Security for IoT Devices: A Discussion on Low Power & Post Quantum Ciphering
Abstract:
The Global Wearable market is anticipated to rise considerably in the coming years, and communication is a fundamental block in any wearable device. In communication, encryption methods are being used with microcontrollers or software implementations, which are power-consuming and incorporate complex hardware implementation. Internet of Things (IoT) devices are considered resource-constrained devices that are expected to operate with low computational power and resource utilization criteria, making the conventional security scheme not suitable for the new trend of miniaturized devices. At the same time, recent research has shown that loT devices are highly vulnerable to emerging security threats, which elevates the need for low-power and small-size hardware-based security countermeasures.
With quantum computing on the horizon, researchers are also warning about the failure of our conventional encryption architectures. Chaotic encryption is a method of data encryption that utilizes chaotic systems and non-linear dynamics to generate secure encryption keys. In this talk, we describe the pre-quantum physical and encryption attacks on resource-constrained devices and make our way into understanding the effect of quantum computing on the security of our wearable and loT devices, and propose potential solutions to keep our post-quantum era data safe.
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Speakers
Dr. Ava Hedayatipour
Biography:
Dr. Ava Hedayatipour joined the CSULB Department of Electrical Engineering as an Assistant Professor in Fall 2020. Dr. Ava received her Ph.D. in Electrical Engineering from University of Tennessee, Knoxville. She earned a B.S. degree in Electrical Engineering from the Iran University of Science and Technology in 2012, and a M.S. degree in Electrical Engineering from Shahid Rajaee Teacher Training University in Iran in 2015.
Dr. Hedayatipour's current research interests include analog integrated circuit designs, bio-implantable and biomedical devices, low- power and low-noise designs, microelectronics, mixed-signal VLSI designs, and hardware security. During graduate studies, she developed the first integrated secure multimodal sensor that uses low power blocks to implement impedance and temperature sensor, with security fabricated with a Lorenz chaotic circuit. Her impedance sensor has been used to detect thoracic impedance (to detect heart failure) and hand gestures (to translate sign language). Her recent work in designing a printable electrode enables individuals to do electrochemical experiments in remote locations.