The Role of Blockchain and AI in Fortifying Cybersecurity for Healthcare Systems
DOI:
https://doi.org/10.22399/ijcesen.596Keywords:
Healthcare cybersecurity, Blockchain, Artificial Intelligence, Data integrity, Threat detectionAbstract
In a simulated healthcare setting, the algorithms were assessed based on organized threat insight data, inconsistency location executed with blockchain-enhanced access control, and machine learning-driven interruption detection. The test results depiction showed that all calculations were feasible, with an accuracy range of 0.88-0.94 and lift defined between 0.75 and 1; knowledge values ranging from.86 to.92, and F1 scores between and above.90 results are displayed as follows: Above all, TIAA excelled in risk insights management; ADA exceeded expectations in detecting inconsistencies; BACA used blockchain to fortify access control; and ML-IDS produced remarkable results in intrusion detection. The importance of these algorithms in addressing particular cybersecurity concerns in the healthcare industry is highlighted through a comparative comparison with similar studies. The suggested algorithms are relevant to the growing conversation about cybersecurity in healthcare because they offer a comprehensive strategy to protect private health data, guarantee the reliability of assessment models, and fortify organizations against a variety of evolving cyberthreats.
References
Akansh Garg Dr. C Gurudas Nayak , Rakshitha Kiran P , Dr. Surendra Singh Rajpurohit , Dr. Farook Sayyad. (2024). Different Applications Of Block Chain Technology Belong To Supply Chain Management. S9 (2024), 698-704, 21.
Al-baity, H. (2023). The Artificial Intelligence Revolution in Digital Finance in Saudi Arabia: A Comprehensive Review and Proposed Framework. Sustainability, 15(18);13725. https://doi.org/10.3390/su151813725
Albarrak, A.M. (2024). Integration of Cybersecurity, Usability, and Human-Computer Interaction for Securing Energy Management Systems. Sustainability, 16(18);8144. https://doi.org/10.3390/su16188144
Albshaier, L., Almarri, S. and Hafizur Rahman, ,M.M. (2024). A Review of Blockchain’s Role in E-Commerce Transactions: Open Challenges, and Future Research Directions. Computers, 13(1);27. DOI:10.3390/computers13010027
Aldossri, R., Aljughaiman, A. and Albuali, A. (2024). Advancing Drone Operations through Lightweight Blockchain and Fog Computing Integration: A Systematic Review. Drones, 8(4);153. https://doi.org/10.3390/drones8040153
Alhakami, W. (2024). Evaluating modern intrusion detection methods in the face of Gen V multi-vector attacks with fuzzy AHP-TOPSIS. PLoS One, 19(5).
Alkhaldi, B. and Al-omary, A. (2024). Supply-Blockchain Functional Prototype for Optimizing Port Operations Using Hyperledger Fabric. Blockchains, 2(3);217. https://doi.org/10.3390/blockchains2030011
Ayat-allah Bouramdane. (2023). Cyberattacks in Smart Grids: Challenges and Solving the Multi-Criteria Decision-Making for Cybersecurity Options, Including Ones That Incorporate Artificial Intelligence, Using an Analytical Hierarchy Process. Journal of Cybersecurity and Privacy, 3(4);662. https://doi.org/10.3390/jcp3040031
Bai-qiao, C., Liu, K., Yu, T. and Li, R. (2024). Enhancing Reliability in Floating Offshore Wind Turbines through Digital Twin Technology: A Comprehensive Review. Energies, 17(8);1964. https://doi.org/10.3390/en17081964
Bathula, A., Gupta, S.K., Merugu, S., Saba, L., Khanna, N.N., Laird, J.R., Sanagala, S.S., Singh, R., Garg, D., Fouda, M.M. and Suri, J.S.
(2024). Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review. The Artificial Intelligence Review, 57(9);238. https://doi.org/10.1007/s10462-024-10873-5
Bobde, Y., narayanan, g., jati, m., raja soosaimarian, p.r., cvitić, i. and peraković, D. (2024). Enhancing Industrial IoT Network Security through Blockchain Integration. Electronics, 13(4);687. https://doi.org/10.3390/electronics13040687
Bose, R., sutradhar, s., bhattacharyya, d. and roy, S. (2023). Trustworthy Healthcare Cloud Storage Auditing Scheme (TCSHAS) with blockchain-based incentive mechanism. SN Applied Sciences, 5(12);334. https://doi.org/10.1007/s42452-023-05525-2
Burke, w., stranieri, a., oseni, t. and gondal, I. (2024). The need for cybersecurity self-evaluation in healthcare. BMC Medical Informatics and Decision Making, 24;1-15. DOI: 10.1186/s12911-024-02551-x
Calzada, I. (2024). Democratic Erosion of Data-Opolies: Decentralized Web3 Technological Paradigm Shift Amidst AI Disruption. Big Data and Cognitive Computing, 8(3);26. https://doi.org/10.3390/bdcc8030026
Cunha, J., ferreira, p., castro, e.m., oliveira, p.c., maria joão nicolau, núñez, i., xosé, r.s. and serôdio, C. (2024). Enhancing Network Slicing Security: Machine Learning, Software-Defined Networking, and Network Functions Virtualization-Driven Strategies. Future Internet, 16(7);226. https://doi.org/10.3390/fi16070226
Daousis, S., peladarinos, n., cheimaras, v., papageorgas, p., piromalis, d.d. and munteanu, R.A. (2024). Overview of Protocols and Standards for Wireless Sensor Networks in Critical Infrastructures. Future Internet, 16(1);33. https://doi.org/10.3390/fi16010033
Eghmazi, A., ataei, m., landry, r.,jr and chevrette, G. (2024). Enhancing IoT Data Security: Using the Blockchain to Boost Data Integrity and Privacy. IoT, 5(1);20. DOI:10.3390/iot5010002
Elisha Elikem, K.S., anggraini, l., kumi, j.a., luna, b.k., akansah, e., hafeez, a.s., mendonça, i. and aritsugi, M. (2024). IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities. Electronics, 13(10);1894. DOI:10.3390/electronics13101894
Fakhouri, H.N., alawadi, s., awaysheh, f.m., imad, b.h., alkhalaileh, m. and hamad, f. (2023). A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions. Electronics, 12(22);4604. https://doi.org/10.3390/electronics12224604
Gadde, S., rao, g.s., venkata, s.v., yarlagadda, m. and lakshmi patibandla, R.S.M. (2023). Secure Data Sharing in Cloud Computing: A Comprehensive Survey of Two-Factor Authentication and Cryptographic Solutions. Ingenierie des Systemes d'Information, 28(6);1467-1477. DOI:10.18280/isi.280604
Gallegos, J., arévalo, p., montaleza, c. and jurado, F. (2024). Sustainable Electrification—Advances and Challenges in Electrical-Distribution Networks: A Review. Sustainability, 16(2);698. https://doi.org/10.3390/su16020698
Hu, H., Yu, S.S. and Trinh, H. (2024). A Review of Uncertainties in Power Systems—Modeling, Impact, and Mitigation. Designs, 8(1);10. DOI:10.3390/designs8010010
Huan-Wei, L., Yuan-chia, c. and han, T. (2023). Fortifying Health Care Intellectual Property Transactions With Blockchain. Journal of Medical Internet Research, 25(1); e44578. doi: 10.2196/44578.
Hussam, S.M., krichen, m., adem, a.a. and ammi, M. (2023). Survey on Blockchain-Based Data Storage Security for Android Mobile Applications. Sensors, 23(21);8749. doi: 10.3390/s23218749.
Iuon-chang, L., Pai-ching tseng, chen, p. and chiou, S. (2024). Enhancing Data Preservation and Security in Industrial Control Systems through Integrated IOTA Implementation. Processes, 12(5);921. https://doi.org/10.3390/pr12050921
Javaid, M., haleem, a., singh, r.p. and gupta, S. (2024). Leveraging lean 4.0 technologies in healthcare: An exploration of its applications. Advances in Biomarker Sciences and Technology, 6;138-151. https://doi.org/10.1016/j.abst.2024.08.001
Khokhar, R.H., rankothge, w., rashidi, l., mohammadian, h., ghorbani, a., frei, b., ellis, s. and freitas, I. (2024). A Survey on Supply Chain Management: Exploring Physical and Cyber Security Challenges, Threats, Critical Applications, and Innovative Technologies. International Journal of Supply and Operations Management, 11(3);250-283. DOI: 10.22034/IJSOM.2024.110219.2975
Kormiltsyn, A., dwivedi, v., udokwu, c., norta, a. and nisar, S. (2023). Privacy-Conflict Resolution for Integrating Personal- and Electronic Health Records in Blockchain-Based Systems. Blockchain in Healthcare Today, 6(2) doi: 10.30953/bhty.v6.276.
Love Allen, c.a., nwakanma, c.i. and dong-seong, k. (2024). Tides of Blockchain in IoT Cybersecurity. Sensors, 24(10);3111. doi: 10.3390/s24103111.
Machele, I.L., onumanyi, a.j., abu-mahfouz, a. and kurien, A.M. (2024). Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches. Journal of Sensor and Actuator Networks, 13(2);20. DOI:10.3390/jsan13020020
Alkhatib, A., Albdor , L., Fayyad, S., & Ali, H. (2024). Blockchain-Enhanced Multi-Factor Authentication for Securing IoT Children’s Toys: Securing IoT Children’s Toys. International Journal of Computational and Experimental Science and Engineering, 10(4);1041-1049. https://doi.org/10.22399/ijcesen.417
P., V., & A., M. R. (2024). A Scalable, Secure, and Efficient Framework for Sharing Electronic Health Records Using Permissioned Blockchain Technology. International Journal of Computational and Experimental Science and Engineering, 10(4);827-834. https://doi.org/10.22399/ijcesen.535
Prasada, P., & Prasad, D. S. (2024). Blockchain-Enhanced Machine Learning for Robust Detection of APT Injection Attacks in the Cyber-Physical Systems. International Journal of Computational and Experimental Science and Engineering, 10(4);799-810. https://doi.org/10.22399/ijcesen.539
Suneetha Madduluri, & T. Kishorekumar. (2024). Multimodal Biometric Authentication System for Military Weapon Access: Face and ECG Authentication. International Journal of Computational and Experimental Science and Engineering, 10(4);952-561. https://doi.org/10.22399/ijcesen.565
C, A., K, S., N, N. S., & S, P. (2024). Secured Cyber-Internet Security in Intrusion Detection with Machine Learning Techniques. International Journal of Computational and Experimental Science and Engineering, 10(4);663-670. https://doi.org/10.22399/ijcesen.491
Godavarthi, S., & G., D. V. R. (2024). Federated Learning’s Dynamic Defense Against Byzantine Attacks: Integrating SIFT-Wavelet and Differential Privacy for Byzantine Grade Levels Detection. International Journal of Computational and Experimental Science and Engineering, 10(4);775-786. https://doi.org/10.22399/ijcesen.538
S, P., & A, P. (2024). Secured Fog-Body-Torrent : A Hybrid Symmetric Cryptography with Multi-layer Feed Forward Networks Tuned Chaotic Maps for Physiological Data Transmission in Fog-BAN Environment. International Journal of Computational and Experimental Science and Engineering, 10(4);671-681. https://doi.org/10.22399/ijcesen.490
R, U. M., P, R. S., Gokul Chandrasekaran, & K, M. (2024). Assessment of Cybersecurity Risks in Digital Twin Deployments in Smart Cities. International Journal of Computational and Experimental Science and Engineering, 10(4);695-700. https://doi.org/10.22399/ijcesen.494
Guven, M. (2024). A Comprehensive Review of Large Language Models in Cyber Security. International Journal of Computational and Experimental Science and Engineering, 10(3);507-516. https://doi.org/10.22399/ijcesen.469
Guven, mesut. (2024). Dynamic Malware Analysis Using a Sandbox Environment, Network Traffic Logs, and Artificial Intelligence. International Journal of Computational and Experimental Science and Engineering, 10(3);480-490. https://doi.org/10.22399/ijcesen.460
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