On October 28th, 2011, Intuidex, Inc.'s founder and CEO, Dr. William M. Pottenger as well as Becker Polverini of the Intrusion Detection Systems Lab at Columbia University presented at Nato.s Tide Sprint Conference, presenting a paper on Chinese censorship. The abstract reads as follows: "The Chinese government restricts access to religious, political, and pornographic content through the use of an intricate system of surveillance and censorship infrastructure. This infrastructure creates patterns that seem anomalous when compared to normal Chinese Internet traffic. Previous detection methods could neither detect zero-day attacks nor lower false-positives without first observing the attack and, later, collecting a large amount of training data. By using clustering, a technique from machine learning, fast detection of forged packets from Chinese government censorware becomes tractable. These new techniques expose previously hidden examples of sophisticated man-in-the-middle (MITM) attacks, and the algorithms used in these attacks. This paper provides both a methodology for using anomaly detection algorithms on Chinese censorware as well as examples of detected patterns. We provide circumvention strategies through the lens of exploiting computational complexity bottlenecks intrinsic to infrastructure required to censor the Internet for 250 million users. Lastly, approaches for building detectors for enterprise and civilian networks, like the power-grid, are discussed."