Finding a Learning Community in Cybersecurity – CF008

This week on Cyber Frontiers Christian Johnson and Ashton Webster, hosted by Jim Collison, explain the importance of finding productive communities to learn and hone in your cybersecurity skills.  They also discuss the many available online and offline resources from which to gain additional insight about the current state of the art in digital security.

Cyber Frontiers is all about Exploring Cyber security, Big Data, and the Technologies Shaping the Future Through an Academic Perspective!   Christian Johnson, a student at the University of Maryland will bring fresh and relevant topics to the show based on the current work he does.

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MDC3 – Maryland Cyber Challenge

The Maryland Cyber Challenge (MDC3) is a statewide cyber competition and conference designed to attract more students and young professionals to pursue careers in cybersecurity. The Maryland Cyber Challenge will strengthen Maryland’s position as a cybersecurity leader by bringing teams of current and prospective cybersecurity professionals together to develop the skills and techniques needed to protect vital information systems.

Common Types of Network Attacks



The 10,000 hour rule

Malcom Gladwell, Outliers, summary here:

Arguably one of the best ways to learn from the greats,%20Bazhaniul,%20Furtak,%20and%20Loucaides%20-%20Updated/DEFCON-22-Bulygin-Bazhaniul-Furtak-Loucaides-Summary-of-attacks-against-BIOS-UPDATED.pdf


Initiative funded by Bill and Melinda Gates:

Group learning

Grockit – Standardized Testing preparation – Research on group studying vs. individual (show graph)

Resources for Cyber Security Pros

UK site with up to the minute information on cybersecurity breaches as well as commentary and analysis

Example of gigaom bringin people together to discuss big data.  Strongly recommend subscribing to all their articles.

Excellent security magazine.

Not strictly cybersecurity, but a great site for statistical analyses of all kinds.  Started as a prediction tool for Senate and Congress seats (hence the “538”) and expanded to all thing sports, lifestyle, food, and just about anything else with available data.

–Machine learning contests hosted online.

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