Survey and benchmark of block ciphers for wireless sensor networks
By Yee Wei Law, Jeroen M. Doumen, Pieter H. Hartel. TOSN, 2006
333 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/5541e1ee9d35fa16111793af2f5674bc57488dfe
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Computer Networks and Communications
- Virgil D. Gligor
- Weisong Shi
- J. Walters
- Vipin Chaudhary
- Zhengqiang Liang
- Adrian Perrig
- K. Kwak
- Benoît Latré
In Computer Vision and Pattern Recognition
- J. Walters
- Zheng Gong
- Vipin Chaudhary
- Svetla Nikova
- Adrian Perrig
- Ingrid Moerman
- Yee Wei Law
- Zhengqiang Liang
Citations in the corpus
- Wireless Sensor Network Security: A Survey (2006, methodology): “By examining the number of CPU cycle [40] concludes that the most energy ciphers listed in I is Rijndael.”
- A Comprehensive Survey of Wireless Body Area Networks (2012, methodology): “concluded that the most energy efficient cipher is Rijndael [47].”
- MiniSec: A Secure Sensor Network Communication Architecture (2007, methodology): “Similarly, the Skipjack implementation is ported to nesC from Yee Wei Law’s implementation [12].”
- KLEIN: A New Family of Lightweight Block Ciphers (2010, background): “From a wide range of block ciphers, PRESENT is chosen because it is ultralightweight for highly resource-constrained [4], while Skipjack is proven to be softwareefficient for 8-bit processors [32].”