Adaptive Wireless Channel Probing for Shared Key Generation Based on PID Controller

2013 ◽  
Vol 12 (9) ◽  
pp. 1842-1852 ◽  
Author(s):  
Yunchuan Wei ◽  
Kai Zeng ◽  
Prasant Mohapatra
Keyword(s):  
Pid Controller ◽  
Wireless Channel ◽  
Key Generation ◽  
Shared Key ◽  
Channel Probing

scholarly journals Efficient Physical-Layer Secret Key Generation and Authentication Schemes Based on Wireless Channel-Phase

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Longwang Cheng ◽  
Li Zhou ◽  
Boon-Chong Seet ◽  
Wei Li ◽  
Dongtang Ma ◽  
...  
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Hypothesis Test ◽  
Wireless Channel ◽  
Authentication Scheme ◽  
Key Generation ◽  
Secret Key ◽  
Secret Key Generation ◽  
Authentication Schemes ◽  
Phy Layer ◽  
Shared Key

Exploiting the inherent physical properties of wireless channels to complement or enhance the traditional security mechanisms has attracted prominent attention recently. However, the existing secret key generation schemes suffer from miscellaneous extracting procedure. Many PHY-layer authentication schemes assume that the knowledge of the shared key is preknown. In this paper, we propose PHY-layer secret key generation and authentication schemes for orthogonal frequency-division multiplexing (OFDM) systems. In the secret key generation scheme, to simplify the extracting procedure, only one legitimate party is chosen to probe the channel and quantize the measurements to obtain the preliminary key. The preliminary key is masked by the channel-phase after the mapping and before equalization and distributed to the other party. The final shared key is used for the PHY-layer authentication scheme in which random signals and the shared key masked by the channel-phase are exchanged at the PHY-layer. Then, a binary hypothesis test is formulated for authentication. Simulation results show that the proposed secret key generation scheme outperforms the existing schemes. For the PHY-layer authentication scheme, it is immune to various passive and active attacks and a high successful authentication rate is acquired even at low signal-to-noise ratio region.

scholarly journals A Distributed Shared Key Generation Procedure Using Fractional Keys

1998 ◽  
Author(s):  
R. Poovendran ◽  
M. S. Corson ◽  
J. S. Baras
Keyword(s):  
Key Generation ◽  
Shared Key ◽  
Generation Procedure

scholarly journals An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks

2020 ◽  
Vol 16 (6) ◽  
pp. 155014772092577 ◽  
Author(s):  
Shahwar Ali ◽  
A Humaria ◽  
M Sher Ramzan ◽  
Imran Khan ◽  
Syed M Saqlain ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Security ◽  
Response Times ◽  
Base Station ◽  
Wireless Channel ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Key Generation ◽  
Diffie Hellman

In wireless sensor networks, the sensors transfer data through radio signals to a remote base station. Sensor nodes are used to sense environmental conditions such as temperature, strain, humidity, sound, vibration, and position. Data security is a major issue in wireless sensor networks since data travel over the naturally exposed wireless channel where malicious attackers may get access to critical information. The sensors in wireless sensor networks are resource-constrained devices whereas the existing data security approaches have complex security mechanisms with high computational and response times affecting the network lifetime. Furthermore, existing systems, such as secure efficient encryption algorithm, use the Diffie–Hellman approach for key generation and exchange; however, Diffie–Hellman is highly vulnerable to the man-in-the-middle attack. This article introduces a data security approach with less computational and response times based on a modified version of Diffie–Hellman. The Diffie–Hellman has been modified to secure it against attacks by generating a hash of each value that is transmitted over the network. The proposed approach has been analyzed for security against various attacks. Furthermore, it has also been analyzed in terms of encryption/decryption time, computation time, and key generation time for different sizes of data. The comparative analysis with the existing approaches shows that the proposed approach performs better in most of the cases.

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