Abstract
Internet of Things (IoT) is a domain where the transfer of big data is taking place every single second. The security of these data is a challenging task; however, security challenges can be mitigated with cryptography and steganography techniques. These techniques are crucial when dealing with user authentication and data privacy. In the proposed work, a highly secured technique is proposed using IoT protocol and steganography. This work proposes an image steganography procedure by utilizing the combination of various algorithms that build the security of the secret data by utilizing Binary bit-plane decomposition (BBPD) based image encryption technique. Thereafter a Salp Swarm Optimization Algorithm (SSOA) based adaptive embedding process is proposed to increase the payload capacity by setting different parameters in the steganographic embedding function for edge and smooth blocks. Here the SSOA algorithm is used to localize the edge and smooth blocks efficiently. Then, the hybrid Fuzzy Neural Network with a backpropagation learning algorithm is used to enhance the quality of the stego images. Then these stego images are transferred to the destination in the highly secured protocol of IoT. The proposed steganography technique shows better results in terms of security, image quality, and payload capacity in comparison with the existing state of art methods.
Highlights
In today‟s era security of confidential data is most important and developments in the field of computer security have presented steganography as a better method of obtaining secured data [1][2]
Steganography is the process of hiding secret data that can be in the form of a message, audio, image, or video into another image, audio, message, or video using embedding processes [3][4][5]
Mohsin et al [40] give novel image steganography based on particle swarm optimization (PSO) algorithm in which secret data concealed based on pixel selection in the spatial domain, for high embedment capacity
Summary
In today‟s era security of confidential data is most important and developments in the field of computer security have presented steganography as a better method of obtaining secured data [1][2]. To tackle these issues different adaptive embedding processes have been introduced in the steganography process[17]. In our proposed technique combination of Salp Swarm Optimization Algorithm and adaptive embedding, provides higher security as well as high payload capacity. A secured image steganography method is proposed based on an adaptive embedding process. 3. a Salp Swarm Optimization Algorithm-based adaptive embedding process is proposed to embed the encrypted data into the cover image. A Salp Swarm Optimization Algorithm-based adaptive embedding process is proposed to embed the encrypted data into the cover image This process embeds the secret data efficiently by setting optimal parameter values to smooth and edge blocks.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
