Abstract:
Data security during information flow has been a difficult challenge in Internet of Things (IoT). To improve security status
various conventional cryptographic methods such as public, private, and hybrid key generation had been utilized by various researchers.
But these methods are associated with a lack of secure communication between two or more devices. In view of this, a lot of effort
is being put into the physical layer of security. In this concept signal-based encryption and key generation are used as the major
components in the security of data. In this research, we present a physical layer security technique based on wavelet transforms and
Langrage’s interpolation. The wavelet based function precedes the sampling of Received Signal Strength (RSS) and convolution of the
Langrage’s interpolation and generates a session shared key for communication. The size of the generated key is 128 bits and 1024
bits during the authentication process of sharing information. The proposed algorithm’s performance is evaluated through a simulation
modeling environment. Different standard data bench for performance analysis is also used. The proposed technique is evaluated in two
scenarios; Line of Sight (LoS) and Non-Line of Sight (NLoS). The proposed algorithm is contrasted with key generation techniques
based on Lagrange and Skyglow (SKG).As compare to Skyglow and Lagrange’s algorithms, the proposed algorithm achieves a 3-5%
improvement in overall efficiency for key generation validation.
