High-Rate Uncorrelated Bit Extraction for Shared Secret Key Generation from Channel Measurements

By Neal Patwari, J. Croft, Suman Sekhar Jana, Sneha Kumar Kasera. IEEE Transactions on Mobile Computing, 2010

422 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ca922e75a5ebe68b0c539d6baab9a8ec031f7199

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. Huseyin Arslan
2. Jing Huang
3. Haji. M. Furqan
4. A. Mukherjee
5. S. Ali A. Fakoorian
6. Jehad M. Hamamreh
7. A. L. Swindlehurst

In Computer Vision and Pattern Recognition

1. Huseyin Arslan
2. Jing Huang
3. Haji. M. Furqan
4. A. Mukherjee
5. S. Ali A. Fakoorian
6. Jehad M. Hamamreh
7. A. L. Swindlehurst

In Electrical and Electronic Engineering

1. Huseyin Arslan
2. Haji. M. Furqan
3. Jehad M. Hamamreh
4. A. Mukherjee
5. Jing Huang
6. S. Ali A. Fakoorian
7. A. L. Swindlehurst
8. Hsiao-Hwa Chen

Citations in the corpus

• Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey (2010, background): “Some of the first experimental measurement campaigns on secret key generation in reciprocal MIMO channels are presented in [200], [201].”
• Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey (2019, background): “[187] proposed an interesting framework for secret key extractions from radio channel measurements series and called it as High-Rate Uncorrelated Bit Extraction (HRUBE) framework.”