A Physical Layer Key Generation Approach Based on Received Signal Strength in Smart Homes

2021 ◽  
pp. 1-1
Author(s):  
Hong Zhao ◽  
Yuexin Zhang ◽  
Yang Xiang ◽  
Chunhua Su
Keyword(s):  
Signal Strength ◽  
Smart Homes ◽  
Received Signal Strength ◽  
Physical Layer ◽  
Key Generation

scholarly journals Efficient physical layer key generation technique in wireless communications

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Rushan Lin ◽  
Li Xu ◽  
He Fang ◽  
Chuan Huang
Keyword(s):  
Wireless Communications ◽  
Signal Strength ◽  
Physical Layer ◽  
Generation Rate ◽  
Key Generation ◽  
Generation Technique ◽  
Adaptive Quantization ◽  
Secret Keys ◽  
Randomness Extractor ◽  
Mismatch Rate

AbstractWireless communications between two devices can be protected by secret keys. However, existing key generation schemes suffer from the high bit disagreement rate and low bit generation rate. In this paper, we propose an efficient physical layer key generation scheme by exploring the Received Signal Strength (RSS) of signals. In order to reduce the high mismatch rate of the measurements and to increase the key generation rate, a pair of transmitter and receiver separately apply adaptive quantization algorithm for quantifying the measurements. Then, we implement a randomness extractor to further increase key generation rate and ensure randomness of generated of keys. Several real-world experiments are implemented to verify the effectiveness of the proposed scheme. The results show that compared with the other related schemes, our scheme performs better in bit generation rate, bit disagreement rate, and randomness.

scholarly journals Group Secret Key Generation via Received Signal Strength: Protocols, Achievable Rates, and Implementation

2014 ◽  
Vol 13 (12) ◽  
pp. 2820-2835 ◽  
Author(s):  
Hongbo Liu ◽  
Jie Yang ◽  
Yan Wang ◽  
Yingying Chen ◽  
Can Emre Koksal
Keyword(s):  
Signal Strength ◽  
Received Signal Strength ◽  
Key Generation ◽  
Secret Key ◽  
Secret Key Generation

KAJIAN KEKUATAN SINYAL RADIO (RSSI) XBEE DALAM RANGKA PEMASANGAN LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN GARUT, TASIKMALAYA DAN MAJALENGKA

2019 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Riski Fitriani
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Received Signal Strength Indicator ◽  
Landslide Early Warning ◽  
Point To Point

Salah satu inovasi untuk menanggulangi longsor adalah dengan melakukan pemasangan Landslide Early Warning System (LEWS). Media transmisi data dari LEWS yang dikembangkan menggunakan sinyal radio Xbee. Sehingga sebelum dilakukan pemasangan LEWS, perlu dilakukan kajian kekuatan sinyal tersebut di lokasi yang akan terpasang yaitu Garut, Tasikmalaya, dan Majalengka. Kajian dilakukan menggunakan 2 jenis Xbee yaitu Xbee Pro S2B 2,4 GHz dan Xbee Pro S5 868 MHz. Setelah dilakukan kajian, Xbee 2,4 GHz tidak dapat digunakan di lokasi pengujian Garut dan Majalengka karena jarak modul induk dan anak cukup jauh serta terlalu banyak obstacle. Topologi yang digunakan yaitu topologi pair/point to point, dengan mengukur nilai RSSI menggunakan software XCTU. Semakin kecil nilai Received Signal Strength Indicator (RSSI) dari nilai receive sensitivity Xbee maka kualitas sinyal semakin baik. Pengukuran dilakukan dengan meninggikan antena Xbee dengan beberapa variasi ketinggian untuk mendapatkan kualitas sinyal yang lebih baik. Hasilnya diperoleh beberapa rekomendasi tinggi minimal antena Xbee yang terpasang di tiap lokasi modul anak pada 3 kabupaten.

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