Made this presentation for my friend for college seminar. This presentation deals with spamming & fake mails. This is just a Presentation & not full document.

1. JSS ACADEMY OF TECHNICAL EDUCATION, BANGALORE
(Affiliated to Visveshwaraya Technological University, Belgaum)
INFORMATION SCIENCE Department
Ashish Sharma
1JS08IS006

2. Technical Seminar on
MAILBOOK
A Social Network Against Spamming

3. Aim
Spam Mail
To provide a collaborative spam
Legitimate
Mail
filter over a social network by
Spam Mail
exchanging vote databases
among its users.
Legitimate Mail

4. Content
1. Introduction
2. Related work
3. Design and architecture
4. Conclusion
5. References
6. Questions and Answers

5. Introduction
Email
Spam
Spam Filters

6. Mailbook
• Users exchange databases with fingerprints
of emails identified as spam.
• Vote Databases.
• Fingerprints are the hash values of the
email’s content.
• Central Repository.
• Email Service.

7. Related Work
• White lists.
• Black lists.
• Grey lists.
• Domain key identified mail.
• Content based filtering.
• Bayesian filtering.
• Collaborative filtering.

8. Design and Architecture
• Based on social collaboration
among trusted users(friends).
• Exchange of vote databases.

9. Generic Architecture of Mailbook

10. Vote Database Exchange Among Friends

11. Logic
Implementation of the logic for database
exchange is based on:
• Trusted friends.
• Profile characteristic.
• Group membership.

12. Mailbook Functions

13. Import And Export Functions
Import
Export

14. MD-5 Message Digest Algorithm
The MD5 Message-Digest Algorithm
is a widely used cryptographic hash
function that produces a 128-bit (16-
byte) hash value.

15. Current Work
Linux Apache
LAMP
MySQL PHP

16. Linux
• Operating system
• Free and open source
• Customizable
• Necessary security features
• Programming language
support

17. Apache HTTP Server
• Web Server Software.
• Free.
• Most Popular.

18. MySQL
• Handling Database.
• Reliable and easy to use.
• Open source and free.
• More than 20 platforms.

19. PHP
• Scripting language.
• Server side technology.
• Fast and stable.
• Secure and reliable.

20. Conclusion
• Addressing the problem of spamming.
• A social network to disperse
fingerprints.
• User Friendly.
• Easy email characterization.
• Efficient design.
• Flexible.
• Global Solution.

21. References
[1] Wikipedia.2011.Whitelist.[Online] . Available: http://en.wikipedia.org/wiki/Whitelist#Email_whitelists
[2] Jaeyeon Jung and Emil Sit, “An Empirical Study of Spam Traffic and the Use of DNS Black Lists,” in Proc. 4th ACM SIGCOMM
Conference on Internet measurement, Oct. 25-27, 2004, pp.370-375.
[3] Wikipedia. 2011. DNSB. [Online] . Available: http://en.wikipedia.org/wiki/DNSBL
[4] Wikipedia. 2011. Content filtering. [Online]. Available: http://en.wikipedia.org/wiki/Content_filtering
[5] E. P. Sanz, J. M. G. Hidalgo and J. C. C. Pérez, “Email Spam Filtering,” in Advances in computers, vol 74, 2008, ch. 3, pp. 45-
114.
[6] M. R. Islam and W. Zhou, “An innovative analyzer for email classification based on grey list analysis,” in Proc. of the IFIP
International Conference on Network and Parallel Computing, Sep.18-21, 2007, pp. 176–182.
[7] Wikipedia. 2011 . Botnet, [Online]. Available: http://en.wikipedia.org/wiki/Botnet
[8] B. Leiba and J. Fento, “DomainKeys Identified mails (DKIM): Using Digital signatures for Domain Verifcation”, in CEAS 2007,
4th Conference on E-mail and Anti-Spam, Aug. 2-3, 2007.
[9] H. Esquivel, Aditya Akella and T. Mori, “On the Effectiveness of IP Reputation for Spam Filtering,” in Proc. 2nd Int. Conference
Commun. Syst. and Networks (COMSNETS), Jan. 5-9, 2010, pp. 1-10.
[10] Wikipedia. 2011 . CAPTCHA. [Online] . Available: http://en.wikipedia.org/wiki/CAPTCHA
[11] Carnegie Mellon University. 2000-2010. The Official CAPTCHA Site. [Online]. Available:
http://www.atm.comhttp://www.captcha.net
[12] A. Obied, 2007. Bayesian Spam Filtering. [Online]. Available: http://ahmed.obied.net/research/papers/spam_paper.pdf
[13] M. Sahami, S. Dumais, D. Heckerman and E. Horvitz, “A Bayesian approach to filtering junk e-mail,” in Proc. AAAI Workshop
on Learning for Text Categorization, 1998, pp. 55-62.

22. [14] E. Damiani, S. De Capitani di Vimercati, S. Paraboschi and P. Samarati, “P2P-Based Collaborative Spam Detection and
Filtering,” in Proc. 4th Int. Conference on Peer-to-Peer Computing, Aug. 25-27, 2004, pp. 176-183.
[15] Wikipedia. 2011 . MD5. [Online] . Available: http://en.wikipedia.org/wiki/MD5
[16] Wikipedia. 2011 . LAMP. [Online] . Available: http://en.wikipedia.org/wiki/LAMP_(software_bundle)
[17] Wikipedia. 2011. Linux. [Online] . Available: http://en.wikipedia.org/wiki/Linux
[18] Wikipedia. 2011. Apache HTTP Server. [Online]. Available: http://en.wikipedia.org/wiki/Apache_HTTP_Server
[19] Oracle Corporation and/or its affiliates. 2011. MySQL. [Online]. Available: http://www.mysql.com/why-mysql
[20] Wikipedia. 2011 . MySQL. [Online] . Available: http://en.wikipedia.org/wiki/MySQL
[21] The PHP Group. 2001-2011. PHP: Hypertext Preprocessor. [Online]. Available: http://gr.php.net
[22] C. Stewart, 2006. The Advantages of PHP. [Online]. Available: http://www.designersplayground.com/articles/118/1/The-
Advantages-of- PHP/Page1.html
[23] cplucpluc.com. Information on the C++ language. [Online]. Available: http://www.cplusplus.com/info
[24] Oracle. Java. [Online]. Available: http://java.com/en
[25] Python Software Foundation. 1990-2011. Python Programming Language. [Online]. Available: http://www.python.org
[26] Wikipedia. 2011 . Javascript. [Online]. Available: http://en.wikipedia.org/wiki/Javascript

23. Thank You

24. Do you still have any question ?