However, these objective measures fail in many situations and they can have a level of accuracy.
Traditional anti-spam techniques include the Bayesian-based filters , rule-based Scoring Systems , DNS MX Record Lookup and Reverse Lookup Systems , DNS Realtime Blackhole List (DNSRBLs) or IP Blacklists . To fight the spam, there exist many objective measures that can effectively limit the spam email impact on the end users (subjects). Spam relaying increases the distribution base and at the same time eludes and overwhelms spam detection systems . Approximately 45% - 60% of spam is now sent from compromised systems distributed over the Internet .
About 8 years ago, spam was sent by spammer’s own e-mail servers. Moreover, the association of spammers with hackers and virus writers poses a very real threat to the Internet security and availability. (Interestingly most spammers do not care whether a particular addressee receives the message they merely seek to get a sufficient percent of their postings delivered to some of the addressees.) Spam can conform to Internet technical standards and can contain no technical differences from legitimate-desired-messages. A spammer sends a large number of messages to many different recipients who have not requested the content. This phenomenon is probably one of the biggest challenges the Internet will have to face in the immediate future . Spam is a multifaceted phenomenon and therefore very complicated to address. According to the statistics from ITU (International Telecommunication Union), 70% to 80% of the present emails in Internet are spam, which has become a worldly problem to the information infrastructure . Spam is usually characterized as unsolicited commercial or bulk email, is sent in large numbers and repeatedly to individuals. Spam has been recognized as problem since 1975 . Spam, unsolicited, undesired, bulk email (or junk email), has been a significant security issue for computer users and a massive waste of time, disk spaces, and network bandwidths. More and more people depend on it to communicate. With the rapid growth of the Internet, email has become one of the most common media for us to exchange information.
They can also allow the users via the mail user agents to participate in the subjective spam filtering problem. It allows the email servers to query the system for email filtering. Another part is a set of standard web services that allow any existing email server or email client to interact with the system. A server application having extra features suitable for the enterprises and closed work groups is a second part of the system. The first is a web-based system that we have developed based on the proposed technique. The system combines several applications. In this paper, we propose an efficient spam filtering system that is based on a smart cooperative subjective technique for content filtering in addition to the fastest and the most reliable non-content-based objective methods. On the other side, the existing subjective proposals have some drawbacks like the attacks from malicious users that make them unreliable and the privacy.
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They are inaccurate and require continuous update to cope with newly invented spammer’s tricks. Objective methods based on the content filtering are time consuming and resource demanding. Objective methods suffer from the false positive and false negative classification. Recently, some cooperative subjective spam filtering techniques are proposed. Most of the spam filtering techniques are based on objective methods such as the content filtering and DNS/reverse DNS checks. Keywords: Anti-Spam System Objective Spam Filtering Cooperative Subjective Spam Filtering Web Application Web Services 1College of Computer, Qassim University, Qassim, KSAĢElectrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, EgyptĮmail: Septemrevised Januaccepted January 25, 2013
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