Survey on Spam Filtering Techniques

نویسنده

  • Saadat Nazirova
چکیده

In the recent years spam became as a big problem of Internet and electronic communication. There developed a lot of techniques to fight them. In this paper the overview of existing e-mail spam filtering methods is given. The classification, evaluation, and comparison of traditional and learning-based methods are provided. Some personal anti-spam products are tested and compared. The statement for new approach in spam filtering technique is considered.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Web Spam: a Survey with Vision for the Archivist

While Web archive quality is endangered by Web spam, a side effect of the high commercial value of top-ranked search-engine results, so far Web spam filtering technologies are rarely used byWeb archivists. In this paper we make the first attempt to disseminate existing methodology and envision a solution for Web archives to share knowledge and unite efforts in Web spam hunting. We survey the st...

متن کامل

Survey of Spam Filtering Techniques and Tools, and MapReduce with SVM

Abstract Spam is unsolicited, junk email with variety of shapes and forms. To filter spam, various techniques are used. Techniques like Naïve Bayesian Classifier, Support Vector Machine (SVM) etc. are often used. Also, a number of tools for spam filtering either paid or free are available. Amongst all techniques SVM is mostly used. SVM is computationally intensive and for training it can’t work...

متن کامل

The Fight against Spam - A Machine Learning Approach

The paper presents a brief survey of the fight between spammers and antispam software developers, and also describes new approaches to spam filtering. In the first two sections we present a survey of the currently existing spam types. Some well-mapped spammer tricks are also described, although the imagination of spam distributors is endless, and therefore only the most common tricks are covere...

متن کامل

A Survey of Content-based Spam Classifiers

Unsolicited bulk e-mail (spam) is a growing problem with tangible costs felt by virtually every Internet user. There are many solutions to this problem, ranging from simple blacklisting to advanced text classification and collaborative filtering. None of these techniques provides a total solution, but new technologies and their application offer increasingly effective filters. This paper provid...

متن کامل

A Survey on Machine Learning Methods in Spam Filtering

Email spam or junk e-mail (unwanted e-mail “usually of a commercial nature sent out in bulk”) is one of the major issue of the today's Internet, that cause financial damage to companies and annoying individual users. Among the approaches developed to stop spam, filtering is an important and popular one. Common uses for mail filters include organizing incoming email and removal of spam and compu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Communications and Network

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2011