A Novel Framework for Secure Blockchain Transactions
Sk. Khaja Shareef, R. Sridevi, V. Rama Raju, K. Subba Rao · 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) · 2022
Owing to the corona virus disease globally scientists designated as “COVID -19 Pandemic”, insurers have seen a rise in digital-virtual transactions as innovative and rejuvenation policy disbursements are made electronically in real-time, i.e., online. The lockdown and shutdown of schools, colleges and Academic institutions have shown chosen an advantage for education technology (EdTech) firms and enterprises, in conjunction with an expansion in need for their services and service sectors enabled by online payments. Many of the institutions are applying computational cloud mechanism to accumulate- build-up, store and share the data information related to the online transactions. Simultaneously, the rise of attacks and assaults is immensely amplified in the cloud mechanism. Keeping in view, scientists have developed model known as blockchain has been designed in a diverse and effective manner to overcome these raids and confrontations. But recent attacks on blockchain show that they can influence the blockchain and capture the half of the information from original transaction which can affect the integrity and privacy measure of the blockchain. The existing models are somewhat good but fail to offer continuous security because of the large data size. Therefore, in this paper, a novel blockchain-based cryptography algorithm is developed to secure blockchain transactions while avoiding security threats and preserving privacy. Moreover, the proposed blockchain algorithm is executed with the help of the Python platform. The performance of the proposed algorithm is compared with conventional techniques and attained the finest outcomes with high accuracy and less time duration.