Approximate computing for low power and security in the Internet of Things

To save resources for Internet of Things (IoT) devices, a proposed approach segments operands and corresponding basic arithmetic operations that can be carried out by approximate function units for almost all applications. The approach also increases the security of IoT devices by hiding information...

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Bibliographic Details
Published in:Computer (Long Beach, Calif.) Calif.), 2017, Vol.50 (6), p.27-34
Main Authors: Mingze Gao, Qian Wang, Arafin, Md Tanvir, Yongqiang Lyu, Gang Qu
Format: Article
Language:English
Subjects:
Approximate computing
Arithmetic
authentication
circuit obfuscation
Computer security
Cybersecurity
Devices
digital fingerprinting
Encryption
Fingerprinting
hardware
IEEE 754
information hiding
intellectual property
Internet of Things
IoT
Lightweight
low power
Low power electronics
Network resource management
physical unclonable function
Power demand
PUF
reverse engineering
security
Segments
silicon
Very large scale integration
VLSI
Watermarking
Weight reduction
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Summary:To save resources for Internet of Things (IoT) devices, a proposed approach segments operands and corresponding basic arithmetic operations that can be carried out by approximate function units for almost all applications. The approach also increases the security of IoT devices by hiding information for IP watermarking, digital fingerprinting, and lightweight encryption.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2017.176