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基于模拟退火算法和发送行为的垃圾邮件检测模型

张汛 刘朝晖

南华大学学报(自然科学版)2017,Vol.31Issue(1):77-80,4.
南华大学学报(自然科学版)2017,Vol.31Issue(1):77-80,4.

基于模拟退火算法和发送行为的垃圾邮件检测模型

A Spam Detection Model Based on Simulated AnnealingAlgorithm and Sending Behavior

张汛 1刘朝晖1

作者信息

  • 1. 南华大学 计算机科学与技术学院,湖南 衡阳 421001
  • 折叠

摘要

Abstract

Spam has brought serious negative impact on people's life today.Many filtering methods have been proposed,but less perfect.In this essay,a detection model based on simulated annealing algorithm and sending behavior is presented to cover some shortcomings of the existing methods.Simulated annealing algorithm can find the global optimal solution,and the convergence is strong,and the spam detection technology based on sending behavior can significantly improve the speed of the server to deal with spam.Through experiments,the recall rate of spam is significantly improved based on the model and it is more suitable for deployment in small mail server.

关键词

垃圾邮件/模拟退火算法/发送行为

Key words

spam/simulated annealing algorithm/sending behavior

分类

信息技术与安全科学

引用本文复制引用

张汛,刘朝晖..基于模拟退火算法和发送行为的垃圾邮件检测模型[J].南华大学学报(自然科学版),2017,31(1):77-80,4.

基金项目

南华大学研究生科研创新项目(2016XCX16) (2016XCX16)

南华大学学报(自然科学版)

1673-0062

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