首页|New Machine Learning Findings from Parul University Described (Machine learning model on blockchain for secured mobile communication)
New Machine Learning Findings from Parul University Described (Machine learning model on blockchain for secured mobile communication)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news originating from Gujarat, India, b y NewsRx editors, the research stated, “The Internet of Things (IoT) is an open network model that aims to build and link the interactions between the devices a nd links.” The news editors obtained a quote from the research from Parul University: “Conv entional blockchain models aimed at increasing scalability but often it is limit ed by its capacity and performance. The machine learning algorithms aim to deter mine the parameters of the blockchain that finds the optimal value required to o btain an increased scalability without any limitations in its performance. In th is paper, a machine learning model called Block Chain-Support Vector Machine (BC -SVM) is integrated with the blockchain to improve the process of communication in a secure way. Here Modified elliptic-curve cryptography (ECC) is a public key encryption technique based on elliptic curve theory and may be utilised for cre ating cryptographic keys more quickly and efficiently, increasing security. The machine learning model optimizes the necessary security parameters required to t ransfer the data in a secure way.”
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