Approximate computing remains vulnerable to attacks; Mizzou Engineers to present findings at IEEE DATE conference
Companies relying on faster, less precise computing to gain energy efficiency still need to be cautious against cyberattacks, Mizzou Engineers have found.
Designing ‘smart’ security for smart devices
A Mizzou Engineering is developing a flexible, add-on security feature that allows different types of smart devices to intelligently learn from past cyberattacks.
Mizzou Cyber Range to Focus on Cyber Pretense Strategies
Hackers are getting smarter about ways to steal sensitive information from the cloud. Now, a new “Mizzou Cyber Range” will train the next generation of cybersecurity professionals to fight back using cyber pretense strategies. Armed with new grant funding from the National Security Agency, Prasad Calyam and his team are building the Mizzou Cyber Range through the MU Center for Cyber Education, Research and Infrastructure.
The New Frontier in Global Relations: Cyberspace
A Mizzou alumnus whose agency is responsible for building out cyber defense capabilities for the U.S. Department of Defense (DoD) says wars of the future will start in cyberspace. Jason Martin, BA ’97, is acting director of the Cyber Development Directorate for the Defense Information Systems Agency (DISA) at Fort Meade, Maryland and the vice director of the Development and Business Center at DISA.
Cybersecurity Work Leads to Center of Academic Excellence Designation
Cyberdefense is a key piece of Mizzou Engineering’s increased focus and support of research in big data analytics. Keeping data secure is critical for individuals, corporations and public entities around the globe, and Mizzou Engineering’s work in the realm of cybersecurity is world class.
Mizzou Engineering’s Chadha protecting your data, identity
While hacking databases is the main way for interested parties to gain users’ personal information, it’s not the only possibility. Intrepid attackers can use perfectly benign means to do so. How? By using readily available aggregate data — for example: census data, medical data focused on how many people in an area suffer from a specific illness, consumer trend data, etc. — and using it to focus on specific individuals.