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In the Internet compromised machines are the key security threats; it is used to spread various security attacks like spamming and spreading malware. That spamming activities provides a key incentive to recruit the more number of compromised machines, so the authors developed an effective spam zombie's detection system for detecting an compromised machine in a network. SPOT is called Sequential Probability Ratio Test. It is an spam zombie detection system by monitoring outgoing messages. this has bounded false positive and false negative error rates. In addition, they also compare the performance of SPOT with two other spam zombie detection algorithms based on the number and percentage of spam messages forwarded by internal machines, respectively, and show that SPOT outperforms these two detection algorithms.
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