摘要
为实时掌握新型网络稳定状况,提出抗攻击区块链框架下稳定性测评方法。从数据安全性、匿名性等维度分析区块链特征与网络结构,划分其层次;利用椭圆曲线密码机制,构建标量乘倍点与倍加的功耗模型;根据攻击步骤,计算不同操作的功耗特性差异,经过模乘与模加处理弥补差异,实现等功耗,使攻击者不能区分运算类型,以此起到抗攻击作用;在上述框架下,分析数据层、网络层与应用层的薄弱环节,从接口、采样与用户端控制三个模块设计测评系统硬件;估计通道扩频序列匹配滤波器,获得全部用户传输数据,采用Cholesky矩阵分解方式简化运算传输数据,即可实现稳定性测评。仿真结果证明,上述方法测评误差较小,且在相同信噪比情况下所需测评时间最短。
In order to grasp the stability of the new network in real time, a stability evaluation method under the anti-attack blockchain framework is proposed.From the dimensions of data security and anonymity, the characteristics and network structure of blockchain were analyzed, and its hierarchical structure was determined;The power consumption model of scalar multiplication and multiplication was constructed by using elliptic curve cryptosystem;According to the attack steps, the difference of power consumption characteristics of different operations was calculated and compensated by modular multiplication and modular addition, so that the attacker cannot distinguish the operation types.In this framework, the weak links of data layer, network layer and application layer were analyzed, and the hardware of evaluation system was designed from three modules of interface, sampling and user control;The channel spread spectrum sequence matching filter was estimated to obtain all user transmission data, and Cholesky matrix decomposition method was used to simplify the calculation of transmission data to realize stability evaluation.Simulation results show that the evaluation error of this method is small, and the evaluation time is the shortest under the same SNR.
作者
徐琴
党晓圆
XU Qin;DANG Xiao-yuan(College of Mobile Telecommunications Chongqing University of Posts and Telecom,Chongqing 401520,China)
出处
《计算机仿真》
北大核心
2021年第9期361-365,共5页
Computer Simulation
基金
重庆市教委科学技术研究项目(KJZD-K201902401)。
关键词
抗攻击区块链框架
稳定性测评
椭圆曲线密码机制
矩阵分解
功耗差异
Anti-attack blockchain framework
Stability evaluation
Elliptic curve cryptosystem
Matrix decomposition
Power consumption difference
作者简介
徐琴(1981-),女,汉族,重庆人,硕士,副教授,主要研究方向:大数据、区块链技术;党晓圆(1983-),女,汉族,甘肃张掖人,副教授,主要研究方向:多源信息融合技术、智能控制。
