Due to technology advancement, smart visual sensing required in terms of data transfer capacity, energy-efficiency, security, and computational-efficiency. The high-quality image transmission in visual sensor networks (VSNs) consumes more space, energy, transmission delay which may experience the various security threats. Image compression is a key phase of visual sensing systems that needs to be effective. This motivates us to propose a fast and efficient intelligent image transmission module to achieve the energy-efficiency, minimum delay, and bandwidth utilization. Compressive sensing (CS) introduced to speedily compressed the image to reduces the consumption of energy, time minimization, and efficient bandwidth utilization. However, CS cannot achieve security against the different kinds of threats. Several methods introduced since the last decade to address the security challenges in the CS domain, but efficiency is a key requirement considering the intelligent manufacturing of VSNs. Furthermore, the random variables selected for the CS having the problem of recovering the image quality due to the accumulation of noise. Thus concerning the above challenges, this paper introduced a novel one-way image transmission module in multiple input multiple output that provides secure and energy-efficient with the CS model. The secured transmission in the CS domain proposed using the security matrix which is called a compressed secured matrix and perfect reconstruction with the random matrix measurement in the CS. Experimental results outwards that the intelligent module provides energy-efficient, secured transmission with low computational time as well as a reduced bit error rate.

Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems

Comprehensive Survey of Image Steganography: Techniques, Evaluations, and Trends in Future Research

The manufacturing of intelligent and secure visual data transmission over the wireless sensor network is key requirement nowadays to many applications. The two-way transmission of image under a wireless channel needed image must compatible along channel characteristics such as band width, energy-efficient, time consumption and security because the image adopts big space under the device of storage and need a long time that easily undergoes cipher attacks. Moreover, Quizzical the problem for the additional time under compression results that, the secondary process of the compression followed through the acquisition consumes more time.,Hence, for resolving these issues, compressive sensing (CS) has emerged, which compressed the image at the time of sensing emerges as a speedy manner that reduces the time consumption and saves bandwidth utilization but fails under secured transmission. Several kinds of research paved path to resolve the security problems under CS through providing security such as the secondary process.,Thus, concerning the above issues, this paper proposed the Corvus corone module two-way image transmission that provides energy efficiency along CS model, secured transmission through a matrix of security under CS such as inbuilt method, which was named as compressed secured matrix and faultless reconstruction along that of eminent random matrix counting under CS.,Experimental outputs shows intelligent module gives energy efficient, secured transmission along lower computational timing also decreased bit error rate.

Manufacturing intelligent Corvus corone module for a secured two way image transmission under WSN

Book review: Applied cryptography: Protocols, algorithms, and source code in C

Recently, a lot of research has been done in chaotic cryptography field using different kinds of chaotic systems, like chaotic maps, which are being considered as one of the secure and efficient methods to protect confidential information. This article highlights that the main cryptography requirements demand that the new embedded cryptosystems have to be more efficient and secure, it means that they must be faster and offer greater security. For instance, the new cryptosystems require to be compatible with the new telecommunication protocols and, in addition, to be efficient in energy consumption. In this manner, this article introduces a process to improve the randomness of five chaotic maps that are implemented on a PIC-microcontroller. The improved chaotic maps are tested to encrypt digital images in a wireless communication scheme, particularly on a machine-to-machine (M2M) link, via ZigBee channels. We show that function mod 255 improves the randomness of the pseudo-random number generators (PRNG), which is verified performing NIST SP 800-22 statistical tests, histograms, phase-plane analysis, entropy, correlation of adjacent pixels, differential attacks, and using digital images of size 256 × 256 and 512 × 512 pixels. A comparative analysis is presented versus related works that also use chaotic encryption and classic algorithms, such as: AES, DES, 3DES and IDEA. The security analysis confirms that the proposed process to improve the randomness of chaotic maps, is appropriate to implement an encryption scheme that is secure and robust against several known attacks and other statistical tests. Finally, it was experimentally verified that this chaotic encryption scheme can be used in practical applications such as M2M and Internet of things (IoT).

Randomness improvement of chaotic maps for image encryption in a wireless communication scheme using PIC-microcontroller via Zigbee channels

From the past few decades new image encryption methods are being developed so as to increase the secrecy rate. Eavesdropping is the main concern for any type of cryptographic methods. Eavesdropping include various methods like cipher text attack. In order to overcome these problems, we have proposed a compelling chaos-based encryption algorithm particularly for pictures. In this we use a secret hexadecimal key which is used to generates initial conditions for Tinkerbell maps. These are further used to generate initial seeds. The main advantage of the proposed algorithm is that it produces different initial seeds for different rounds which increases the encryption security. Using these we have compared the performances of two different chaotic maps using NPCR, UACI and Correlation analysis.

A Chaos Based Image Encryption Using Tinkerbell Map Functions

Image steganography is a rapidly developing field with immense applications to offer high data security. There are two types’ or rather two domains in which image steganography has been achieved, spatial and frequency domain. Spatial domain steganography focuses on embedding of the payload on the LSB bits of the pixels on the image, while frequency domain steganography focuses on the transformation of the image pixels using various transform algorithms and then embedding data in the transformed pixels. The most commonly used transform mechanism is the IWT (Integer Wavelet Transform) because of the obvious reason that it yields integer coefficients which are very easy to work with. This paper elucidates the use of Haar Integer Wavelet Transform for Constant and Adaptive number of bit embedding method. Both types are analyzed and finally the method with the highest embedding capacity with high PSNR is adjudged best.

Wavelet Pave the Trio Travel for a Secret Mission – A Stego Vision

Dual image reversible data hiding using trinary assignment and centre folding strategy with low distortion

4D Hyperchaotic map and DNA encoding combined image encryption for secure communication

In recent times, the use of Internet for data exchange has increased to a great extent. Steganography, cryptography and watermarking are the methods to transfer the data with high security. In this paper, a steganography method with constant bit embedding and adaptive bit embedding in Haar Integer Wavelet Transform domain has been proposed. The adaptive bit embedding provides more security than the constant bit embedding. Here, a mathematical model for Knight's Tour is developed, which adapts random traversing inside the wavelet coefficients to increase the security further. In this proposed work, multiple security is ensured by formulating Knight's Tour algorithm for random traversing and selecting the order of sub-bands to provide high capacity, security and robustness. Copyright © 2015 John Wiley & Sons, Ltd.

V. Thanikaiselvan

Papers

A Chaos Based Image Encryption Using Tinkerbell Map Functions

Wavelet Pave the Trio Travel for a Secret Mission – A Stego Vision

Dual image reversible data hiding using trinary assignment and centre folding strategy with low distortion

4D Hyperchaotic map and DNA encoding combined image encryption for secure communication

RAND - STEG: an integer wavelet transform domain digital image random steganography using knight's tour