Steganography: a class of secure and robust algorithms

This research work presents a new class of non-blind information hiding algorithms that are stego-secure and robust. They are based on some finite domains iterations having the Devaney's topological chaos property. Thanks to a complete formalization of the approach we prove security against watermark-only attacks of a large class of steganographic algorithms. Finally a complete study of robustness is given in frequency DWT and DCT domains.Comment: Published in The Computer Journal special issue about steganograph

Application of Stochastic Diffusion for Hiding High Fidelity Encrypted Images

Cryptography coupled with information hiding has received increased attention in recent years and has become a major research theme because of the importance of protecting encrypted information in any Electronic Data Interchange system in a way that is both discrete and covert. One of the essential limitations in any cryptography system is that the encrypted data provides an indication on its importance which arouses suspicion and makes it vulnerable to attack. Information hiding of Steganography provides a potential solution to this issue by making the data imperceptible, the security of the hidden information being a threat only if its existence is detected through Steganalysis. This paper focuses on a study methods for hiding encrypted information, specifically, methods that encrypt data before embedding in host data where the ‘data’ is in the form of a full colour digital image. Such methods provide a greater level of data security especially when the information is to be submitted over the Internet, for example, since a potential attacker needs to first detect, then extract and then decrypt the embedded data in order to recover the original information. After providing an extensive survey of the current methods available, we present a new method of encrypting and then hiding full colour images in three full colour host images with out loss of fidelity following data extraction and decryption. The application of this technique, which is based on a technique called ‘Stochastic Diffusion’ are wide ranging and include covert image information interchange, digital image authentication, video authentication, copyright protection and digital rights management of image data in general

Bio-cryptography using Zernike Moments and Key Generation by Cubic Splines

Cryptography is the process of protecting sensitive information and making it unreadable to unwanted parties. Since all algorithms that perform this task depend on the process of finding a suitable key, the key generation is considered the soul of powerful encryption. The traditionally generated keys are long and random, hence are difficult to memorize, and we need a database to store the keys. To alleviate this limitation, we use bio-cryptography that is combined of biometrics and cryptography. Using Bio-Cryptography generated keys provides the necessary security through powerful encryption and decryption of data. This paper uses cubic spline to generate a cryptographic key through extracting the features from fingerprint. The approach is based on extracting the features generated by using Zernike Moment on a biometric, and then sending these features to a Cubic-Spline Interpolator to generate the keys. A key encryption will be generated for every person through extracting the features from his / her biometric (fingerprint) and then applying these features on the cubic spline interpolator to obtain some points. These interpolated points will be used as keys to encrypt the information by using a suitable encryption algorithm.  The benefit presented by this approach is to ensure a high level of security to protect the information through generating secure keys ready to be used for unsecured channel. In this paper, we used fingerprints from Biometric Recognition Group - ATVS to examine the performance of this approach. Keywords: Biometrics, Key Generation, Zernike Moment, Cubic Spline, Cryptography, RSA, Fingerprint

Classical light vs. nonclassical light: Characterizations and interesting applications

We briefly review the ideas that have shaped modern optics and have led to various applications of light ranging from spectroscopy to astrophysics, and street lights to quantum communication. The review is primarily focused on the modern applications of classical light and nonclassical light. Specific attention has been given to the applications of squeezed, antibunched, and entangled states of radiation field. Applications of Fock states (especially single photon states) in the field of quantum communication are also discussed.Comment: 32 pages, 3 figures, a review on applications of ligh