Computer users can avoid e-mail spam in several ways: End-users can use automated e-mail filtering on their own computers. System administrators can use appropriate tools to trap e-mail spam at the mail server level, either by use of software or … Read More
E-mail spam is a subset of spam that involves sending nearly identical messages to thousands (or millions) of recipients. Perpetrators of such spam (“spammers”) often harvest addresses of prospective recipients from Usenet postings or from web pages, obtain them from … Read More
Greylisting is a simple method of defending electronic mail users against e-mail spam. In short, a mail transfer agent which uses greylisting will “temporarily reject” any email from a sender it does not recognize. If the mail is legitimate, the … Read More
DomainKeys is an e-mail authentication program developed to confirm the DNS domain of an E-mail sender along with the message integrity. The DomainKeys specification has adopted aspects of Identified Web Mail to create an enhanced protocol called DomainKeys Identified Mail … Read More
Distributed Checksum Clearinghouse (also known as DCC), is a hash sharing technique of spam e-mail detection. The fundamental logic in DCC is the fact that most spam mails have a number of copies floating about. So If 1 server finds … Read More
Context filtering is an anti-spam / mail policy method that does not deal with the contents of the mail but rather uses the context of the SMTP connection to decide whether a mail will be accepted or not. This method … Read More
Complement Set Filtering (CSF) is a method for filtering unsolicited bulk email (UBE or spam) The technique utilizes at least two email accounts: the primary account where spam and non-spam is received and secondary accounts that receive only spam. CSF … Read More
Bogofilter is a mail filter that classifies e-mail as spam or ham (non-spam) by a statistical analysis of the message’s header and content (body). The program is able to learn from the user’s classifications and corrections. It was originally written … Read More
Markovian discrimination in spam filtering is a method used in CRM114 and other spam filters to model the statistical behaviors of spam and nonspam more accurately than in simple Bayesian methods. A simple Bayesian model of written text contains only … Read More
Bayesian spam filtering is the process of using Bayesian statistical methods to classify documents into categories. Bayesian filtering was proposed by Sahami et al. (1998) and gained attention in 2002 when it was described in the paper A Plan for … Read More
Content filtering is the most commonly used group of methods to filter spam. Content filters act either on the content, the information contained in the mail body, or on the mail headers (like “Subject:”) to either classify, accept or reject … Read More
Deployed at the gateway or in front of the mail server, anti-spam appliances are hardware-based solutions integrated with on-board anti-spam software and are normally driven by an operating system optimized for spam filtering. They are generally used in larger networks … Read More
