Abstract-As the use of technology is increasing rapidly, the amount of shared, sent, and received information is also increasing in the same way. As a result, this necessitates the need for finding techniques that can save and secure the information over the net. There are many methods that have been used to protect the information such as hiding information and encryption. In this study, we propose a new encryption method making use of amino acid and DNA sequences. In addition, several criteria including data size, key size and the probability of cracking are used to evaluate the proposed method. The results show that the performance of the proposed method is better than many common encryption methods, such as RSA in terms of evaluation criteria.

The process involve in building a successful website goes beyond knowing web developing languages such as HTML and CSS. The success or failure of any website depends heavily on the use of some aspects of Graphical User Interface. These aspects are usually reserved for client’s wishes and desires. The content features of the GUI are used to stay in touch with visitors. Therefore, this article will highlight some important GUI features used in building an attractive and a successful website.

Data hiding or steganography has been used ever since a secret message was needed to be transferred. Data hiding methods need a medium to be cover for secret message that is to be sent. Different mediums are used such as image, video, audio, and last decade the deoxyribose nucleic acid (DNA). In this paper, a new data hiding approach based on the DNA sequence is proposed. Unlike many existing methods, the proposed method does not change the biological functionality of the DNA reference sequence when the sequence is translated into amino acids. The proposed method is consisting of two steps: the first step is encrypting the message using the Toffoli quantum gate. The second step is embedding the encrypted message into DNA sequence by taking one codon at a time and considering amino acids' biological functionality during the embedding process. Experimental results show that the proposed method outperforms the existing schemes preserving biological functionality in terms of cracking probability, and hiding capacity for bit per nucleotide.

XML files are used widely to save the information especially in the field of bioinformatics about the whole genome. There are many programming languages and modules used to parse XML files in different platforms such as Linux, Macintosh and Windows. The aim of this report is to reveal and determine which common programming language to use and on which platform is better to parse XML files in terms of memory usage, CPU time consumption and executing time.