分布式网络信息数据防篡改方法研究

Grey neural network model for prediction of carbon emissions

摘要:

为增加分布式网络的抗攻击能力,防止信息数据被篡改,需要对分布式网络信息数据防篡改方法进行研究。当前使用的方法,在发展迅速的分布式网络中,出现不适应当前网络的问题。为此,提出一种基于比较型的分布式网络信息数据防篡改方法。该方法使用改进后的比较型校验算法对分布式网络信息数据进行校验,再使用RSA加密算法的公钥和私钥两种密钥对分布式网络信息数据进行加密和解密,并设RDTP网络协议,协议分为分布式网络维护更新、网络节点睡眠调度、分布式网络节点可靠信息数据转发三个阶段,通过信息数据校验、信息数据加密和RDTP协议三个部分共同协作保证分布式网络的安全,防止分布式信息数据被篡改。实验证明,该方法增强分布式网络抗攻击能力,有效的防止分布式网络信息数据被篡改情况的发生。

Abstract:

Abstract:In order to increase the anti attack capability of distributed network, information to prevent data from being tampered with, the need for information and data distributed network tamper proof methods. Methods currently used in distributed network, rapid development, appear not adapt to the current network problems. Therefore, proposes a distributed network information data type based on tamper proof methods. The method for checking data distributed network using the improved type checking algorithm, encryption and decryption of data distributed network using RSA encryption algorithm, public key and private key two keys, and set up the RDTP network protocol, the protocol is divided into distributed network Maintain and update, network node sleep scheduling, distributed network nodes and reliable data forwarding information in three stages, through the information data check, information encryption and RDTP protocol of three parts work together to ensure the distributed network security, distributed information to prevent data from being tampered with. The experimental results show that this method enhances the distributed network anti attack capability, effectively prevent the occurrence of distributed network information data tampering case.