These predictors, called ε-machines, are a subset of a well known statistical model class called the Hidden Markov Model (HMM). Despite being a subset, ε-machines have several important advantages over traditional HMMs. This dissertation illustrates these advantages by applying ε-machines to several problems in computer security: anomaly-based intrusion detection in High Performance Computing (HPC) environments, automated protocol reverse engineering, and structural drift.

“Nolly, dear?” murmured Nancy in a gentle voice; “Nolly?”

Remember [George H. W.] Bush’s response to the clamor to do something about assault weapons after a lunatic with a Chinese-made AK-47 massacred a playgroundful of children in Stockton, Calif.

Not seldom in this life, when, on the right side, fortune's favourites sail close by us, we, though all adroop before, catch somewhat of the rushing breeze, and joyfully feel our bagging sails fill out.