Bayesian filtering is one of the most famous anti-spam measures. However, there is no standard implementation for treatment of Japanese emails by Bayesian filtering. In this paper, we compare several conceivable ways to treat Japanese emails about tokenizing and corpus separation. In addition, we give experimental results and some knowledge obtained by the experiments.

Looking at today spam and phishing panorama, we are able to identify two diametrically opposed approaches. On the one hand we have general spam, which targets as much as people as possible with generic and pre-formed texts; on the other hand we have very specific emails, handcrafted to target high-value targets. While nowadays these two worlds don’t intersect at all, we envision a future where ...

Today most of the personal and professional communication is done using the electronic media such as E-Mailing, SMS etc. But these all services also suffer from the problem of unwanted messages or the communicating information called Spam. The Spam Message can be an email virus, charity latter, commercial advertisement etc. But it affects the user time, memory and the attention. In this paper, ...

In this article, we propose a spam image clustering approach that uses data mining techniques to study the image attachments of spam emails with the goal to help the investigation of spam clusters or phishing groups. Spam images are first modeled based on their visual features. In particular, the foreground text layout, foreground picture illustrations and background textures are analyzed. Afte...

This paper puts forward a hierarchical approach for categorizing emails with the ME model based on its contents and properties. This approach categorizes emails in a two-phase way. First, it divides emails into two sets: legitimate set and Spam set; then it categorizes emails in two different sets with different feature selection methods. In addition, the pre-processing, the construction of fea...

Today the major problem that the people are facing is spam mails or e-mail spam. In recent years there are so many schemes are developed to detect the spam emails. Here the primary idea of the similarity matching scheme for spam detection is to maintain a known spam database, formed by user’s feedback, to block the subsequent near-duplicate spam’s. We propose a novel e-mail abstraction scheme, ...

Today the major problem that the people are facing is spam mails or e-mail spam. In recent years there are so many schemes are developed to detect the spam emails. Here the primary idea of the similarity matching scheme for spam detection is to maintain a known spam database, formed by users feedback, to block the subsequent near-duplicate spam’s. We propose a novel e-mail abstraction scheme, w...

Email spam has rapidly expanded in recent years along with the enormous surge internet users. People are making illegal and immoral use of them. scams conduct, phishing. It is against law to send unsolicited emails dangerous links that could damage our system or try access your system. The people who unaware these main targets spammers, easily construct fake identities email addresses. In their...

In recent years email has become one of the fastest and most economical means of communication. However increase of email users has resulted in the dramatic increase of spam emails during the past few years. Data mining -classification algorithms are used to categorize the email as spam or non-spam. In this paper, we conducted experiment in the WEKA environment by using four algorithms namely I...

Spam is still an open problem from the network operator’s perspective. The common state-of-the-art strategy to place filters against spam is at the recipient’s edge. Although this strategy largely solves the spam problem from the user’s perspective – false positives/negatives may still exist – it cannot prevent spam from traversing the Internet. Consequently, with nowadays around 200 billion sp...