Blockchain for Securing Artificial Intelligence Training Data in Healthcare
Abstract
This paper explores the integration of blockchain technology to secure training datasets used in developing AI models for healthcare applications. The immutable nature of blockchain ensures the integrity and provenance of training data, mitigating risks such as poisoning and tampering. A prototype system is evaluated in the context of AI-powered radiology, demonstrating its potential to uphold data authenticity and improve model performance. The study advocates for the adoption of blockchain as a standard for secure AI development.
References
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.
Dr. R. Gandhimathi Dr. Prasad Mettikolla.(2015). EVALUATION OF ANTINOCICEPTIVE EFFECTS OF MELIA AZEDARACH LEAVES. International Journal of Pharmacy, 5(2), 104-108.
G. Sangeetha Dr. Prasad Mettikolla.(2016). ASSESSMENT OF IN VITRO ANTI-DIABETIC PROPERTIES OF CATUNAREGAM SPINOSA EXTRACTS. International Journal of Pharmacy Practice & Drug Research, 6(2), 76-81.
Remala, R., Mudunuru, K. R., Gami, S. J., & Nagarajan, S. K. S. (2024). Optimizing Data Management Strategies: Analyzing Snowflake and DynamoDB for SQL and NoSQL. Journal Homepage: http://www. ijmra. us, 14(8).
Gami, S. J., & Jain, S. N. (2024). Integrating IoT Data Streams with Machine Learning for Predictive Maintenance in Industrial Systems. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-16.
Gami, S. J., & Batra, I. (2024). Leveraging Big Data Analytics for Enhanced Decision-Making in Business Intelligence. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-17.
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.
Nagarajan, S. K. S., Remala, R., Mudunuru, K. R., & Gami, S. J. Automated Validation Framework in Machine Learning Operations for Consistent Data Processing.
Mudunuru, K. R., Remala, R., & Nagarajan, S. K. S. Leveraging IoT and Data Analytics in Logistics: Optimized Routing, Safety, and Resource Planning.
Nagarajan, S. K. S., Remala, R., Mudunuru, K. R., & Gami, S. J. Automated Validation Framework in Machine Learning Operations for Consistent Data Processing.
Sundararamaiah, M., Nagarajan, S. K. S., Remala, R., & Mudunuru, K. R. (2024). Crafting a High-Performance Real-Time Data Lake with Flink and Iceberg.
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.
Naimil Navnit Gadani. (2024). Leveraging the AWS Cloud Platform for CI/CD and Infrastructure Automation in Software Development. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 350 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6827
Devan, K. D. (2023). BUILDING SELF-HEALING SYSTEMS USING AI AND MACHINE LEARNING: ADVANCED PLATFORM ENGINEERING PRACTICES. International Journal of Innovation Studies, Vol. 7 No. 4 (2023). https://iji-studies.com/index.php/IJIS/article/view/124
Devan, K. D. (2023). THE INTERSECTION OF SECURITY AND RELIABILITY IN PLATFORM ENGINEERING. International Journal of Innovation Studies, Vol. 7 No. 1 (2023). https://iji-studies.com/index.php/IJIS/article/view/123
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
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).
Ronakkumar Bathani, (2020). COST EFFECTIVE FRAMEWORK FOR SCHEMA EVOLUTION IN DATA PIPELINES: ENSURING DATA CONSISTENCY. (2020). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 17(1), Retrieved from https://yigkx.org.cn/index.php/jbse/article/view/300
Ronakkumar Bathani, (2021). Enabling Predictive Analytics in the Utilities: Power Generation and Consumption Forecasting. International Journal of Communication Networks and Information Security (IJCNIS), 13(1), 197–204. Retrieved from https://ijcnis.org/index.php/ijcnis/article/view/7503
Ronakkumar Bathani, (2021). Optimizing Etl Pipelines for Scalable Data Lakes in Healthcare Analytics. International Journal on Recent and Innovation Trends in Computing and Communication, 9(10), 17–24. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11221
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
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.
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).
Kolla, V. R. K. (2020). Forecasting the Future of Crypto currency: A Machine Learning Approach for Price Prediction. International Research Journal of Mathematics, Engineering and IT, 7(12).
Kolla, V. R. K. (2018). Forecasting the Future: A Deep Learning Approach for Accurate Weather Prediction. International Journal in IT & Engineering (IJITE).
Kolla, V. R. K. (2016). Analyzing the Pulse of Twitter: Sentiment Analysis using Natural Language Processing Techniques. International Journal of Creative Research Thoughts.
Kolla, V. R. K. (2015). Heart Disease Diagnosis Using Machine Learning Techniques In Python: A Comparative Study of Classification Algorithms For Predictive Modeling. International Journal of Electronics and Communication Engineering & Technology.
Kolla, V. R. K. (2020). Paws And Reflect: A Comparative Study of Deep Learning Techniques For Cat Vs Dog Image Classification. International Journal of Computer Engineering and Technology.
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.
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.
Gatla, T. R. An innovative study exploring revolutionizing healthcare with ai: personalized medicine: predictive diagnostic techniques and individualized treatment. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
Gatla, T. R. ENHANCING CUSTOMER SERVICE IN BANKS WITH AI CHATBOTS: THE EFFECTIVENESS AND CHALLENGES OF USING AI-POWERED CHATBOTS FOR CUSTOMER SERVICE IN THE BANKING SECTOR (Vol. 8, No. 5). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
Gatla, T. R. (2017). A SYSTEMATIC REVIEW OF PRESERVING PRIVACY IN FEDERATED LEARNING: A REFLECTIVE REPORT-A COMPREHENSIVE ANALYSIS. IEJRD-International Multidisciplinary Journal, 2(6), 8.
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.
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.
Deekshith, A. (2019). Integrating AI and Data Engineering: Building Robust Pipelines for Real-Time Data Analytics. International Journal of Sustainable Development in Computing Science, 1(3), 1-35.
Deekshith, A. (2020). AI-Enhanced Data Science: Techniques for Improved Data Visualization and Interpretation. International Journal of Creative Research In Computer Technology and Design, 2(2).
Deekshith, A. (2021). Data engineering for AI: Optimizing data quality and accessibility for machine learning models. International Journal of Management Education for Sustainable Development, 4(4), 1-33.
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).
Boppiniti, S. T. (2021). Real-time data analytics with ai: Leveraging stream processing for dynamic decision support. International Journal of Management Education for Sustainable Development, 4(4).
Boppiniti, S. T. (2022). Exploring the Synergy of AI, ML, and Data Analytics in Enhancing Customer Experience and Personalization. International Machine learning journal and Computer Engineering, 5(5).
Boppiniti, S. T. (2019). Machine Learning for Predictive Analytics: Enhancing Data-Driven Decision-Making Across Industries. International Journal of Sustainable Development in Computing Science, 1(3).
Boppiniti, S. T. (2020). Big Data Meets Machine Learning: Strategies for Efficient Data Processing and Analysis in Large Datasets. International Journal of Creative Research In Computer Technology and Design, 2(2).
Boppiniti, S. T. (2023). Data Ethics in AI: Addressing Challenges in Machine Learning and Data Governance for Responsible Data Science. International Scientific Journal for Research, 5(5).
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).
