高校误判垃圾邮件自动召回系统的研究与实现

垃圾邮件的误判问题一直是反垃圾邮件领域中未能得到根本解决的难点。基于清华大学邮箱系统及反垃圾邮件网关系统进行了一整年的部署和实验（2011年9月至2012年10月）,通过用户对可疑垃圾邮件点击召回的历史行为进行分析,并采用对其感兴趣的垃圾邮件进行文本相似度计算以及关键参数预测的方法来智能化预测用户对当前某一封垃圾邮件的感兴趣程度,即基于用户主观的选择和体验来帮助用户自动召回其可能感兴趣、然而却被反垃圾邮件网关误判的垃圾邮件,解决了传统过滤方法无法杜绝误判的问题。     

基于网络侦听方式的垃圾邮件无重发拦截

文章在分析了主流反垃圾邮件产品的基础上,提出了一个基于网络侦听方式的解决方案及系统的设计与实现。该系统最大限度地降低了对网络和邮件服务器性能的影响,同时能够适应高速网络环境。对垃圾邮件的分析采用特征匹配的方法以进行实时拦截,避免了异常终止TCP连接所引发的邮件重发问题。目前该系统已成功应用在工程中。     

基于贝叶斯定理的垃圾邮件分类技术研究

邮件过滤技术是反垃圾邮件的重要手段,目前对垃圾邮件的过滤主要有基于内容、基于IP地址和基于信头、信封等方法,这些方法对垃圾邮件的过滤起到了一定作用.但是由于信体是垃圾邮件的最终载体,而仅依据IP地址、信头、信封中的特征容易造成错误判断.在贝叶斯分类器的工作原理的基础上,提出了基于贝叶斯分类器的反垃圾邮件模型的原理与实现方法,将反映垃圾邮件的特征综合在一起统称为"属性",避免了单纯基于IP、信头、信封过滤的规则性太强的缺点,降低将正常邮件判断为垃圾邮件的风险.     

最小风险的Naive Bayes技术在反垃圾邮件系统中的应用

文章提出了一套更好地过滤中文垃圾邮件的方案，这套方案将利用垃圾邮件规律的规则过滤和最小风险的Naive Bayes内容过滤算法结合了起来，并根据垃圾邮件的特性做了必要的改进。并且这套方案也在Linux／Solaris系统平台下基本上完成了大部分功能的软件编程。实际电子邮件服务器上对本方案进行了测试．结果显示这套方案取得了很好的过滤效果。最小风险的Naive Bayes技术是目前最重要的反垃圾邮件技术之一。     

垃圾邮件过滤技术

电子邮件已经成为人们日常生活中通信、交流的重要手段之一,但垃圾邮件问题也日益严峻,网民平均每天收到的垃圾邮件数量已超过了正常邮件.因此目前反垃圾邮件技术的研究成为了一个热门的话题.文中介绍了基于安全认证、规则匹配和统计学习三类邮件过滤技术及应用情况,分析了过滤技术面临的挑战并指出垃圾邮件过滤的发展趋势.     

反垃圾邮件过滤技术探讨

首先分析了垃圾邮件在我国泛滥的严重性，然后列举了现今被广泛使用的反垃圾邮件过滤技术，并重点分析了贝叶斯过滤技术在反垃圾邮件实践中的应用，最后对未来反垃圾邮件过滤技术提出了展望。     

Prioritized e‐mail servicing to reduce non‐spam delay and loss: A performance analysis

This paper proposes a prioritized e‐mail servicing on e‐mail servers to reduce the delay and loss of non‐spam e‐mails due to queuing. Using a prioritized two‐queue scheme, non‐spam e‐mails are queued in a fast queue and given higher service priority than spam e‐mails that are queued in a slow queue. Four prioritized e‐mail service strategies for the two‐queue scheme are proposed and analyzed. We modeled these four strategies using discrete‐time Markov chain analysis under different e‐mail traffic loads and service capacities. Non‐spam e‐mails can be delivered within a small delay, even under heavy e‐mail loadings and high spam‐to‐non‐spam a priori. Results from our analysis of the two‐queue scheme show that it gives non‐spam delay and loss probability two orders of magnitude smaller than the typical single‐queue approach during heavy spam traffic. Moreover, prioritized e‐mail servicing protects e‐mail servers from spam attacks. Copyright © 2007 John Wiley & Sons, Ltd.     

基于贝叶斯方法的一种垃圾邮件过滤的实现

随着Internet的迅速发展，电子邮件的应用变得十分广泛，但是许多无用、有害的信息也随之而来。文章通过对垃圾邮件的分析与处理，运用贝叶斯方法建立一个自适应性又能够个性化的自动邮件过滤系统。该系统可以较为容易地识别出垃圾邮件，降低误判率。     

基于邻近类别分类的邮件过滤系统设计

论文提出了一种基于邻近类别分类的邮件过滤系统模型,并介绍了系统涉及到的文本特征选择、贝叶斯分类算法等关键技术,最后给出了评价方法与实验结果。结果表明,该方法能够显著地提高系统对于垃圾邮件的查准率。     

An Improved Bayesian with Application to Anti-Spam Email

Along with the wide application of e-mail nowadays, many spam e-mails flood into people‘s email-boxes and cause catastrophes to their study and life. In anti-spam e-mails campaign, we depend on not only legal measures but also technological approaches. The Bayesian classifier provides a simple and effective approach to discriminate classification. This paper presents a new improved Bayesian-based anti-spam e-mail filter. We adopt a way of attribute selection based on word entropy, use vector weights which are represented by word frequency, and deduce its corresponding formula. It is proved that our filter improves total performances apparently in our experiment.     

Spam: One Pozzled Problem for E-Commerce

E-commerce has advantages of low bargaining cost, full field service, and convenient. Its development forms and promotes the key factor of the global economic growth, and the security problem of e-commerce becomes more and more important thereupon. It is the subject of a great meaning to structure the safe, convenient e-commerce running environment. The task of anti-spam is a concrete content among them. This paper discusses the source and danger of spam, and the precautionary and radical cure measures of spam are put forwarded, and the technologies of the anti-spam are discussed especially.     

灰名单技术在电子邮件系统中的应用研究

随着Internet的不断发展,垃圾邮件泛滥的问题日趋严重。因而,包括灰名单在内的众多反垃圾邮件技术也应运而生。论文介绍了灰名单技术的工作原理及其优点,并就灰名单技术存在的问题进行了分析。     

Spam: One Puzzled Problem for E-Commerce

E-commerce has advantages of low bargaining cost, full field service, and convenient. Its development forms and promotes the key factor of the global economic growth, and the security problem of e-commerce becomes more and more important thereupon. It is the subject of a great meaning to structure the safe, convenient e-commerce running environment. The task of anti-spam is a concrete content among them. This paper discusses the source and danger of spam, and the precautionary and radical cure measures of spam are put forwarded, and the technologies of the anti-spam are discussed especially.     

Spam:One Puzzled Problem for E-Commerce

E-commerce has advantages of low bargaining cost, full field service, and convenient. Its development forms and promotes the key factor of the global economic growth, and the security problem of e-commerce becomes more and more important thereupon. It is the subject of a great meaning to structure the safe, convenient e-commerce running environment. The task of anti-spam is a concrete content among them. This paper discusses the source and danger of spam, and the precautionary and radical cure measures of spam are put forwarded, and the technologies of the anti-spam are discussed especially.     

怎样评判优秀的大容量电子邮件系统

在中国，邮件服务已是各ISP、综合性网站和专业性网站的必备项目，收发邮件已成为中国网民上网的首要理由。大容量支持且高效、可靠的邮件系统应具有的标准主要有：安全性和垃圾邮件的防范、可靠性、高效灵活、可扩展性、用户的自我管理和测试及售后支持等。     

一种基于人工免疫的垃圾邮件过滤算法

随着电子邮件日益广泛的使用,如何有效地解决严重的垃圾邮件问题已成为一个亟待解决的问题。受生物免疫系统自我保护机制的启发,提出了一种基于人工免疫的垃圾邮件过滤算法。在掌握现有信息处理技术方法的前提下,针对现有信息处理技术存在的问题,设计并通过仿真分析了系统的动态性与自适应性性能,并从理论和实验两个方面验证了这种方案的可行性与有效性。     

基于文本分类技术的垃圾邮件识别系统

文章介绍了一个基于文本分类技术识别垃圾邮件系统的体系结构，并介绍了该系统涉及到的中文信息处理、文本特征选取、朴素贝叶斯分类器等关键技术。最后，文章给出了针对部分垃圾邮件的处理结果。结果表明，该方法对于垃圾邮件的识别，具有较好的效果。     

Filtering spam from bad neighborhoods

One of the most annoying problems on the Internet is spam. To fight spam, many approaches have been proposed over the years. Most of these approaches involve scanning the entire contents of e-mail messages in an attempt to detect suspicious keywords and patterns. Although such approaches are relatively effective, they also show some disadvantages. Therefore an interesting question is whether it would be possible to effectively detect spam without analyzing the entire contents of e-mail messages. The contribution of this paper is to present an alternative spam detection approach, which relies solely on analyzing the origin (IP address) of e-mail messages, as well as possible links within the e-mail messages to websites (URIs). Compared to analyzing suspicious keywords and patterns, detection and analysis of URIs is relatively simple. The IP addresses and URIs are compared to various kinds of blacklists; a hit increases the probability of the message being spam. Although the idea of using blacklists is well known, the novel idea proposed within this paper is to introduce the concept of ‘bad neighborhoods’. To validate our approach, a prototype has been developed and tested on our university's mail server. The outcome was compared to SpamAssassin and mail server log files. The result of that comparison was that our prototype showed remarkably good detection capabilities (comparable to SpamAssassin), but puts only a small load on the mail server. Copyright © 2010 John Wiley & Sons, Ltd.     

垃圾邮件的长尾现象分析及应用

随着互联网的发展,网络应用越来越广泛,电子邮件已经成为人们日常生活中通信和交流的重要手段之一,但垃圾邮件和病毒邮件问题也日益严峻,每天收到的垃圾邮件和病毒邮件数量已经超过了正常邮件,严重影响了用户对电子邮件的正常使用。文中从长尾理论的概念入手,简单介绍了长尾理论的应用,通过对过滤的垃圾邮件和病毒邮件进行统计和分析,揭示了垃圾邮件和病毒邮件也具有长尾现象,从中得出了防止和控制垃圾邮件和病毒邮件的新方法和新途径。     

基于主题模型的垃圾邮件过滤系统的设计与实现

垃圾邮件过滤技术在保证信息安全、提高资源利用、分拣信息数据等方面都发挥着重要作用。然而,垃圾邮件的出现影响了用户的体验,并且会造成不必要的经济与时间损失。针对现有的垃圾邮件过滤技术的不足,基于多个主题词理论,构建了基于朴素贝叶斯的垃圾邮件分类方法。在邮件主题获取中,采用主题模型LDA得到邮件的相关主题及主题词;并进一步采用Word2Vec寻找主题词的同义词和关联词,扩展主题词集合。在邮件分类中,对训练数据集进行统计学习得到词语的先验概率;基于扩展的主题词集合及其概率,通过贝叶斯公式推导得到某个主题和某封邮件的联合概率,以此作为垃圾邮件判定的依据。同时,基于主题模型的垃圾邮件过滤系统具有简洁易应用的特点。通过与其他典型垃圾邮件过滤方法的对比实验,证明基于主题模型的垃圾邮件分类方法及基于Word2Vec的改进方法均能有效提高垃圾邮件过滤的准确度。