Capture the Flag for a Cause
Capture the Flag for a Cause
Doctors look after patients. Engineers (like you) look after their data.
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Medical device supply chain attacks can put lives at risk. As digitalization becomes more prevalent in the healthcare sector, organizations must become more vigilant against cyberattacks within the supply chain. Medical professionals need a way to verify the authenticity of sensors, coprocessors, and other healthcare technologies before adding them to patient care procedures.
Welcome to MITRE Engenuity’s Embedded Capture the Flag™ (eCTF) event. Each year, MITRE invites students from dozens of colleges and high schools across the U.S. and the globe to participate in its eCTF challenge. Students develop and defend their own solutions on a real, physical embedded device, ADI’s MAX78000FTHR, as well as trying to score “flags” by discovering vulnerabilities in other students’ designs.
The theme of the annual challenge changes each year, representing diverse cybersecurity threats in industries such as automotive, avionics, and industrial automation. This reflects the reality that all industries are facing an ever-changing security threat landscape. MITRE eCTF pushes students not only to design with security in mind but also to learn from their peers’ mistakes (and their own) to fuel smarter, more secure embedded designs for the future.
ADI is excited to be the hardware sponsor for MITRE Engenuity’s Embedded Capture the Flag (eCTF) competition. Security threats are on the rise and the emerging need, across many markets, is security at the edge. ADI understands how important securing the Intelligent Edge is for our customers. So, we look forward to each team’s innovative solution for security at the edge!Debra Delise
VP, Security Products and Technology
Analog Devices: The Official Hardware Sponsor for MITRE eCTF
Analog Devices, Inc. (ADI) is proud to support MITRE Engenuity, a not-for-profit, federally funded research and development center (FFRDC) that provides technical expertise and support to the U.S. government. This year, ADI is providing 1,000 units of the MAX78000FTHR evaluation board for students to use in the eCTF challenge.
Last year, ADI engineers offered design feedback and technical support in the Slack channels of the participating colleges, reviewed and rated student poster submissions, and hosted a career day and an ask-me-anything session between students and ADI security experts. ADI chief engineer Doug Gardner was a keynote speaker at the awards ceremony where attending students also had an opportunity to network with our engineers regarding internship and career opportunities at ADI.
This year, ADI looks forward to growing its partnership with MITRE to provide even more value to students throughout the event and beyond.
About the MAX78000FTHR
The MAX78000FTHR is a dual-core microcontroller ideal for developing ultra low power, artificial intelligence (AI) solutions using compatible technologies. It provides a flexible and power-optimized platform for early design phases, from proof of concept through initial software development.
MAX78000FTHR Data Sheet
The MAX78000FTHR rapid development platform is a power-optimized flexible platform designed to accelerate early software development phases and reduce time to market. This data sheet provides everything you need to quickly implement low power AI solutions using the MAX78000 Arm® Cortex®-M4F processor and an integrated convolutional neural network accelerator.
Developing Power-Optimized Applications on the MAX78000FTHR
Learn to develop power-optimized AI applications on the MAX78000, an ultra low power microcontroller whose architecture includes a convolutional neural network (CNN) accelerator. Two case study applications, keyword spotting and face identification, are offered as examples to guide the user’s own application.
Visual Identification AI at the Edge with the MAX78002
AI facial recognition in the workplace allows us to protect assets, improve productivity, and seamlessly add a layer of security in remote or unsupervised areas. ADI is enabling AI at the Intelligent Edge through facial recognition that validates authorized personnel, powered using only a small battery.