![Introduction
Spam-reduction techniques have developed rapidly over the last few
years, as spam volumes have increased. We believe that the spam
problem requires a multi-faceted solution that combines a broad array of
filtering techniques with various infrastructural changes, changes in
financial incentives for spammers, legal approaches, and more [1].
This paper describes one part of a more comprehensive anti-spam
reSpamGuru, a collaborative anti-spam filter that combines several
learning, tokenization, and user interface elements to provide enterprise-
wide spam protection with high spam detection rates and low false-
positive ratesdelivery system](https://image.slidesharecdn.com/cnsantispamtechniques-230126062627-3f7917b7/85/CNS-ANTI-SPAM-TECHNIQUES-pptx-3-320.jpg)
![Propose system
Various anti-spam techniques are used to prevent email spam
(unsolicited bulk email).No technique is a complete solution to the
spam problem, and each has trade-offs between incorrectly rejecting
legitimate email (false positives) as opposed to not rejecting all spam
email (false negatives) – and the associated costs in time, effort, and
cost of wrongfully obstructing good mail.[1]Anti-spam techniques can
be broken into four broad categories: those that require actions by
individuals, those that can be automated by email administrators,
those that can be automated by email senders and those employed by
researchers and law enforcement officials.](https://image.slidesharecdn.com/cnsantispamtechniques-230126062627-3f7917b7/85/CNS-ANTI-SPAM-TECHNIQUES-pptx-4-320.jpg)
CNS ANTI SPAM TECHNIQUES.pptx
- 1. BAPUJI INSTITUTE OF ENGINEERING AND TECHNOLOGY CNS MINI PROJECT ON ANTI SPAM TECHNIQUES PROJECT GUIDE PROJECT BY SHWETHA G MAM AKHIL.A.K SHRIKAR.H.M SURYA.B.M SANJAYA.M
- 2. Abstract The following presentation is a basic guide line to antispam technique Electronic mail (E-mail) is an essential communication tool that has been greatly abused byspammers to disseminate unwanted information (messages) and spread malicious contents to Internet users. CurrentInternet technologies further accelerated the distribution of spam. Spam-reduction techniques have developed rapidly over the last few years, as spam volumes have increased. We believe that no one anti- spam solution is the “right” answer, and that the best approach is a multifaceted one, combining various forms of filtering with infrastructure changes, financial changes, legal recourse, and more, to provide a stronger barrier to spam than can be achieved with one solution alone.
- 3. Introduction Spam-reduction techniques have developed rapidly over the last few years, as spam volumes have increased. We believe that the spam problem requires a multi-faceted solution that combines a broad array of filtering techniques with various infrastructural changes, changes in financial incentives for spammers, legal approaches, and more [1]. This paper describes one part of a more comprehensive anti-spam reSpamGuru, a collaborative anti-spam filter that combines several learning, tokenization, and user interface elements to provide enterprise- wide spam protection with high spam detection rates and low false- positive ratesdelivery system
- 4. Propose system Various anti-spam techniques are used to prevent email spam (unsolicited bulk email).No technique is a complete solution to the spam problem, and each has trade-offs between incorrectly rejecting legitimate email (false positives) as opposed to not rejecting all spam email (false negatives) – and the associated costs in time, effort, and cost of wrongfully obstructing good mail.[1]Anti-spam techniques can be broken into four broad categories: those that require actions by individuals, those that can be automated by email administrators, those that can be automated by email senders and those employed by researchers and law enforcement officials.
- 5. Methods are used in Anti-spam Software to get rid of spam CONTENTS AUTHENTICATION CHALLENGE/RESPONSE SYSTEM CHECKSUM-BASED FILTERING COUNTRY-BASED FILTERING DNS-BASED BLOKLISTS URL FILTERING STRICT ENFORCEMENT OF RFC STANDARD HONEYPOTS HAM PASSWARD
- 6. Conclusion Email spam has been the focus of studies for a long time. Though there are many different techniques to block spam email messages to reach users inbox, filtering is the most commonly used mechanism and has gained success to some extent. Given the large number of usage of email worldwide, email spam is still plentiful and scale of the problem is enormous. Researchers and organisations make the filers smart and self-learning but spammers are a step ahead. They keep on finding techniques to deceive the filters and their learning mechanisms. Hence, the problem still remains giving scope for researchers to work in the area. This work is an effort in the same scope to reduce false negatives/spam in the inbox of the users which has deceived the organisational filters.
- 7. Thankyou