Security Analytics

The security analytics modules page. By security analytics we mean statistical, data mining, natural language processing, and machine learning techniques for security problems and challenges.

The Security Analytics team consists of: Professors Ping Chen (University of Massachusetts - Boston),  Lila Ghemri (Texas Southern University), Stephen Huang (University of Houston), and Rakesh Verma (University of Houston), and the following consultants: Professor Wenyaw Chan (University of Texas Health Science Center), Dr. Siddhartha Dalal and Professor Ricardo Vilalta (University of Houston). 

We are working on five modules in this area: 

  1. Natural Language Processing Techniques for Security
  2. Data Mining for Security
  3. Machine Learning for Security
  4. Statistical Techniques for Security
  5. Privacy Preservation in Data Mining

We organized the 2015 ACM International Workshop on Security and Privacy Analytics (IWSPA 2015, colocated with ACM CODASPY 2015) in San Antonio on March 4, 2015. More details about this workshop along with some videos are available here

Module Outlines:

  1. Natural Language Processing Techniques for Security
  2. Data Mining for Security
  3. Machine Learning for Security
  4. Statistical Techniques for Security
  5. Privacy Preservation in Data Mining

Modules (Lectures/Slides): [Work in Progress] 

Supporting materials for the modules are available for instructors interested in teaching these modules.  Please contact either rverma@uh.edu or any instructors listed with the module titles.

  1. Natural Language Processing Techniques for Security
  2. Data Mining for Security
  3. Machine Learning for Security
  4. Statistical Techniques for Security
  5. Privacy Preservation in Data Mining

Evaluation forms are available here for both Instructors and Students to provide feedback.