Saman Shojae Chaeikar

Genetic substitution-based audio steganography for high capacity applications

A wide range of steganography techniques has been described in this paper. Beside the evaluation of embedding parameters for the existing techniques, two problems – weaknesses – of substitution techniques are investigated which if they could be solved, the large capacity – strength – of substitution techniques would be practical. Furthermore, a novel, principled approach to resolve the problems is presented. Using the proposed genetic concept, message bits are embedded into multiple, LSB layers, resulting in increased capacity.

Genetic Audio Watermarking

This paper presents a novel, principled approach to resolve the remained problems of substitution technique of audio watermarking. Using the proposed genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. Substitution techniques have naturally high capacity, but two major problems, having low robustness and transparency, negate the advantage. The robustness specially would be increased against those intentional attacks which try to reveal the hidden message and also some unintentional attacks like noise addition as well.

Interpretative Key Management (IKM), A Novel Framework

Nowadays, we use cryptography keys to secure our communications. One of the common ways for securing data exchanging is via the use of symmetric keys to encipher transmitted data over network. Todays practices for managing keys face many issues in key generation, distribution, and revocation. In this paper we propose interpretative key management method which is simpler than the current practices. Eliminating the need for key storage, the need for key distribution, automatic key revocation, and unique key per session are the main features of the new proposed key management method. Deletion of some steps and replacing some others with new ones helped us to dominate many issues faced with common practices of key management.

PSW statistical LSB image steganalysis

Steganography is the art and science of producing covert communications by concealing secret messages in apparently innocent media, while steganalysis is the art and science of detecting the existence of these. This manuscript proposes a novel blind statistical steganalysis technique to detect Least Significant Bit (LSB) flipping image steganography. It shows that the technique has a number of major advantages. First, a novel method of pixel color correlativity analysis in Pixel Similarity Weight (PSW). Second, filtering out image pixels according to their statistically detected suspiciousness, thereby excluding neutral pixels from the steganalysis process. Third, ranking suspicious pixels according to their statistically detected suspiciousness and determining the influence of such pixels based on the level of detected anomalies. Fourth, the capability to classify and analyze pixels in three pixel classes of flat, smooth and edgy, thereby enhancing the sensitivity of the steganalysis. Fifth, achieving an extremely high efficiency level of 98.049% in detecting 0.25bpp stego images with only a single dimension analysis.

Comparative Analysis of Master-Key and Interpretative Key Management (IKM) Frameworks

The process of generating, distributing and revoking a cryptographic key is called key management (Piper & Murphy, 2002; Fumy & Landrock, 1993). Key management is a very challenging area between cryptographers and attackers, and since finding keys of approved cryptographic techniques computationally is impossible, attackers prefer to somehow breach the key management process instead of trying to crack keys (Techateerawat & Jennings, 2007).