基于分散加载的网络密文数据防窃取方法研究

Research on Anti Stealing Method of Network Ciphertext Data Based on Distributed Loading

针对传统的网络密文防窃取方法的漏判率、误判率较高问题,本文提出一种基于分散加载的网络密文数据防窃取方法,根据分散加载原理能够执行镜像文件划分成指定的分区,且需要定位指定的存储物理地址依据ARM连接时的存储器分配方案,把对应的代码以及数据利用加载地址将其拷贝至运行地址上。本文方法最终通过元组级加密方式,可以抵抗统计攻击以及代替密文的攻击,能够防止网路数据密文被窃取。通过实验证明,本文方法与传统方法对比,本文方法不管误判率、漏判率都要低于传统方法,正确率高于传统方法,且整体性能较高。

In view of the high rate of missing and misjudgment in the traditional network ciphertext anti stealing method,this paper proposes a network ciphertext data anti stealing method based on decentralized loading.According to the principle of decentralized loading,the image file can be divided into designated partitions,and the designated storage physical address needs to be located.According to the memory allocation scheme when arm is connected,the corresponding code and data are allocated Use the load address to copy it to the run address.Finally,by means of tuple level encryption,this method can resist the attacks of statistics and ciphertext substitution,and can prevent the network data ciphertext from being stolen.The experimental results show that compared with the traditional method,the method in this paper has lower error rate and missing rate,higher accuracy than the traditional method,and higher overall performance.