Red Hat Enterprise Linux Release NotesĢ.1. ![]() The result of our experimental work showed that fine grained OS detection can be achieved for modern and mobile OSs using our approach.1.241. The tools we created also established encrypted communication using Secure Socket Layer (SSL) network protocol to investigate the effect of SSL communication on OS fingerprinting. We also employed mobile systems like smart phones and tablets to perform mobile OS fingerprinting. We used existing signature matching methods, extend it and employed machine learning techniques to detect remote operating systems with improved accuracy. In this work, we built a system where TCP/IP communication is setup between machines to capture and analyze TCP/IP packets for more accurate and fine grained OS detection using our novel packet correlation approach. ![]() ![]() The previous works that have been done on operating system detection, exploit some features of TCP/IP traffic based on a single packet. Operating System (OS) detection is one of the main concerns for computer security.
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