基于区块链的大型社交类网游敏感信息数据挖掘框架  

Data mining framework for sensitive information of large-scale social online games based on blockchain

作　　者：白杰 杜彦辉[1] BAI Jie;DU Yanhui(College of Information Network Security,People’s Public Security University of China,Beijing 100038,China;College of International Education,Wenzhou University,Wenzhou 325035,China)

机构地区：[1]中国人民公安大学信息网络安全学院,北京100038 [2]温州大学国际教育学院,浙江温州325035

出　　处：《西安理工大学学报》2021年第3期397-402,共6页Journal of Xi'an University of Technology

基　　金：国家重点研发计划重点专项项目(2016YFB0801105)。

摘　　要：本文针对社交类网游中敏感信息识别处理体系展开研究,提出了区块链模式下网游敏感信息即时数据挖掘框架。选取某大型社交网游聊天室数据库进行测试,采用基于Python的SKLearn库进行数据预处理,通过TensorFlow实现模型训练和验证。结果表明:针对网游语境中的短文本识别,TextCNN的准确率高于朴素贝叶斯、CNN两种模型5%以上,因此在模型数据层中引入TextCNN模型能够满足大型网游中敏感信息识别高效、精准的要求。结论证明,区块链模式下的网游敏感信息挖掘框架具有联盟链的层级管理优势、分布式账本对信息传播全程留痕的特性,并能通过智能合约和共识机制提升合约执行力。This paper studies the sensitive information recognition and processing system in social online games.A real-time data mining framework for sensitive information on online games in the blockchain mode is proposed.A large-scale social online game chat room database is selected for testing,with SKLearn library based on Python is used for data preprocessing.The model training and verification are implemented through Tensorflow.The results show that the accuracy of TextCNN is over 5%higher than that of Naive Bayes and CNN models for short text recognition in online game context,so TextCNN model can meet the requirements for high efficiency and accuracy of sensitive information recognition in large-scale online games.The conclusion proves that the blockchain-based online game sensitive information mining framework has the advantage of alliance chain hierarchical management,the characteristics of the distributed ledgers leaving traces in the whole process of information dissemination,and enhanced contract enforcement through the smart contracts and consensus mechanisms.

关 键 词：网络敏感信息 社交类网游 区块链模型 深度学习 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]