Mohammed Arozullah

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Many techniques have been developed for image compression. An efficient image compression technique promises to give high compression ratio, maintaining the quality of the image. The paper proposes an image compression technique which combines both Artificial Neural Networks and Wavelet theory to optimize the compression ratio and peak signal to noise(More)
A neural network data compression method is presented. This network accepts a large amount of image or text data, compresses it for storage or transmission, and subsequently restores it when desired. A new training method, referred to as the Nested Training Algorithm (NTA), that reduces the training time considerably is presented. Analytical results are(More)
Timed Efficient Stream Loss-tolerant Authentication (TESLA) and digital signature are security implementations of broadcast authentication in Wireless Sensor Networks (WSNs). Both approaches, however, are considered vulnerable to DoS attacks. Encountering this attack requires a scheme that addresses two security measures: prevention and detection.. This(More)
This paper develops and evaluates the performance of an advanced multiple access protocol for transmission of full complement of multimedia signals consisting of various combinations of voice, video, data, text and images over wireless networks. The protocol is called Advanced Multiple Access Protocol for Multimedia Transmission (AMAPMT) and is to be used(More)
This paper deals with protecting all-optical networks (AON) from security attacks at the physical level. It firstly presents an overall high level protocol for establishment, management and on-the-fly restoration of optimal secure lightpaths established by applying constraint-based open shortest path first (OSPF) source routing using proposed security(More)