Detecting Spam Zombies : Computer Department Of Engineering Essay

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Detecting Spam Zombies Vivek Fernando,Siddharth Nayak,Suraj Naik Computer Department Xavier Institute Of Engineering Mumbai,India Abstract: One of the key security threats on the Internet are compromised machines which are often used to launch various security attacks such as spamming and spreading malware, DDoS, and identity theft. Spamming provides a key economic incentive for attackers to recruit a large number of compromised machines hence we focus on the detection of the compromised machines in a network that are involved in the spamming activities. These are commonly known as spam zombies. We have developed an effective detection system named SPOT which detects spam zombties by monitoring outgoing messages of a network. SPOT is designed based on a powerful statistical tool called Sequential Probability Ratio Test, which bounds false positive and false negative error rates. Keywords—Compromised machines, spam zombies, compromised machine detection algorithms. I. INTRODUCTION A major security challenge on the Internet is the existence of a large number of compromised machines. Such machines are being increasingly used to launch various security attacks such as spamming and spreading malware, DDoS, and identity theft [1][3][6]. Two natures of the compromised machines on the Internet—sheer volume and being widespread—render many existing security countermeasures less effective and hence makes defending attacks involving compromised machines extremely

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