Browsing by Author "Haggag, A."

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    Activate the CQDDR Role for Improving Throughput over IEEE 802.15.1 Wireless Links
    (IEEE, 2012) El-Bendary, M. A. M. M.; Haggag, A.; Kazemian, H. B.
    Channel Quality Driven Data Rate (CQDDR) play main role in the throughput factor over IEEE 802.15.1 Bluetooth network. CQDDR is employed to selects the packet size by Received Signal Strength Indicator (RSSI) over Bluetooth network according to channel conditions. This paper tries to improve the throughput over Bluetooth system in classic and Enhanced Data Rate (EDR) packets. The paper studies the adaptive Bluetooth packet format according to CQDDR decision which determines when it can extend the payload (PL) of transmitted packets. This paper proposes transmitting uncoded Access Code (AC) and the header (HD) as optional packets type. Many of proposed packets format are studied in additive White Gaussian Noise (AWGN) and fading channels. Our simulation experiments reveal the capability of extension the PL length by 8 bytes for classic BT and 16 bytes for EDR BT. Also, the experiments reveal ineffectiveness of error control schemes of AC and HD in the case of uncoded packets (DH1). That means in good channel condition the redundant bits can be added to exceed the length of the PL.
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    Proposed Approach for Improving Bluetooth Networks Security through SVD Audio Watermarking
    (IEEE, 2012) El-Bendary, M. A. M.; Haggag, A.; Shawki, F.; Abd-El-Samie, F. E.
    Some of applications need multi-level security. The paper proposes a novel approach IEEE 802.15.1 Bluetooth network to provide better secure link for essential applications. It proposes a new approach for audio watermarking using the singular value decomposition (SVD) mathematical technique. This approach is based on embedding the encrypted image in the singular values of the audio signal after transforming it into a 2-D format. After watermark embedding, the audio signal is transformed again into a 1-D format. The 1-D audio signal is segmented to Bluetooth packet payload length. That leads to the needs of fragmentation of the image to small segments. In the proposed technique the chaotic encryption is used for encrypt the image. It improves the quality of extracted images as proved experimentally, where it resists the noise and different attacks. The paper uses two type of Bluetooth packets (2DH1 and 2DM1), uncoded Enhanced Data Rate (EDR) and encoded EDR packets respectively. At the receiver the segments are recollected to construct watermark signal. The final step is extracting the image. Experiments of the simulation are carried over fading channel. Experimental results show that the proposed audio watermarking approach maintains the high quality of the audio signal and that the watermark extraction and decryption are possible.