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Finest Source-Based Refinery of Spam in Networks


Affiliations
1 Department of Computer Application, Angappa College of Arts and Science, Coimbatore-641105, India
     

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The Proposed spam detection project   identifies and eliminates unwanted messages by monitoring outgoing messages. The spam and zombies detection is the main challenging task in the network. In the existing system spam detection has implemented after the data received. According to the user rule and request the current system identifies the spam and zombies by monitoring every outgoing message from the sender. The SPIT technique has going to apply in the proposed project.

Keywords

SPIT, ACL, DDOS, DF, BLACK LIST, WHITELIST.
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  • Finest Source-Based Refinery of Spam in Networks

Abstract Views: 233  |  PDF Views: 1

Authors

M. Manoj
Department of Computer Application, Angappa College of Arts and Science, Coimbatore-641105, India

Abstract


The Proposed spam detection project   identifies and eliminates unwanted messages by monitoring outgoing messages. The spam and zombies detection is the main challenging task in the network. In the existing system spam detection has implemented after the data received. According to the user rule and request the current system identifies the spam and zombies by monitoring every outgoing message from the sender. The SPIT technique has going to apply in the proposed project.

Keywords


SPIT, ACL, DDOS, DF, BLACK LIST, WHITELIST.