Application of Lah transform for security and privacy of data through information hiding in telecommunication

Abstract

Due to rapid growth of digital communication attributed to advancement of Internet technologies, at every time instant huge amount of multimedia information is created and transmitted on the Internet. However, ownership identification, copyright violation, and identity theft are proving as the serious concerns because of the malicious attacks or hacking of open information. Attackers can alter or delete the information, and claim the ownership or prevent the receiver to get the data. Hence, researchers try to address such challenges. One such effort is concerned with multimedia data hiding through Steganography. In this article, a polynomial sequence generator called Lah Transform (LhT) is applied for developing a Steganography method. LhT generates an integer polynomial sequence in coefficient form by evaluating the pixel values using addition and multiplication. Initially, the cover image is partitioned into nonoverlapping b‐pixel groups (where, b = 3 or 4) which in succession are converted into transform domain using LhT in row‐major order. Secret bits are embedded into the LhT coefficients in varying proportions to achieve variable payload. Coefficient adjustment followed by the embedding process ensures minimum quality distortion. Inverse LhT is applied to regenerate b‐pixel groups in the spatial domain. Results assure that incongruity between the cover pixels and stego‐pixels rises as the value of b increases. Hence, to achieve a high payload, smaller values of b are chosen. The proposed method yields higher peak signal to noise ratio values and payload compared to some recent methods found in the literature. Code of our method is available here.

Malicious behavior detection in cloud using self‐optimized dynamic kernel convolutional neural network

“…Ghosal et al 37 improved the security and privacy of the data transferred in telecommunication networks via a steganography technique known as Lah transform (LhT). To obtain the variable payload, the secret bits are inserted into the LhT coefficients in different proportions.…”

Developing an attack detection framework for wireless sensor network‐based healthcare applications using hybrid convolutional neural network

“…Despite this, this paradigm achieves stability, reliability, and privacy concerns. Ghosal et al 26 proposed Lah transform (LhT) method for data privacy and security via information hiding in telecommunication. It considers the security parameter in which the experimental result provided higher peak signal‐to‐noise ratio values with a complex embedding process.…”

Catalan Transform of k -Balancing Sequences

“…ere are several transformations that operate on various integer sequences. Some of them are Binomial Transform [11], Discrete Cosine Transform (DCT) [12], Laguerre Transform [13], Lah Transform [14], Discrete Wavelet Transform (DWT) [15], Discrete Fourier Transform (DFT), and Catalan Transform [16]. In the real life processes, these transformations are basically utilized in various Steganographic schemes and techniques [12][13][14].…”

“…Some of them are Binomial Transform [11], Discrete Cosine Transform (DCT) [12], Laguerre Transform [13], Lah Transform [14], Discrete Wavelet Transform (DWT) [15], Discrete Fourier Transform (DFT), and Catalan Transform [16]. In the real life processes, these transformations are basically utilized in various Steganographic schemes and techniques [12][13][14]. In addition, there are numerous other usages of the above displayed transforms but despite that certain shortcomings of some of the transform techniques are still observed.…”

“…In application point of view, Mukhopadhyay et al [26] dealt with the secured image steganography via CT. In addition, the Lah transform has been applied for security data in the field of telecommunication in [14].…”