Filtering of spam emails is a significant operation in email system. The efficiency of this process is determined by many factors such as number of features, representation of samples, classifier etc. This study covers all these factors and aims to find the optimal settings for email spam filtering. Twelve feature selection methods extensively used in text categorization are implemented to synt...

Corporate mail services are designed to perform better than public mail services. Fast mail delivery, large size file transfer as an attachments, high level spam and virus protection, commercial advertisement free environment are some of the advantages worth to mention. But these mail services are frequent target of hackers and spammers. Distributed Denial of service attacks are becoming more c...

This paper presents a hybrid Bayesian algorithm using Swarm intelligence to recognize and block SPAM Emails. Electronic mail is widely used for personal and business communication. Due to low cost communication by using emails for sender, several people and companies use it to quickly distribute unsolicited bulk messages, also called spam, to a large number of recipients. Due to unnecessary tra...

Spam is commonly defined as unwanted e-mails and it became a global threat against e-mail users. Although, Support Vector Machine (SVM) has been commonly used in e-mail spam classification, yet the problem of high data dimensionality of the feature space due to the massive number of e-mail dataset and features still exist. To improve the limitation of SVM, reduce the computational complexity (e...

This article presents an extensive characterization of a spam-infected e-mail workload. The study aims at identifying and quantifying the characteristics that significantly distinguish spam from non-spam (i.e., legitimate) traffic, assessing the impact of spam on the aggregate traffic, providing data for creating synthetic workload models, and drawing insights into more effective spam detection...

As rapid growth over the Internet nowadays, electronic mail (e-mails) has become a popular communication tool. However, junk mail also, known as spam has increasingly become a part of life for users as well as internet service providers. To address this problem, many solutions have been proposed in the last decade. Currently, content-based anti-spam filtering methods are an important issue; the...

Email, which stands for electronic mail, is a form of digital communication between two or more individuals. These technological instruments that facilitate can have positive and negative impact on our lives due to junk e-mails, widely known as spam mail. messages, are typically delivered commercial purposes by organizations/individuals indirect direct benefits, not only distract people but als...

Problem statement: Spam is an irrelevant or inappropriate message sent on the internet to a large number of newsgroups or users. A spam word is a list of well-known words that often appear in spam mails. Bloom Filter (BF) is used for identification of spam word. Approach: BF is a simple but powerful data structure that can check membership to a static set. The trade-off to use BF is a certain c...

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...