Behavioral analysis of network traffic for detecting advanced cyber-threats
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Internet miscreants continue to spread malware on thousands of users' machines and they have become stealthier than ever before. Current prevention and detection technologies to protect users and networks from the threat of cyber attacks are lagging behind and becoming frustratingly useless. In this research, we tackle the problem of dealing with cyber criminals by introducing advanced and novel detection technologies. We present detailed measurement analysis of real-world malicious ecosystems that are utilized to distribute malware nowadays. In addition, we propose various state-of-the-art systems to fight against the spread of malice on the Internet, deploy our systems in real-world operative environments, and show the effectiveness and advantages of our design. We cover numerous aspects of today's security concerns ranging from P2P applications to malware downloads and Command and Control domains.