The Internet of Things (IoT) is a new paradigm that uses an Internet to communicate a wide range of physical objects with the cyber scientist. The Internet of Things (IoT) is rapidly growing and would soon have a big influence on our daily lives. While the growing amount of linked IoT gadgets makes our lives easier, it actually puts our personal information at danger. For IoT devices, radio frequency identification (RFID) aids in the automated identification of connected devices. However, both privacy and security for RFID tagconnected technologies are the key issues. The increasing security of radio frequency identification (RFID) solutions for a variety of RFID applications that require a centralized database expansion, as compared to a standard central database, blockchain technologies are rapidly establishing itself with a new decentralized and distributed alternative that offers improved data security , dependability, transparency, the immutability, and lower maintenance costs. RFID is expected to play a major role in enabling identification technologies in the Internet of Things due to its inherent benefits. However, because of its connection with sensor technology, it may be used in the broad range of sectors. On the other hand, one of the most challenging parts of developing a RFID system appeared for being security. Authentication and privacy concerns are at the heart of RFID security. Elliptic curve cryptosystem (ECC) related algorithms are commonly regarded as the best option among PKC approaches due to their small key sizes and effective calculations. Recently W.K. Ahmed et al . proposed a New Lightweight BLOCKCHAIN and ECC-Based RFID Authentication Protocol for IOT. We found the weaknesses of W.K. Ahmed et al protocol by computation cost high and running time high. In order to solve these problems. In this paper, we introduce Improving lightweight authentication using New techniques for IoT. Our protocol uses techniques from them blockchain, ECC, Arnold map chaotic, and Markova chain. We implemented our suggested programming using python language. after comparing storage cost, communication cost, and computation cost with other protocols, our protocol is more secure and performance efficient than the existing RFID protocols and is well suited for practical applications.