计算机工程2011，Vol.37Issue(15)：113-115,3.DOI:10.3969/j.issn.1000-3428.2011.15.035
PKI在虚拟专用网络中的应用
Application of PKI in Virtual Private Network
摘要
Abstract
Referring to unbalanced dataset, the traditional machine learning methods will achieve biased performance. Using traditional methods, the recognition rate of minority class will be lower than the recognition rate of majority class. In this paper, based on rotation forest, it proposes an improved unbalanced dataset learning method, which is called deflection forest. It reduces data unbalance by over-sampling the data of minority class. It uses random resampling to increase diversity of samples which generate the deflection matrix and then improves the accuracy rate. Experimental results show that the deflection forest method achieves better performance, which carries out higher recognition rate of minority class and also lower recognition error rate of majority class.关键词
虚拟专用网络/公开密钥基础设施/IPSec协议/数字签名Key words
unbalanced dataset/deflection forest/integrated classifier/over-sampling分类
信息技术与安全科学引用本文复制引用
张小波,程良伦..PKI在虚拟专用网络中的应用[J].计算机工程,2011,37(15):113-115,3.基金项目
国家自然科学基金资助项目(60673132) （60673132）
国家自然科学基金广东省联合基金资助重点项目(U0935002) （U0935002）
广东省自然科学基金资助项目(8351009001000002,07117421) （8351009001000002,07117421）
广东省重大科技专项基金资助项目((2009A080207008) （(2009A080207008）
广东工业大学青年基金资助项目(405095245) （405095245）
