08-09-2014, 04:06 PM
Detecting Spam Zombies by Monitoring Outgoing Messages
Detecting Spam Zombies.pptx (Size: 160.85 KB / Downloads: 12)
ABSTRACT
Compromised machines are one of the key security threats on the Internet.
we focus on the detection of the compromised machines in a network that are involved in the spamming activities, commonly known as spam zombies.
We develop an effective spam zombie detection system named SPOT by monitoring outgoing messages of a network.
SPOT is designed based on a powerful statistical tool called Sequential Probability Ratio Test, which has bounded false positive and false negative error rates
EXISTING SYSTEM
The existing approaches are better suited for large e-mail service providers to understand the aggregate global characteristics of spamming botnets instead of being deployed by individual networks to detect internal compromised machines.
Moreover, their approaches cannot support the online detection requirement in the network environment considered in this paper.
DISADVANTAGES OF EXISTING SYSTEM
Identifying and cleaning compromised machines in a network remain a significant challenge for system administrators of networks of all sizes.
It does not support online detection requirement in the network
The existing algorithm is less effective.
PROPOSED SYSTEM
In this paper, we will develop a spam zombie detection system, named SPOT, by monitoring outgoing messages.
SPOT is designed based on a statistical method called Sequential Probability Ratio Test (SPRT)
LIST OF MODULES
Account authentication
Sending mails
SPOT detection
Capture IP
SPOT filter
SPOT results
CT detection.
PT detection
CONCLUSION
SPOT can work extremely well in the environment of dynamic IP address.
SPOT is an effective and efficient system in automatically detecting compromised machines in a network.