Problem statement: Privacy and security over communication channels are of primary concerns. Due to their complexity and diversity, there is a need for continuous improvements of the adopted solutions. In this study, we consider two of the adopted ones, namely, steganogrphy and cryptography and propose a new information hiding system. Approach: The proposed system was based on a generic approach that incorporates text-based steganography and cryptography methods in a way that permits their combined or stand alone adoption. Thus, achieving message encryption incorporated with its concealing inside another unsuspicious one. Furthermore, two steganography methods (the inter-word spaces method and syntactic methods) had been combined with a hybrid textencoding in a form of binary representation of terns rewriting systems. Results: An information hiding system had been implemented. The system offered encrypting and hiding dynamic and static text within a cover-text. The conducted experiments using static texts had shown a non-noticeable increase (0.02%) in the size of their respective stego-texts. For the dynamic texts, cover-texts with a size proportional to the length of the secret messages were needed. Conclusion: A generic model for information hiding with a respective implementation framework had been used as an effective tool to develop a hybrid and scalable steganography system that combined good features from the existing ones.

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Phishing is a significant security threat to the Internet; it is an electronic online identity theft in which the attackers use spoofing techniques like fake websites that mimic legal websites to trick users into revealing their private information. Many of successful phishing attacks do exist and subsequently a considerable number of anti-phishing methods have been proposed. However, they vary in terms of their accuracy and error rate. This paper proposes an algorithm for phishing websites detection using data mining classification model. It is implemented and experimented using a dataset composed of 20 different webpage features and 1,000 instances. The experimental results showed that the proposed algorithm outperforms the original one in terms of the number of classification rules, accuracy (87%) and less error rate (0.1 %).

Steganography and cryptography are used to maintain privacy and security over communication channels. Due to their complexity and diversity, there is a need for their continuous improvements. In this paper, we consider such improvements and propose a new bilingual information hiding system. The proposed system is based on a formal approach that incorporates text-based steganography and cryptography in a way that permits multilayered levels of security and privacy and improves the quality of information hiding in terms of perceptual transparency, robustness and hiding capacity. Considering an Arabic text as a cover one, the inter-word spaces and word features have been used as places for information hiding. As a result, 3.676 have been achieved as an improved average of capacity ratio.

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