This paper attempts to develop an algorithm to recognize spam domains using data mining techniques with the focus on law enforcement forensic analysis. Spam filtering has been the major weapon against spam, but failed to reduce the number of spam emails sent to an indiscriminate set of recipients. The proposed algorithm accepts as input, spam mails of personal account and extracts features such...

Spam Revisited ABSTRACT Even though unsolicited commercial e-mail or Spam continues to be a major problem, very little academic research has focused on it. Notable exceptions include The purpose of this paper is to provide a comprehensive overview of the Spam problem and a critical analysis of the solutions. We begin with a definition of Spam. This is followed by an analysis of the pernicious i...

Spam messes up user’s inbox, consumes network resources and spread worms and viruses. Spam is flooding of unsolicited, unwanted e mail. Spam in blogs is called blog spam or comment spam.It is done by posting comments or flooding spams to the services such as blogs, forums,news,email archives and guestbooks. Blog spams generally appears on guestbooks or comment pages where spammers fill a commen...

Once an email problem, spam has nowadays branched into new territories with disruptive effects. In particular, spam has established itself over the recent years as a ubiquitous, annoying, and sometimes threatening aspect of online social networks. Due to its prevalent existence, many works have tackled spam on Twitter from different angles. Spam is, however, a moving target. The new generation ...

The development of telecom network and Internet provides effective ways for communication. As an important way in communication, Short Messaging Service (SMS) via both telecom network and Internet has played an increasing important role in daily life. However, it usually suffers from spam SMS that causes misunderstanding and cheat. The highly varying content, network environment make the identi...

IP Address blacklisting [1, 2] works by storing a list of the origin of known spam and then ignoring further email sent from that IP address, under the assumption it is also spam. This approach has two problems: spammers are able to circumvent it by regularly switching IP addresses, and after spam has been sent from an IP address hijacked by a spammer, email sent by the unsuspecting computer us...

Spam identification is crucial in implementing an effective email filtering system, while spam recognization has different properties comparing with normal text recognization. In this paper, we present three different classifiers with detailed analysis on various training data set of the given spam database. We then combine these classifiers into a mixture of expert system which yields overall ...

In this paper, a study on the classification performance of a vector space model (VSM) and of latent semantic indexing (LSI) applied to the task of spam filtering is summarized. Based on a feature set used in the extremely widespread, de-facto standard spam filtering system SpamAssassin, a vector space model and latent semantic indexing are applied for classifying e-mail messages as spam or not...

We present a comprehensive review of the most effective content-based e-mail spam filtering techniques. We focus primarily on Machine Learning-based spam filters and their variants, and report on a broad review ranging from surveying the relevant ideas, efforts, effectiveness, and the current progress. The initial exposition of the background examines the basics of e-mail spam filtering, the ev...

Electronic mail being one of the most prevalent methods for exchange of digital messages has been facing the biggest threat that is spam. Since the text spam can be easily detected so a new variant of spamming came into being. The new variant of spam is the image spam that is the trending method of spamming. This paper investigates the several classifiers used in the image spam classification l...