• Ajinkya Kotwal
• Omkar Satpute
• Prem Khandelwal
• Rishikesh Mahajan
• Prof. Pradnya Kasture

Traditional methods often rely on trusted Third-Party Auditors to execute auditing tasks and the burden of users during the verification phase can be decreased. For example, in Wise Information Technology of 120, massive electronic health records are collected by wearable devices and then stored. To collect, process, store and analyze these large-scale IoT data securely has therefore become one of the most important issues for further applications of Internet of Things. Traditional distributed database systems cannot fully satisfy the requirements of data management in the IoT devices environment and there was authority of a single entity over data generated. Achieving data integrity verification for large- scale lot data safely and efficiently has become one of the hot topics with further applications of Internet of Things. Traditional data integrity verification methods rely on trusted Third-Party Auditors.

API, Consensus Algorithm, Gas Fee, Hash, Merkle Tree, Smart Contract, Polygon.

"A Novel Approach to Securing IoT Data: Utilizing Polygon Blockchain for Data Integrity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.i701-i708, May-2023, Available :http://www.jetir.org/papers/JETIR2305915.pdf

"A Novel Approach to Securing IoT Data: Utilizing Polygon Blockchain for Data Integrity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppi701-i708, May-2023, Available at : http://www.jetir.org/papers/JETIR2305915.pdf