Abstract:
Data processing and storage in outsourced contexts has recently shifted to edge-related smart computing. Smart,
interconnected, Internet of Things (IoT) software denied networks prioritize security above all else when it comes to sharing data and
making it more scalable and efficient. In real-time computing systems, a variety of security-based issues may arise in operating
resources and sharing data due to the fast expansion of various smart services. Boost the trustworthiness of encrypted data storage
while meeting the fundamental needs of smart computing networks associated with the Internet of Things. Therefore, to offer
effective and safe data storage for intelligent computer systems. related to the Internet of Things (IoT), suggest and develop a Novel
Low Cost based Block chain Secure Model (NLCBSM). Using an AI calculation approach called the Leverage Bat algorithm to
investigate intricate aspects, this model can adaptably record user verification for the purpose of detecting various attacks connected
to users, such as distributed denial-of-service (DDOS) attacks on data reserve. Construct a a server-side blockchain end to furnish
trustworthy data storage and safe transmission on the IoT terminal. As an additional data transmission mechanism, we make use of
the Merkle tree, which offers low-cost communication overhead. This method employs a weighted data storage system to organize
and categorize information for every individual, along with safe and unsecure storage options available in networks of intelligent
computers, and each piece of data is assigned a random hash value to guarantee data integrity in the blockchain. The suggested
model's experimental results show that it can investigate intricate secure characteristics, guarantee secure the authentication's
operational efficiency for each user, and improve the communications overhead, accuracy, and security of smart computing data
storage and sharing systems related to the Internet of Things.
