Advanced lightweight encryption algorithms for IoT devices: survey, challenges and solutions

By Saurabh Singh, Pradip Kumar Sharma, S. Moon, J. Park. Journal of Ambient Intelligence and Humanized Computing, 2017

372 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d88cee5cc1969405612e42b067c4e2c7103d15b0

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

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, positive): “The three main characteristics of Lightweight cryptography algorithms and their offerings are listed in Table 2 [9], [11]: As shown in the above table, physical cost, performance and security are the main characteristics to look into while implementing cryptography to any resource-constrained IoT de”