AI and Blockchain-Enabled Cyber Risk Scoring for Healthcare Enterprises
Abstract
This paper presents a comprehensive cyber risk scoring system powered by AI and blockchain, designed for healthcare organizations. AI algorithms assess potential vulnerabilities based on historical threat data, while blockchain secures the scoring process and provides a transparent record for compliance purposes. The system’s efficacy is tested in real-world healthcare scenarios, showing its ability to deliver precise risk assessments and actionable recommendations. The research emphasizes the importance of adopting innovative tools to strengthen cybersecurity frameworks in the healthcare sector.
References
BOPPINITI, S. T. (2018). Human-Centric Design for IoT-Enabled Urban Health Solutions: Beyond Data Collection. International Transactions in Artificial Intelligence, 2(2).
BOPPINITI, S. T. (2018). Unraveling the Complexities of Healthcare Data Governance: Strategies, Challenges, and Future Directions. Transactions on Latest Trends in IoT, 1(1), 73-89.
BOPPINITI, S. T. (2017). Privacy-Preserving Techniques for IoT-Enabled Urban Health Monitoring: A Comparative Analysis. International Transactions in Artificial Intelligence, 1(1).
BOPPINITI, S. T. (2016). Core Standards and Applications of Big Data Analytics. International Journal of Sustainable Development in computer Science Engineering, 2(2).
BOPPINITI, S. T. (2015). Revolutionizing Industries with Machine Learning: A Global Insight. International Journal of Sustainable Development in computer Science Engineering, 1(1).
BOPPINITI, S. T. (2014). Emerging Paradigms in Robotics: Fundamentals and Future Applications. Transactions on Latest Trends in Health Sector, 6(6).
Deekshith, A. (2022). Cross-Disciplinary Approaches: The Role of Data Science in Developing AI-Driven Solutions for Business Intelligence. International Machine learning journal and Computer Engineering, 5(5).
Deekshith, A. (2023). Scalable Machine Learning: Techniques for Managing Data Volume and Velocity in AI Applications. International Scientific Journal for Research, 5(5).
DEEKSHITH, A. (2018). Seeding the Future: Exploring Innovation and Absorptive Capacity in Healthcare 4.0 and HealthTech. Transactions on Latest Trends in IoT, 1(1), 90-99.
DEEKSHITH, A. (2017). Evaluating the Impact of Wearable Health Devices on Lifestyle Modifications. International Transactions in Artificial Intelligence, 1(1).
DEEKSHITH, A. (2016). Revolutionizing Business Operations with Artificial Intelligence, Machine Learning, and Cybersecurity. International Journal of Sustainable Development in computer Science Engineering, 2(2).
DEEKSHITH, A. (2015). Exploring the Foundations, Applications, and Future Prospects of Artificial Intelligence. International Journal of Sustainable Development in computer Science Engineering, 1(1).
DEEKSHITH, A. (2014). Neural Networks and Fuzzy Systems: A Synergistic Approach. Transactions on Latest Trends in Health Sector, 6(6).
Pindi, V. (2018). NATURAL LANGUAGE PROCESSING(NLP) APPLICATIONS IN HEALTHCARE: EXTRACTING VALUABLE INSIGHTS FROM UNSTRUCTURED MEDICAL DATA. International Journal of Innovations in Engineering Research and Technology, 5(3), 1-10.
Pindi, V. (2019). A AI-ASSISTED CLINICAL DECISION SUPPORT SYSTEMS: ENHANCING DIAGNOSTIC ACCURACY AND TREATMENT RECOMMENDATIONS. International Journal of Innovations in Engineering Research and Technology, 6(10), 1-10.
PINDI, V. (2022). ETHICAL CONSIDERATIONS AND REGULATORY COMPLIANCE IN IMPLEMENTING AI SOLUTIONS FOR HEALTHCARE APPLICATIONS. IEJRD-International Multidisciplinary Journal, 5(5), 11.
Gatla, T. R. (2019). A CUTTING-EDGE RESEARCH ON AI COMBATING CLIMATE CHANGE: INNOVATIONS AND ITS IMPACTS. INNOVATIONS, 6(09).
Gatla, T. R. “A GROUNDBREAKING RESEARCH IN BREAKING LANGUAGE BARRIERS: NLP AND LINGUISTICS DEVELOPMENT. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
Gatla, T. R. (2018). AN EXPLORATIVE STUDY INTO QUANTUM MACHINE LEARNING: ANALYZING THE POWER OF ALGORITHMS IN QUANTUM COMPUTING. International Journal of Emerging Technologies and Innovative Research (www. jetir. org), ISSN, 2349-5162.
Gatla, T. R. MACHINE LEARNING IN DETECTING MONEY LAUNDERING ACTIVITIES: INVESTIGATING THE USE OF MACHINE LEARNING ALGORITHMS IN IDENTIFYING AND PREVENTING MONEY LAUNDERING SCHEMES (Vol. 6, No. 7, pp. 4-8). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
Gatla, T. R. (2020). AN IN-DEPTH ANALYSIS OF TOWARDS TRULY AUTONOMOUS SYSTEMS: AI AND ROBOTICS: THE FUNCTIONS. IEJRD-International Multidisciplinary Journal, 5(5), 9.
Gatla, T. R. (2024). AI-driven Regulatory Compliance for Financial Institutions: Examining How AI Can Assist in Monitoring and Complying With Ever-changing Financial Regulations.
Gatla, T. R. A Next-Generation Device Utilizing Artificial Intelligence For Detecting Heart Rate Variability And Stress Management.
Gatla, T. R. (2023). MACHINE LEARNING IN CREDIT RISK ASSESSMENT: ANALYZING HOW MACHINE LEARNING MODELS ARE.
Gatla, T. R. (2022). BLOCKCHAIN AND AI INTEGRATION FOR FINANCIAL.
Gatla, T. R. A CRITICAL EXAMINATION OF SHIELDING THE CYBERSPACE: A REVIEW ON THE ROLE OF AI IN CYBER SECURITY.
Gatla, T. R. REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE.
Velaga, S. P. (2014). DESIGNING SCALABLE AND MAINTAINABLE APPLICATION PROGRAMS. IEJRD-International Multidisciplinary Journal, 1(2), 10.
Velaga, S. P. (2016). LOW-CODE AND NO-CODE PLATFORMS: DEMOCRATIZING APPLICATION DEVELOPMENT AND EMPOWERING NON-TECHNICAL USERS. IEJRD-International Multidisciplinary Journal, 2(4), 10.
Velaga, S. P. (2017). “ROBOTIC PROCESS AUTOMATION (RPA) IN IT: AUTOMATING REPETITIVE TASKS AND IMPROVING EFFICIENCY. IEJRD-International Multidisciplinary Journal, 2(6), 9.
Velaga, S. P. (2018). AUTOMATED TESTING FRAMEWORKS: ENSURING SOFTWARE QUALITY AND REDUCING MANUAL TESTING EFFORTS. International Journal of Innovations in Engineering Research and Technology, 5(2), 78-85.
Velaga, S. P. (2020). AIASSISTED CODE GENERATION AND OPTIMIZATION: LEVERAGING MACHINE LEARNING TO ENHANCE SOFTWARE DEVELOPMENT PROCESSES. International Journal of Innovations in Engineering Research and Technology, 7(09), 177-186.
Kolla, V. R. K. (2016). Forecasting Laptop Prices: A Comparative Study of Machine Learning Algorithms for Predictive Modeling. International Journal of Information Technology & Management Information System.
Kolla, V. R. K. (2021). Cyber security operations centre ML framework for the needs of the users. International Journal of Machine Learning for Sustainable Development, 3(3), 11-20.
Kolla, V. R. K. (2021). Prediction in Stock Market using AI. Transactions on Latest Trends in Health Sector, 13(13).
Kolla, V. R. K. (2020). India’s Experience with ICT in the Health Sector. Transactions on Latest Trends in Health Sector, 12(12).
Kolla, V. R. K. (2021). A Secure Artificial Intelligence Agriculture Monitoring System.
Kolla, V. R. K. (2023). The Future of IT: Harnessing the Power of Artificial Intelligence. International Journal of Sustainable Development in Computing Science, 5(1).
Vattikuti, M. C. (2024). Improving Drug Discovery and Development Using AI: Opportunities and Challenges. Research-gate journal, 10(10).
Vattikuti, M. C. (2022). Comparative Analysis of Deep Learning Models for Tumor Detection in Medical Imaging. Research-gate journal, 8(8).
Vattikuti, M. C. (2020). A Comprehensive Review of AI-Based Diagnostic Tools for Early Disease Detection in Healthcare. Research-gate journal, 6(6).
Vattikuti, M. C. (2018). Leveraging Edge Computing for Real-Time Analytics in Smart City Healthcare Systems. International Transactions in Artificial Intelligence, 2(2).
Vattikuti, M. C. (2018). Leveraging AI for Sustainable Growth in AgTech: Business Models in the Digital Age. Transactions on Latest Trends in IoT, 1(1), 100-105.
Vattikuti, M. C. (2017). Ethical Framework for Integrating IoT in Urban Healthcare Systems. International Transactions in Artificial Intelligence, 1(1).
Vattikuti, M. C. (2016). The Rise of Big Data in Information Technology: Transforming the Digital Landscape. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Vattikuti, M. C. (2015). Harnessing Big Data: Transformative Implications and Global Impact of Data-Driven Innovations. International Journal of Sustainable Development in computer Science Engineering, 1(1).
Vattikuti, M. C. (2014). Core Principles and Applications of Big Data Analytics. Transactions on Latest Trends in Health Sector, 6(6).
Davuluri, M. (2024). An Overview of Natural Language Processing in Analyzing Clinical Text Data for Patient Health Insights. Research-gate journal, 10(10).
Davuluri, M., & Yarlagadda, V. S. T. (2024). NOVEL DEVICE FOR ENHANCING TUBERCULOSIS DIAGNOSIS FOR FASTER, MORE ACCURATE SCREENING RESULTS. International Journal of Innovations in Engineering Research and Technology, 11(11).
Davuluri, M. (2022). Comparative Study of Machine Learning Algorithms in Predicting Diabetes Onset Using Electronic Health Records. Research-gate journal, 8(8).
Davuluri, M. (2020). AI-Driven Predictive Analytics in Patient Outcome Forecasting for Critical Care. Research-gate journal, 6(6).
Davuluri, M. (2018). Revolutionizing Healthcare: The Role of AI in Diagnostics, Treatment, and Patient Care Integration. International Transactions in Artificial Intelligence, 2(2).
Davuluri, M. (2018). Navigating AI-Driven Data Management in the Cloud: Exploring Limitations and Opportunities. Transactions on Latest Trends in IoT, 1(1), 106-112.
Davuluri, M. (2017). Bridging the Healthcare Gap in Smart Cities: The Role of IoT Technologies in Digital Inclusion. International Transactions in Artificial Intelligence, 1(1).
Davuluri, M. (2016). Avoid Road Accident Using AI. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Davuluri, M. (2015). Integrating Neural Networks and Fuzzy Logic: Innovations and Practical Applications. International Journal of Sustainable Development in computer Science Engineering, 1(1).
Davuluri, M. (2014). The Evolution and Global Impact of Big Data Science. Transactions on Latest Trends in Health Sector, 6(6).
Ronakkumar Bathani,(2022). Automation in Data Engineering: Implementing GitHub Actions for CI/CD in ETL Workflows. International Journal of Engineering and Management Research, 12(1), 149–155. https://doi.org/10.5281/zenodo.13994660
Ronakkumar Bathani,(2022). DATA PRIVACY AND SECURITY IN HEALTHCARE: IMPLEMENTING COLUMN & ROW-LEVEL SECURITY. (2022). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 19(1), https://yigkx.org.cn/index.php/jbse/article/view/264
Ronakkumar Bathani, (2024). Building HIPAA-Compliant Cross-Organizational Data Analytics: Leveraging Snowflake Data Cleanrooms. International Journal of Intelligent Systems and Applications in Engineering, 12(13s), 760–766. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7017
Joshi, N. Y. (2022). Implementing Automated Testing Frameworks in CI/CD Pipelines: Improving Code Quality and Reducing Time to Market. International Journal on Recent and Innovation Trends in Computing and Communication, 10(6), 106-113.
Joshi, N. Y. (2021). ENHANCING DEPLOYMENT EFFICIENCY: A CASE STUDY ON CLOUD MIGRATION AND DEVOPS INTEGRATION FOR LEGACY SYSTEMS. Journal Of Basic Science And Engineering, 18(1).
Joshi, N. Y. (2023). DEVELOPING ROBUST APIS AND WEB APPLICATIONS FOR ENTERPRISE APPLICATIONS: AUTOMATION FRAMEWORKS AND TESTING STRATEGIES. JOURNAL OF BASIC SCIENCE AND ENGINEERING, 20(1).
Karthigayan Devan. (2022). Streamlining CI/CD Pipelines with DEVOPS, SRE and Platform Engineering. International Journal on Recent and Innovation Trends in Computing and Communication, 10(9), 186–195. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11134
AUTOMATING CLOUD SECURITY AND COMPLIANCE: TOOLS AND TECHNIQUES FOR SREs. (2021). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 18(1). https://yigkx.org.cn/index.php/jbse/article/view/305
A FRAMEWORK FOR MEASURING AND IMPROVING SRE MATURITY IN GLOBAL ORGANIZATIONS. (2020). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 17(1). https://yigkx.org.cn/index.php/jbse/article/view/306
Raju, M. K., Rajesh, R., Kumar, T. J., & Guravaiah, K. (2024, June). Ensuring Data Integrity: A Strategic Approach to Reconciliation in Data Migration Projects. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-8). IEEE.
Remala, R., Marupaka, D., & Mudunuru, K. R. (2024). Beyond Volume: Enhancing Data Quality in Big Data Analytics through Frameworks and Metrics.
Remala, R., Marupaka, D., & Mudunuru, K. R. (2024). Beyond Volume: Enhancing Data Quality in Big Data Analytics through Frameworks and Metrics.
Mudunuru, K. R., Remala, R., & Nagarajan, S. K. S. (2024). AI-Driven Data Analytics Unveiling Sales Insights from Demographics and Beyond.
Gami, S. J., Dhamodharan, B., Dutta, P. K., Gupta, V., & Whig, P. (2024). Data Science for Personalized Nutrition Harnessing Big Data for Tailored Dietary Recommendations. In Nutrition Controversies and Advances in Autoimmune Disease (pp. 606-630). IGI Global.
Gami, S. J., Sharma, M., Bhatia, A. B., Bhatia, B., & Whig, P. (2024). Artificial Intelligence for Dietary Management: Transforming Nutrition Through Intelligent Systems. In Nutrition Controversies and Advances in Autoimmune Disease (pp. 276-307). IGI Global.
Mettikolla, P., & Umasankar, K. (2019). Epidemiological analysis of extended-spectrum β-lactamase-producing uropathogenic bacteria. International Journal of Novel Trends in Pharmaceutical Sciences, 9(4), 75-82.
Dr. Prasad Mettikolla, Dr. T. Sunil Kumar Reddy, & Dr. G. Balammal. (2024). EXPLORING COX-1 AND COX-2 INHIBITION POTENTIAL OF AMBERBOA DIVARICATA AERIAL PARTS THROUGH IN-SILICO AND IN-VITRO STUDIES. Journal of Population Therapeutics and Clinical Pharmacology, 31(11), 292-298.
Dr. A. Saravana Kumar Dr. Prasad Mettikolla.(2014). IN VITRO ANTIOXIDANT ACTIVITY ASSESSMENT OF CAPPARIS ZEYLANICA FLOWERS. International Journal of Phytopharmacology, 5(6), 496-501.
