面向密码系统的智能预测模型构建技术研究  

Research on Building Technology of Intelligent Prediction Model for Cryptographic System

作　　者：陈海英 程教育 潘丽娟 CHEN Haiying;CHENG Jiaoyu;PAN Lijuan(No.30 Institute of CETC,Chengdu Sichuan 610041,China)

机构地区：[1]中国电子科技集团公司第三十研究所,四川成都610041

出　　处：《信息与电脑》2023年第14期21-24,28,共5页Information & Computer

摘　　要：随着信息技术的发展,密码系统在保障信息安全方面发挥着越来越重要的作用。针对现有公开网络系统预测模型仅能预测单一安全风险事件的问题,文章提出面向密码系统的智能预测模型构建技术,通过构建数据熵计算、风险评估、深度学习等多元化智能预测模型,提升密码系统安全性预测的准确性,以协助防御指挥人员和运维人员提前发现潜在的安全风险。With the development of information technology,password systems are playing an increasingly important role in ensuring information security.In response to the problem that existing public network system prediction models can only predict a single security risk event,the article proposes an intelligent prediction model construction technology for cryptographic systems.By constructing diversified intelligent prediction models such as data entropy calculation,risk assessment,and deep learning,the accuracy of cryptographic system security prediction is improved to assist defense commanders and maintenance personnel in discovering potential security risks in advance.

关 键 词：密码系统 智能预测 风险评估 深度学习 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]