Email is undoubtedly one of the most important applications used to communicate over the Internet. Unfortunately, the email service lacks a crucial security mechanism: It is possible to send emails to arbitrary people without revealing one’s own identity. Additionally, sending millions of emails costs virtually nothing. Hence over the past years, these characteristics have facilitated and even ...

Spam is commonly known as unsolicited or unwanted email messages in the Internet causing potential threat to Internet Security. Users spend a valuable amount of time deleting spam emails. More importantly, ever increasing spam emails occupy server storage space and consume network bandwidth. Keyword-based spam email filtering strategies will eventually be less successful to model spammer behavi...

Categorize Emails According to Senders Liwei Wang, Li Du s Abstract People nowadays are overwhelmed by tons of coming emails everyday at work or in their daily life. The large quantities of emails keep causing confusions. Not only spam emails are considered to be ‘junk’, but also unwanted emails (e.g. advertisements) cause people to waste time on reading them. Therefore, it becomes urgent to de...

Machine learning is a branch of artificial intelligence concerned with the creation and study of systems that can learn from data. A machine learning system could be trained to distinguish between spam and non-spam (ham) emails. We aim to analyze current methods in machine learning to identify the best techniques to use in content-based spam filtering.

The email has become one of the most efficient and cost-effective methods communication in recent years. However, as number users grows, so does spam emails. Email management a big rising concern for both people companies consequence its sensitivity to abuse. Spam, or unsolicited sending unwanted messages, is example misuse. Spam defined bulk email, sent large without their consent. Half receiv...

Increased use of email in daily transactions for many businesses or general communication due to its cost-effectiveness has made emails vulnerable attacks, including spam. Spam are unsolicited messages that very similar each other and sent multiple recipients randomly. This study analyzes the Rotation Forest model modifies it spam classification problem. Also, aim this is create a better classi...

Spam related cyber crimes have become a serious threat to society. Current spam research mainly aims to detect spam more effectively. We believe the identification and disruption of the supporting infrastructure used by spammers is a more effective way of stopping spam than filtering. The termination of spam hosts will greatly reduce the profit a spammer can generate and thwart his ability to s...

In spite of the fact, a number of researchers everywhere throughout the globe are busy in broad research with the aim to overcome the problem of spam; although an effective solution is yet to be discovered. Due to the fact that spam filtering is perplexing issue, it is unrealistic to spam messages with one arrangement. As the spam emails structure is not constant, hence we require a solution wh...