electronic mail spam zombies purify in email connection
Sathish Raja,S K.G.S. Venkatesan
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:1 Issue:1 Year: 06 June,2013 Pages:25-36
Abstract
Email Spammer are constantly pioneering the techniques to bypass anti-spam filters forcing many organizations to invest in spam email prevention mechanisms and solution. Traditional email spam filters aim at analyzing the email content to characterize the best features that are commonly included in email spams. However, this is observed that a crafty trick which is designed to avoid content-based filters will be endless owing to social and economic benefits of sending email spam. In view of this particular situation, there has been many research efforts towards doing email spam detection based on the reputation of the senders rather than what is contained in the email. Motivated by the fact that email spammer are prone to have unusual patterns/behavior and specific patterns of email communication, exploring the email social networks to detect email spams which has received much attention. Existing email spam detecting system aims at analyzing the IP address of e-mail to categorize the features that are commonly found e-mail spam. To resolve this problem an effective research has been made to create a solution that detects how the system generates that spam e-mail. In this paper a method is proposed that identifies the problem of spam e-mail. We present a procedure to generate the e-mail abstraction using HTML content in e-mail, and our newly devise abstraction can more effectively capture the near duplicate phenomenon of spam. This can be identified by tracking the performance of machines sending e-mail, trace the e-mail contents. Moreover, we design a complete spam detection system (A Multi-level Collaborative Spam Detection System), which possesse an efficient near-duplicates matching scheme and a progressive update scheme.
Kewords
Spam email is nothing but flooding the Internet bandwidth with multiple copies of the email message which is of same nature
Reference
1. Joe St Sauver, “Spam Zombies And Inbound Flows To Compromised Customer Systems”, 2005. 2. Nikita Spirin , Jiawei Han “Survey on Web Spam Detection: Principles and Algorithms”. 3. Malware Recon, “The Making of a Spam Zombie Army”, http://computer.org/security/.4. “Tracking Dynamic Sources of Malicious Activity at Internet-Scale” 5. John Aycock ,Nathan Friess “Spam Zombies from Outer Space”, January 2006. 6. Sumit Ganguly, Minos Garofalakis, Rajeev Rastogi, Krishan Sabnani “Streaming Algorithms for Robust, Real-Time Detection of DDoS Attacks”. 7. Zhenhai Duan, Peng Chen, Fernando Sanchez,Yingfei Dong Detecting Spam Zombies by Monitoring Outgoing Messages, 2012. 8. Y.Bhavani, P.Niranjan Reddy “An Efficient IP Traceback Throughpacket Marking Algorithm” ,2010 9. Jonathan E. Schmidt, “ Dynamic Port 25 Blocking to Control SPAM Zombies” 10. Abraham Wald "Wald Test" (1939) ABOUT THE AUTHOR: K.G.S.Venkatesan received his B.Tech degree in Computer Science & Engineering from JNT University, Hyderabad and received his M.Tech degree in Computer Science & Engineering from Bharath University. He is currently pursuing his Ph.D in Computer Science & Engineering at Bharath University, Chennai. He has 10 years of Teaching experience and has guided many B.Tech and M.Tech projects. He is having Membership in Indian Society of Technical Education (MISTE).He attended Teaching Skills Programme conducted by WIPRO MXLA (Mission 10X Learning Approach).Sathish Raja received BE degree in Computer Science & Engineering from Bharath Institute of Science and Technology, Chennai and currently pursuing his M.Tech degree in Computer Science & Engineering at Bharath University. He has 9 years of Software Development Experience in Telecom and Datacom domain
