Efficient Algorithms, Protocols and Hardware Architectures for Next-Generation Cryptography in Embedded Systems

The Internet of Things (IoT) consists of an ever-growing network of wireless-connected electronic devices which are always collecting, processing and communicating data. While the IoT has inspired many new applications, these embedded devices have unique security challenges, thus making IoT security a major concern. Security architectures for IoT devices, both software and hardware, must be low-power and have low energy consumption, while still providing strong cryptographic guarantees and side-channel resilience. Network security protocols use a variety of cryptographic algorithms to achieve these goals. However, the associated computational complexity makes it extremely important to have low-power and energy-efficient embedded implementations of cryptography, especially public key algorithms. The research presented in this thesis demonstrates the design, implementation and experimental validation of efficient next-generation cryptography for embedded systems using software optimization, hardware acceleration and software-hardware co-design, along with side-channel countermeasures. Using circuit, architecture and algorithm techniques, efficient hardware-accelerated implementations of elliptic curve cryptography, pairing-based cryptography, lattice-based cryptography and other post-quantum cryptography algorithms are demonstrated with up to two orders of magnitude energy savings compared to state-of-the-art software and hardware. These configurable hardware accelerators are further coupled with a low-power micro-processor to provide the flexibility to implement a wide variety of security protocols, thus enabling strong and affordable security for energy-limited IoT nodes.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Banerjee, Utsav

Advisor dc:contributor.advisor

• Chandrakasan, Anantha P.

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/139330

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/139330