eeDTLS: Energy-Efficient Datagram Transport Layer Security for the Internet of Things
Name
eeDTLS__GlobeCom_(1).pdf
Size
892.82 KB
Format
Adobe PDF
Checksum (MD5)
5431958ef1cbb06aff9a901e0ad4c419
Author(s)
Banerjee, Utsav
Juvekar, Chiraag
Fuller, Samuel Henry
Chandrakasan, Anantha P
Date Issued
January 2018
Journal
2017 IEEE Global Communications Conference
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Baneerjee, Utsav et al. "eeDTLS: Energy-Efficient Datagram Transport Layer Security for the Internet of Things." 2017 IEEE Global Communications Conference, December 2017, Singapore, Singapore, Institute of Electrical and Electronics Engineers (IEEE), January 2018 © 2017 IEEE
Version
Author's final manuscript
Abstract
In the fast growing world of the Internet of Things (IoT), security has become a major concern. Datagram Transport Layer Security (DTLS) is considered to be one of the most suited protocols for securing the IoT. However, computation and communication overheads make it very expensive to implement DTLS on resource-constrained IoT sensor nodes. In this work, we profile the energy costs of DTLS 1.3, using experimental models for cryptographic computations and radio-frequency (RF) communications. Based on this analysis, we present eeDTLS, a low-energy variant of DTLS, that provides the same security strength as DTLS, but has lower energy requirements. By employing a combination of packet size reduction and optimized handshake computations, eeDTLS can provide up to 45% energy savings in a typical IoT use case. eeDTLS can be implemented in conjunction with any low-energy IoT RF protocol, and the proposed energy models and protocol optimizations can also be used to improve the energy efficiency of custom IoT security architectures.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Microsystems Technology Laboratories
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/glocom.2017.8255053
