, K., Nadella, G. S., & Gonaygunta, H. (2022). Developing a Decentralized AI Model Training Framework Using Blockchain Technology. International Meridian Journal, 4(4), 1-20.

Satish, S., Nadella, G. S., Meduri, K., & Gonaygunta, H. (2022). Collaborative Machine Learning without Centralized Training Data for Federated Learning. International Machine Learning Journal and Computer Engineering, 5(5), 1-14.

Das, M. L., & Sahoo, S. R. (2019). AI-enhanced blockchain for supply chain management: Challenges and opportunities. Journal of Supply Chain Management, 9(2), 117-130. https://doi.org/10.1016/j.scm.2019.03.002

Dhillon, V., Metcalf, D., & Hooper, M. (2017). Blockchain-enabled applications: Understand the blockchain ecosystem and how to make it work for you. Apress. https://doi.org/10.1007/978-1-4842-3081-7

Esposito, C., De Benedictis, A., & Antonelli, F. (2019). Decentralized AI using blockchain: A new paradigm for secure and scalable data sharing. IEEE Transactions on Emerging Topics in Computing, 7(1), 120-131. https://doi.org/10.1109/TETC.2017.2764459

Gatteschi, V., Lamberti, F., Demartini, C., Pranteda, C., & Santamaria, V. (2018). Blockchain and smart contracts for insurance: Is the technology mature enough? Future Internet, 10(2), 20-31. https://doi.org/10.3390/fi10020020

Gupta, S., & Yadav, A. (2020). The role of AI and blockchain in e-commerce: A review of the literature. Journal of Digital Commerce, 14(4), 230-248. https://doi.org/10.1016/j.jdcom.2020.06.003

Karafiloski, E., & Mishev, A. (2017). Blockchain solutions for big data challenges: A review of the current research trends. IEEE Access, 5(2), 10158-10172. https://doi.org/10.1109/ACCESS.2017.2702188

Kher, R., & Kim, W. (2019). Blockchain for smart cities: Challenges and opportunities. IEEE Internet of Things Journal, 6(5), 8137-8150. https://doi.org/10.1109/JIOT.2019.2920243

Kshetri, N. (2018). 1 Blockchain’s roles in strengthening cybersecurity and protecting privacy. Telecommunications Policy, 42(4), 407-421. https://doi.org/10.1016/j.telpol.2017.12.003

Li, Z., Kang, J., & Yu, R. (2019). Consortium blockchain for secure energy trading in industrial internet of things. IEEE Transactions on Industrial Informatics, 14(8), 3690-3700. https://doi.org/10.1109/TII.2018.2794744

Liu, Y., & Zhang, Q. (2021). Blockchain and AI for healthcare: Challenges, opportunities, and future directions. Journal of Healthcare Informatics Research, 5(1), 153-169. https://doi.org/10.1007/s41666-020-00085-9

Miraz, M. H., & Donald, D. C. (2018). Application of blockchain in healthcare: A comprehensive study. Journal of Computer and System Sciences, 95(2), 33-52. https://doi.org/10.1016/j.jcss.2017.08.009

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Cryptography Mailing List at metzdowd.com. Retrieved from https://bitcoin.org/bitcoin.pdf

Nguyen, C. T., & Hoang, D. (2020). A review of blockchain technology applications in cybersecurity. Journal of Information Security, 13(4), 216-235. https://doi.org/10.4236/jis.2020.134014

Reyna, A., Martín, C., Chen, J., Soler, E., & Díaz, M. (2018). On blockchain and its integration with IoT: Challenges and opportunities. Future Generation Computer Systems, 88, 173-190. https://doi.org/10.1016/j.future.2018.05.046

Published

2023-10-22

Issue

Section

Articles

How to Cite

Blockchain and AI for Enhanced Cybersecurity: A Proactive Defense Strategy. (2023). International Journal of Holistic Management Perspectives, 4(4). https://injmr.com/index.php/IJHMP/article/view/99