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All Journal International Journal of Advances in Applied Sciences International Journal of Advanced Science Computing and Engineering
El-Dalahmeh, Adi
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Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Secure Key Management Schemes for High-Mobility VANET Environments El-Dalahmeh, Moawiah; El-Dalahmeh, Adi
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.243

Abstract

Secure key management remains a critical challenge in Vehicular Ad Hoc Networks (VANETs) due to high mobility, rapid topology changes, latency constraints, and intermittent connectivity. Traditional key management techniques designed for static networks inadequately address these dynamic VANET characteristics, resulting in compromised security, scalability, and performance. Additionally, emerging quantum computing capabilities pose significant threats to classical cryptographic algorithms, necessitating the integration of quantum-resistant methods. To tackle these issues, this study proposes a hierarchical hybrid key management scheme tailored explicitly for high mobility VANET scenarios. The proposed approach combines symmetric, asymmetric, and lattice-based post-quantum crypto graphic methods within a dynamic clustering framework. Vehi cles dynamically form clusters based on proximity and mobility, wherein cluster heads efficiently distribute symmetric keys to reduce computational overhead and latency. For inter-cluster and vehicle-to-infrastructure communications, asymmetric cryp tography and lattice-based quantum-resistant algorithms en hance security and resilience against quantum threats. Extensive simulations using realistic mobility models (SUMO integrated with NS-3) demonstrate significant improvements over existing schemes. The results indicate reductions of approximately 30 40% in key distribution latency and up to 30% in computational overhead, alongside robust scalability with increasing vehicle den sity. Moreover, the incorporation of post-quantum cryptography ensures future-proof security. This paper identifies open research challenges, including adaptive security management, blockchain integration, and compatibility with emerging communication standards, providing valuable insights for future developments in secure and efficient VANET key management.
AI-integrated pharmacy systems: bridging technology, ethics, and patient care El-Dalahmeh, Adi; Nedal, Nevien; Abu Maria, Khulood; Abu Tarboosh, Sara
International Journal of Advances in Applied Sciences Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i4.pp1305-1321

Abstract

The operation of pharmacy systems undergoes transformation through artificial intelligence (AI), which advances from manual procedures to intelligent adaptive tools. These technologies enhance daily operations through prescription verification, drug interaction alerts, and inventory management while decreasing human mistakes. Through AI, patients gain access to customized medication recommendations, automatic appointment alerts, and virtual support services. The advancement of technology creates multiple new difficulties for healthcare systems. The increasing integration of AI in healthcare creates growing concerns about data privacy alongside algorithmic bias and the requirement for decision-making explanations. This paper evaluates AI systems against conventional pharmacy methods through an assessment of their precision and speed and their impact on patient safety and ethical preparedness. The adoption of AI systems requires strong ethical protections together with defined regulatory frameworks to maintain human clinical decision-making authority in patient care.
Co-Authors Abu Maria, Khulood Abu Tarboosh, Sara El-Dalahmeh, Moawiah Nedal, Nevien