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Secure Mobile Computing Using Biotelemetrics

Secure Mobile Computing Using Biotelemetrics Alf Weaver (CS) Ben Calhoun (ECE) Travis Blalock (ECE) Secure Mobile Computing Problem: mobile devices (PDA, laptop, cell phone) can represent a security leak if either user or device is compromised Goal is to secure devices by:

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Secure Mobile Computing Using Biotelemetrics

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  1. Secure Mobile Computing Using Biotelemetrics Alf Weaver (CS) Ben Calhoun (ECE) Travis Blalock (ECE)

  2. Secure Mobile Computing • Problem: mobile devices (PDA, laptop, cell phone) can represent a security leak if either user or device is compromised • Goal is to secure devices by: • require initial personal authentication • continue operation only in the presence of an acceptable biometric signal • revert to a locked (suspended) or safe (inoperable) state if user or device is compromised

  3. Uses Emergency Medical Services Physicians Soldiers

  4. “The Patch” • Low-power IC with sensor, microcontroller, and radio • Designed using sub-threshold logic • Form factor like a BandAid • Collects biometric data, performs some local processing, and transmits over a wireless channel • Initially: heart rate sensor, Bluetooth • Ultimately: energy-scavenging from body; additional sensors such as blood pressure, respiration, pulse oximetry, skin temperature, motion/acceleration

  5. PCB Prototype – Data Flow • Full EKG data flow working on PCB Patch Sensor u-Processor Bluetooth PDA Front End Integrated first onto PCB, then into a custom chip

  6. Patch Prototype • Sensor, microcontroller, radio

  7. PCB Prototype

  8. PDA policy setting • PDA monitors heart rate to determine if the data should be locked (inaccessible until re-authentication) or erased (safe state) • Potential triggers: • no heart beat detected • low heart rate for some period of time • PDA out of range • tampering with the patch • distress signal • many more possible with more/different sensors

  9. Setting Policies

  10. Monitoring the Signal

  11. Re-authentication

  12. Patch Simulator • Simulates the heart beat data in a repeatable way for development and debugging

  13. PDA or Laptop Display

  14. Research Issues • Sub-threshold logic design • Additional sensors (temperature, respiration, accelerometer) • Tradeoffs between continuous vs. periodic communication • Handling foreseeable events (battery change, out of range) • Distress signaling—a non-obvious way to force the device into a safe state

  15. Research Issues • Expanding the types of mobile devices (laptops, cell phone, special gear) • Signal processing on the mobile device • Exporting the signal (raw or processed) to the Internet for remote monitoring • Does ECG signal contain enough information for personal authentication? • Energy harvesting • Signal exfiltration

  16. Signal Exfiltration Infant monitoring Gait Analysis

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