RECTANGLE: a bit-slice lightweight block cipher suitable for multiple platforms

By Wentao Zhang, Zhenzhen Bao, D. Lin, Vincent Rijmen, Bohan Yang, Ingrid M. R. Verbauwhede. Science China Information Sciences, 2015

377 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/04b268854f5e00a75b3c05bdced06b532e55ead0

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. Vishal A. Thakor
2. Muhammad R. A. Khandaker
3. Mohammad Abdur Razzaque
4. Subhadeep Banik
5. Sumit Kumar Pandey
6. Siang Meng Sim
7. Yu Sasaki
8. Thomas Peyrin

In Computer Vision and Pattern Recognition

1. Sumit Kumar Pandey
2. Thomas Peyrin
3. Siang Meng Sim
4. Yu Sasaki
5. Subhadeep Banik
6. Vishal A. Thakor
7. Yosuke Todo
8. Muhammad R. A. Khandaker

Citations in the corpus

• GIFT: A Small Present - Towards Reaching the Limit of Lightweight Encryption (2017, background): “It can also be described in bitslice 2D, a rectangular array like RECTANGLE [44], and even in 3D cuboid like 3D [32].”
• Lightweight Cryptography Algorithms for Resource-Constrained IoT Devices: A Review, Comparison and Research Opportunities (2021, methodology): “It is a hardware efficient algorithm and uses 4-bit S-boxes (substitution layer - replaces eight S-boxes with single S-box) whereas it takes large cycles in software (permutation layer) which demands an improved version of this [32], [35], [40], [51], [53].”