The SIMON and SPECK lightweight block ciphers

By Ray Beaulieu, Douglas Shors, Jason Smith, Stefan Treatman-Clark, Bryan Weeks, Louis Wingers. Design Automation Conference, 2015

752 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/656e91af74e2ad12071a1232b27a580e1b11914c

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

1. Gautam Srivastava
2. Vishal A. Thakor
3. Muhammad R. A. Khandaker
4. Mohammad Abdur Razzaque

In Computer Vision and Pattern Recognition

1. Vishal A. Thakor
2. Muhammad R. A. Khandaker
3. Mohammad Abdur Razzaque

Citations in the corpus

• Lightweight Cryptography Algorithms for Resource-Constrained IoT Devices: A Review, Comparison and Research Opportunities (2021, background): “The main 4 types of cryptanalysis on block cipher are [38], [51], [53], [131]: Differential cryptanalysis, Linear crypt-analysis, Integral cryptanalysis and Algebraic cryptanalysis.”
• A Decentralized Privacy-Preserving Healthcare Blockchain for IoT (2019, methodology): “Among a few well known examples, the one example of latest usage of ARX cipher is: SPECK [33], designed by the National Security Agency (NSA), of the United States of America (USA) in June 2013.”
• A Survey of IoT-Enabled Cyberattacks: Assessing Attack Paths to Critical Infrastructures and Services (2018, neutral): “, algorithms of small key size [58].”
• Advanced lightweight encryption algorithms for IoT devices: survey, challenges and solutions (2017, neutral): “SIMON and SPECK (Beaulieu et al. 2015), which are from block ciphers, come in a variety of width and key sizes.”