Welcome to CS-SEC

Welcome to the website for the Computer Science-Cybersecurity (CS-SEC) program at Taylor University. This program is part of the department of Computer Science and Engineering (CSE).

What’s Happening?

Following is a list of recent project and news items:

  • CERIAS Symposium 2018

    Dannie M. Stanley · Apr 2018
    thumbnail This week eight students ventured with me to Purdue University in West Lafayette, IN, to attend the 19th annual CERIAS Security Symposium. As a graduate student at Purdue I was heavily involved with CERIAS, so the trip was both highly relevant to our students and a good chance for me to reconnect with cybersecurity colleagues. Symposium presenters...
  • Taylor Gets $75k Grant Extension from Lockheed Martin for Malware Research

    James R. Garringer · Mar 2018
    Taylor University News
    thumbnail Aerospace and defense industry company Lockheed Martin has granted a $75,000 renewal of a grant to the Taylor University Computer Science (CSE) Department as part of a multi-year partnership to create cybersecurity solutions. The grant comes a little more than a year after the preliminary $100,000 grant from Lockheed Martin Advanced Technology Labs...
  • Cybersecurity Lecture Asks Big Questions

    Hannah Stumpf · Feb 2018
    The Echo
    thumbnail On Feb. 2, Taylor University welcomed Grant Hollis (‘04), lead research scientist with Lockheed Martin Advanced Technology Laboratories (LM ATL), to speak on current events in cybersecurity and to raise awareness for Taylor’s new major. Hollis worked part-time as a system administrator for Taylor’s computer science department....
  • Students Present Malware Research in Washington DC

    Dannie M. Stanley · Dec 2017
    thumbnail Two professors and five students traveled to Washington, D.C. this week to present their work in malware research to Lockheed Martin Advanced Technology Labs (ATL). The work was sponsored by ATL and carried out by three professors and 14 computer science students during 2017. All five students in attendance took part in the presentation and were...
  • Feature Selection for Malware Classification

    Mitchell Mays, Noah Drabinsky, Dr. Stefan Brandle · Apr 2017
    28th Modern Artificial Intelligence and Cognitive Science Conference (MAICS)
    thumbnail In applying machine learning to malware identification, different types of features have proven to be successful. These features have also been tested with different kinds of classification methodologies and have had varying degrees of success. Every time a new machine learning methodology is introduced for classifying malware, there is the...
  • Computer Science Major to Present Senior Research

    Emily Rachelle Russell · Apr 2017
    The Echo
    thumbnail Computer science senior Mitchell Mays will present his research on malware classification at two cybersecurity events in Indiana this April. Senior Mitchell Mays’ research applies facial recognition methods to malware classification (photo by Hannah Bolds). Purdue University hosted their annual Center for Education and Research in...

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