New Machine Learning Findings from Parul University Described (Machine learning model on blockchain for secured mobile communication)
描述了Parul University的新机器学习发现(安全移动通信区块链机器学习模型)
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摘要
一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于人工智能的新研究结果已经发表。根据来自印度古吉拉特邦的新闻，B y NewsRx编辑，该研究指出，“物联网(IoT)是一个开放的网络模型，旨在建立和链接设备和链接之间的互动。”新闻编辑们从帕鲁尔大学的研究中获得了一句话：“常规区块链模型旨在提高可扩展性，但往往受到容量和性能的限制。机器学习算法旨在阻止挖掘区块链的参数，以找到在性能没有任何限制的情况下提高可扩展性所需的最优值。”将块链支持向量机(BC-SVM)与块链相结合,以提高通信过程的安全性。改进椭圆曲线密码学(ECC)是一种基于椭圆曲线理论的公钥加密技术,可以更快、更有效地提取密钥。提高安全性。机器学习模型优化了以安全方式传输数据所需的必要安全参数。
Abstract
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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