305-651-6500

Jobs    Everything

Select a Metro Area

National Cyber Security Awareness Month – NSU’s 12 Simple Cybersecurity Rules For Your Small Business

by | Sep 16, 2013

Calendar
When:
October 24, 2013 @ 1:00 PM – 2:00 PM America/New York Timezone
2013-10-24T13:00:00-04:00
2013-10-24T14:00:00-04:00
Where:
NSU's GSCIS
Carl DeSantis Building
Davie, FL 33314
USA
Geek Networking Supported by SherlockTalent
Broward Area Fort Lauderdale Area
National Cyber Security Awareness Month - NSU's 12 Simple Cybersecurity Rules For Your Small Business @ NSU's GSCIS | Davie | Florida | United States

***SherlockTech proudly brings you this valuable community event info***

Click here to register

View Brochure

Meeting Description:

James Cannady, Ph.D., Professor at Nova Southeastern University’s Graduate School of Computer and Information Sciences will present on “12 Simple Cybersecurity Rules For Your Small Business.” 
In this presentation twelve simple and inexpensive techniques for protecting small businesses from cyber threats will be discussed.  While complex and expensive solutions exist to improve the security of information technology most of these products are not designed for the specific needs of small businesses.  The techniques that will be discussed in the presentation are designed to address the most common threats encountered by small businesses without requiring significant expertise and expense.

James Cannady, Ph.D.

Dr. James Cannady is a Professor at Nova Southeastern University’s Graduate School of Computer and Information Sciences.  In addition to teaching graduate-level courses in information security, he has worked extensively with Federal, State, and local governments to improve the security of their critical information systems.  Dr. Cannady’s research efforts concern the intersection between artificial intelligence and information security.  In particular he is working to develop adaptive intelligent systems that can be applied to protect computer systems and networks.  These techniques include the use of complex adaptive systems and advanced neural networks in the detection of network-based attacks.