1 Poster: Zero-day Botnet Domain Generation Algorithm (DGA) Detection using Hidden Markov Models (HMMs) Yu Fu, Lu Yu, Richard Brooks Senior Member, IEEE

Source URL: www.ieee-security.org

• Botnets
• Computer network security
• Multi-agent systems
• Spamming
• Computing
• Cybercrime
• Concurrent computing
• Domain generation algorithm
• Srizbi botnet
• Hidden Markov model
• Cutwail botnet

Today’s Lecture • Finding multiple high-scoring segments • “D-segments” – relationship to 2-state HMMs • Sequence alignment & evolution

Source URL: bozeman.mbt.washington.edu

NLP Programming Tutorial 5 – POS Tagging with HMMs NLP Programming Tutorial 5 Part of Speech Tagging with Hidden Markov Models Graham Neubig

Source URL: www.phontron.com

Today’s Lecture: HMMs • Definitions • Examples • Probability calculations – WDAG – Dynamic programming algorithms:

Source URL: bozeman.mbt.washington.edu

Profile  HMMs   Tandy  Warnow   BioE/CS  598AGB   Profile  Hidden  Markov  Models   Basic  tool  in  sequence  analysis  

Source URL: tandy.cs.illinois.edu

• Bioinformatics
• Markov models

Parameter Estimation for HMMs Parameter Estimation

Source URL: cl.indiana.edu

• Markov models
• Statistics
• Applied mathematics
• Estimation theory
• Computer programming
• BaumWelch algorithm
• Expectationmaximization algorithm
• Parameter
• Hidden Markov model

Parameter Estimation for HMMs Parameter Estimation: Task and Method

Source URL: cl.indiana.edu

• Computing
• Markov models
• Statistics
• Applied mathematics
• Estimation theory
• Expectationmaximization algorithm
• Missing data
• BaumWelch algorithm
• Cp

Assignment 6 L645 / B659 Due Monday, OctoberHidden Markov Models One application of HMMs is cryptanalysis. Imagine a simple substitution code, in which every character of the English alphabet is substituted by ano

Source URL: cl.indiana.edu

• Markov models
• Viterbi algorithm
• Bigram
• Forward algorithm

LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION WITH CONTEXT-DEPENDENT DBN-HMMS George E. Dahl∗ Dong Yu, Li Deng, Alex Acero

Source URL: www.cs.toronto.edu

Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis Pedro F. Felzenszwalb1 , Daniel P. Huttenlocher2 , Jon M. Kleinberg2 1

Source URL: cs.brown.edu