Secret Key Extraction from Wireless Signal Strength in Real Environments

By Suman Sekhar Jana, S. N. Premnath, M. Clark, Sneha Kumar Kasera, Neal Patwari, Srikanth V. Krishnamurthy. IEEE Transactions on Mobile Computing, 2009

732 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/0c897fe4f9b00157ace71f70ea344f7d7e3b9d9e

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. Haji. M. Furqan
3. Lajos Hanzo
4. Xianbin Wang
5. Jehad M. Hamamreh

In Computer Vision and Pattern Recognition

1. Huseyin Arslan
2. Haji. M. Furqan
3. Lajos Hanzo
4. Xianbin Wang
5. Jehad M. Hamamreh

In Electrical and Electronic Engineering

1. Huseyin Arslan
2. Xianbin Wang
3. Haji. M. Furqan
4. Lajos Hanzo
5. Jia Zhu
6. Jehad M. Hamamreh
7. Yulong Zou

Citations in the corpus

• A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends (2015, background): “It was shown in [153] that it is possible to generate secret bits at a sufficiently high rate based on the wireless channel variations in highly dynamic mobile scenarios.”
• Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey (2019, methodology): “In [180] and [186], an effective adaptive technique was proposed to extract multiple bits by using single measurement of RSSI.”