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Design and implementation of a multi-modal sensor with on-chip security

Date Issued
August 1, 2020
Author(s)
Hedayatipour, Ava
Advisor(s)
Nicole McFarlane
Additional Advisor(s)
Benjamin J. Blalock
Garrett S. Rose
Steven A. Ripp
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/28160
Abstract

With the advancement of technology, wearable devices for fitness tracking, patient monitoring, diagnosis, and disease prevention are finding ways to be woven into modern world reality. CMOS sensors are known to be compact, with low power consumption, making them an inseparable part of wireless medical applications and Internet of Things (IoT). Digital/semi-digital output, by the translation of transmitting data into the frequency domain, takes advantages of both the analog and digital world. However, one of the most critical measures of communication, security, is ignored and not considered for fabrication of an integrated chip. With the advancement of Moore's law and the possibility of having a higher number of transistors and more complex circuits, the feasibility of having on-chip security measures is drawing more attention. One of the fundamental means of secure communication is real-time encryption. Encryption/ciphering occurs when we encode a signal or data, and prevents unauthorized parties from reading or understanding this information. Encryption is the process of transmitting sensitive data securely and with privacy. This measure of security is essential since in biomedical devices, the attacker/hacker can endanger users of IoT or wearable sensors (e.g. attacks at implanted biosensors can cause fatal harm to the user). This work develops 1) A low power and compact multi-modal sensor that can measure temperature and impedance with a quasi-digital output and 2) a low power on-chip signal cipher for real-time data transfer.

Subjects

CMOS

Sensors

Impedance measurement...

Temperature sensor

Chaos

Hardware security

Disciplines
Electrical and Electronics
Degree
Doctor of Philosophy
Major
Electrical Engineering
File(s)
Thumbnail Image
Name

Thesis__Multi_Modal_sensor_with_on_chip_security__15_.pdf

Size

42.18 MB

Format

Adobe PDF

Checksum (MD5)

b191b63ddb45c4fd3ffaac062c58874f

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