Layout Based Spam Filtering

نویسنده

  • Claudiu N. Musat
چکیده

Due to the constant increase in the volume of information available to applications in fields varying from medical diagnosis to web search engines, accurate support of similarity becomes an important task. This is also the case of spam filtering techniques where the similarities between the known and incoming messages are the fundaments of making the spam/not spam decision. We present a novel approach to filtering based solely on layout, whose goal is not only to correctly identify spam, but also warn about major emerging threats. We propose a mathematical formulation of the email message layout and based on it we elaborate an algorithm to separate different types of emails and find the new, numerically relevant spam types. Keywords— Clustering, layout, k-means, spam.

برای دانلود 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

Layout Based Spam Filtering Claudiu

to the constant increase in the volume of information available to applications in fields varying from medical diagnosis to web search engines, accurate support of similarity becomes an important task. This is also the case of spam filtering techniques where the similarities between the known and incoming messages are the fundaments of making the spam/not spam decision. We present a novel appro...

متن کامل

A Case-Based Approach to Spam Filtering that Can Track Concept Drift

There are a few key benefits of a case-based approach to spam filtering. First, the many different sub-types of spam suggest that a local learner, such as Case-Based Reasoning (CBR) will perform well. Second, the lazy approach to learning in CBR allows for easy updating as new types of spam arrive. Third, the case-based approach to spam filtering allows for the sharing of cases and thus a shari...

متن کامل

Feature Weight Optimization Mechanism for Email Spam Detection based on Two-Step Clustering Algorithm and Logistic Regression Method

This research proposed an improved filtering spam technique for suspected emails, messages based on feature weight and the combination of two-step clustering and logistic regression algorithm. Unique, important features are used as the optimum input for a hybrid proposed approach. This study adopted a spam detector model based on distance measure and threshold value. The aim of this model was t...

متن کامل

Using Case-Based Reasoning for Spam Filtering

Spam is a universal problem with which everyone is familiar. Figures published in 2005 state that about 75% of all email sent today is spam. In spite of significant new legal and technical approaches to combat it, spam remains a big problem that is costing companies meaningful amounts of money in lost productivity, clogged email systems, bandwidth and technical support. A number of approaches a...

متن کامل

A Novel Method of Text Clustering for Chinese Spam Based on Semantic Body

The effect of spam filtering method based on statistics is not good in filtering the new-type spam with synonymous substitution and camouflage. So a new text clustering method based on Semantic Body for filtering Chinese spam is proposed. In this paper, the word sense disambiguation, lexical chain based on HowNet and statistic-based TFIDF are adopted to extract features of mails. The Semantic B...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012