Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

Browse

Author: search.filters.author.Boutalbi, Mohammed Chaker

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    High-capacity DWT-SVD watermarking for MRI images embedding MITR medical information
    (Elsevier, 2025) Benyoucef, Aicha; Goudjil, Aya; Hamadouche, M'Hamed; Boutalbi, Mohammed Chaker; Ammar, Mohammed; El Habib Daho, Mostafa
    Securing Medical Imaging Test Reports (MITRs) during digital transmission is a growing concern in the era of telemedicine. Conventional watermarking methods often face a trade-off between imperceptibility, robustness, and payload capacity, especially in the context of sensitive medical data. To address this challenge, we propose an efficient and secure watermarking technique tailored for MRI brain images, using a combination of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). The core idea involves embedding four sub-watermarks—a QR-encoded MITR, patient photo, and hospital logos—into strategically selected Region of Non-Interest (RONI) blocks of the cover image, while preserving the diagnostic Region of Interest (ROI). This region-based design ensures both high payload capacity and minimal visual distortion, even under hardware constraints. Experimental evaluations demonstrate that our method maintains high imperceptibility (PSNR > 67 dB, SSIM = 1.000), robustness (NC > 0.9430), and zero Bit Error Rate (BER = 0.1120) under common image processing attacks. Additionally, the use of QR codes for encoding the MITR improves the security and confidentiality of patient data. Compared to recent approaches, our method achieves better performance in both visual quality and robustness, confirming its effectiveness for secure medical image transmission in clinical and telehealth applications
  • No Thumbnail Available
    Item
    Enhanced UAVs mobility models for surveillance and intruders detection missions
    (Springer, 2022) Boutalbi, Mohammed Chaker; Riahla, Mohamed Amine; Ahriche, Aimad
    The use of chaotic solutions in designing UAVs’ (Unmanned Aerial Vehicles) mobility models for surveillance systems is becoming the trend in the last years. The substitution of the random part by a chaotic solution of a dynamic system has proven to be more effective. Therefore, this paper presents CSC (Chaotic Squad Coordination), a novel implementation scheme of UAVs mobility models in surveillance and intruders detection missions. The CSC comes as a low-cost solution to make the UAVs swarm efficiently explore the area of interest and detect malicious intruders, all in a spontaneous manner using a chaotic solution without the need for energy-consuming approaches like the ACO algorithm or deterministic group flocking rules. The used strategy guards the swarm’s movement unpredictability and offers the possibility of implementing a scalable collision avoidance flight plan. In addition, we designed a hybrid chaotic mobility model that switches between two chaotic attractors (Rossler and Ma systems). We used an iterative evolutionary algorithm to optimize its parameters in order to improve the overall delivered quality of service. Extensive simulation experiments are provided in this work to compare seven UAVs chaotic mobility models. The results confirmed the superiority of the CSC strategy that produced better quality of service concerning the swarm’s connectivity, the area coverage, and intruders detection, where the designed mobility model provides an overall reasonable trade-off in parallel with its higher area coverage fairness compared with its peers (CSC-based mobility models)