基于遗传算法的网络知识竞赛反作弊监督系统设计  

Design of Anti Cheating Supervision System for Network Knowledge Contest Based on Genetic Algorithm

作　　者：邓伦丹[1] 吴渝 DENG Lundan;WU Yu(College of Science and Technology,Nanchang University,Gongqingcheng Jiangxi 332020,China)

机构地区：[1]南昌大学科学技术学院,江西共青城332020

出　　处：《信息与电脑》2022年第21期145-147,共3页Information & Computer

基　　金：江西省教育厅科学技术研究项目“基于遗传算法的网络防作弊知识竞赛系统的研究与应用”(项目编号:GJJ217807)。

摘　　要：传统系统在实际应用中存在响应时间较长、误判率高以及反作弊监督效果不佳的问题,因此设计了基于遗传算法的网络知识竞赛反作弊监督系统。系统设计了数据采集装置和预警响应装置以预警竞赛数据获取和作弊行为,采用遗传算法处理分类后的数据识别作弊行为。经实验证明,设计系统响应时间较短,误判率较低,具有良好的网络知识竞赛反作弊监督效果。Because the traditional system has a long response time, a high false positive rate and poor anti cheating supervision effect in practical application, the anti cheating supervision system of network knowledge contest based on genetic algorithm is designed. Design data acquisition device and early warning response device to warn against competition data acquisition and cheating. The data are classified and processed, and genetic algorithms are used to identify cheating behaviors. The experiment proves that the design system has short response time, low false positive rate and good anti cheating supervision effect in network knowledge contest.

关 键 词：遗传算法 网络知识竞赛 监督系统 数据采集装置 预警响应装置 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]