基于区块链的智能手机异常代码检测方法  

Smartphone Abnormal Code Detection Method Based on Blockchain

作　　者：丁小娜 欧阳晨 DING Xiaona;OUYANG Chen(School of Computer and Software Engineering,Sias University,Zhengzhou Henan 451150,China;Henan Intelligent Manufacturing and Digital Twin Engineering Research Center,Zhengzhou Henan 451150,China)

机构地区：[1]郑州西亚斯学院计算机与软件工程学院,河南郑州451150 [2]河南省智能制造数字孪生工程研究中心,河南郑州451150

出　　处：《信息与电脑》2024年第2期212-214,共3页Information & Computer

基　　金：郑州西亚斯学院2023年度科研经费资助项目“基于区块链的智能手机安全风险分析与防护策略研究”(项目编号2023-D032)。

摘　　要：现有异常代码检测方法只能提取节点的单一特征,导致准确率不高。为解决这一问题,提出一种基于区块链的智能手机异常代码检测方法。首先,利用区块链技术获取手机异常节点,并提取节点的多种特征;其次,建立异常代码判定函数,实现智能手机异常代码检测。最后,利用实验对所提方法进行验证。实验结果显示,所提方法可检测出多种异常代码,且其检测准确率均高于94.3%,优于对比方法,具有实际应用价值。Due to the fact that existing methods can only extract a single feature of a node,the accuracy of anomaly code detection is not high.To address this issue,this paper proposes a smartphone anomaly code detection method Based on Blockchain.Firstly.the blockchain technology is used to obtain abnormal mobile phone nodes,and multiple features are extracted from the nodes.Then,the abnormal code determination function is established to detect abnormal smart phone codes.Finally,experiments are used to verify the progressiveness of the proposed method.The experimental results show that the proposed method can detect various abnormal codes,and its detection accuracy is higher than 94.3%,which is better than the comparison method and has practical application value.

关 键 词：区块链技术 智能手机 异常代码 判定函数 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]