Direct Sequence Spread Spectrum (DSSS) and Frequency Hopping Spread Spectrum (FHSS) techniques are widely used to implement code-division multiple access (CDMA) in wireless communication systems.  Both DSSS and FHSS systems help reducing the effects of interference on the transmitted information making it robust against channel impairments.  DSSS uses a signal bandwidth that is much broader than the information signal bandwidth.  Traditionally, the wide band signal is generated by multiplying the narrowband information signal with a binary code, often designated as a spreading code, to generate the wideband signal that is transmitted. The original information signal can be recreated at the receiver by multiplying the received wideband signal by the same binary code (now designated as a de-spreading code) used to generate the wideband transmitted signal.  To extract the original information signal, the spreading and de-spreading codes must be in synchronism at the receiver and amplitude match with each other.  A new modification for the direct sequence spread spectrum is proposed in this paper. The mechanism introduced in this approach implicates generating the wideband signal by circularly shifting the spreading code (PN) by n places, where n represents the value of the current byte of information signal. The yielded signal is modulated using BPSK modulator before transmitting it.  The original information signal is extracted at the receiver by correlating the received signal (which is actually the original spread sequence circularly shifted by n places) with a locally generated replica of the spreading code.  The position of the maximum value of the cross-correlation vector represents the value of the information signal byte.  The proposed configuration has been implemented using Simulink simulator and the obtained results show that its performance is identical with the conventional DSSS.

The rapid growth of communication technology encouraged a rapidly rising demand for Internet connectivity. Accordingly, this led to an upsurge in research in the discipline of information security. cryptography plays a significant role in securing and verification of information exchanged via public communication channels.   The current paper introduces a novel approach for combining both video, audio and text signals into a single architecture and securing it prior to the process of transmission.  The idea behind this approach depends on embedding the color components of each pixel of the video signal in a quaternion number. The fourth component of the quaternion number is occupied with either an audio sample or a textual data.   The array of quaternion numbers corresponding to a video frame is converted to the frequency domain, using quaternion Fourier transform,  and then multiplied by the quaternion Fourier transform of a digital image. Herby, the selected digital image is used as a complicated secret. The yielded signal is transmitted and when received, both of video, audio and text signals are extracted using simple quaternion mathematics applied to the received signal and a copy of the digital image.    A second level of complexity can be added to this approach by applying one of the well-known cryptographic techniques (symmetric or asymmetric) to the samples of the transmitted signal.   The suggested approach is implemented using Matlab simulation software and the extracted signals are compared with the original ones using some performance metrics.  The obtained results show that the proposed approach is robust and more secure against cryptanalysis attacks without affecting the used bandwidth of the communication channel.

With the rapid growth of communication technology, cryptography plays a significant role in securing and verification of information exchanged via public communication channels.   The current paper introduces a novel method for encrypting/decrypting audio signal using a selected digital image as a complicated key and cover for audio signal.  Each sample of the audio signal is combined with the values of the three color components of a pixel fetched from the cover image yielding a quaternion number.   The absolute value of this quaternion number is then transmitted and when received, the original value of the audio sample can be extracted using simple quaternion mathematics. A second level of complexity can be added to this approach by applying one of the well-known cryptographic techniques (symmetric or asymmetric).   The suggested approach is implemented using Matlab simulation software and the generated audio signal is compared with the original one using some performance metrics.  The obtained results show that the proposed approach is robust and more secure against cryptanalysis attacks.

steganography is the discipline of exchanging information messages in such way that no one, other than the intended recipient, suspects the existence of the message.  The transmitted message can be in textual or multimedia form (audio, image or video) and can be hidden within cover media. Moreover, the hidden message can be in either plain or cipher form.  In steganography, the majority of hiding techniques are implemented either in spatial domain or in frequency domain of the cover media.   The current contribution introduces a new a steganography technique for hiding a textual message within a cover image.   Both the message and the cover image is converted to quaternion form and then only the quaternion message is converted to the frequency domain using Quaternion Fast Fourier Discrete Transform (QFFDT) technique.  Simple quaternion mathematics are used to combine the message (in quaternion frequency domain) within the cover image (in quaternion form).  Conversely, the hidden message can be revealed at the receiver using simple quaternion mathematics in presence of the original cover image.  The proposed method allows hiding a huge amount of data and it is much complicated against steganalysis compared to the traditional methods. The method is assessed using the known performance metrics and the obtained results show that it is robust and more secure against steganalysis attacks without affecting the consumed bandwidth of the communication channel.