https://journals.airsd.org/index.php/jces <p>The <em>Journal of Computational and Experimental Science</em> (JCES) publishes high-quality, peer-reviewed research across physics, chemistry, biology, mathematics, engineering, and related scientific disciplines. The journal emphasizes the integration of computational modeling, theoretical analysis, and experimental validation to advance both fundamental understanding and practical applications.</p> <p>The journal particularly welcomes contributions in emerging and high-impact areas, including drug discovery and design, materials science, nanotechnology, energy systems and photovoltaic technologies, as well as artificial intelligence and data-driven science.</p> <p>The journal accepts original research articles, review articles, and short communications.</p> <p>The journal covers a broad spectrum of scientific disciplines, including but not limited to:</p> <ul> <li>Physics and applied physics</li> <li>Chemistry and chemical sciences</li> <li>Biology, biotechnology, and life sciences</li> <li>Mathematics and computational mathematics</li> <li>Engineering and applied engineering sciences</li> <li>Materials science and nanotechnology</li> <li>Drug discovery and design</li> <li>Photovoltaics and renewable energy technologies</li> <li>Environmental and energy sciences</li> <li>Artificial intelligence and data-driven science</li> <li>Pharmaceutical and biomedical sciences</li> <li>Interdisciplinary and emerging research areas</li> </ul> Ali Institute of Research and Skill Development (AIRSD) en-US Journal of Computational and Experimental Science 3136-0858 https://journals.airsd.org/index.php/jces/article/view/649 <p>This study conducts an original analytical review of AI-enabled cyber warfare and critical infrastructure resilience in the Gulf Cooperation Council (GCC) region for the period of 2021-2025 based on the available evidence. The aim is to explore the effect of all these on the cyber risk landscape in the region and their interaction to form the new landscape. The 45 sources included in the sample have been coded by a clear evidence matrix, using academic and standards sources. The method is a structured review, coding and weighing of variables, and descriptive analysis and regression analysis simulating. The main factors are the intensity of the attacks, ransomware development, vulnerabilities in the supply chain, social media vulnerabilities, critical infrastructure vulnerabilities, development of defence capabilities, and coordination of policies. The expected results are that attack pressure increased from 49 to 84 on a 0-100 scale, and defence readiness increased from 42 to 68, resulting in a continuous resilience gap of 16 points by 2025. The innovation is that the model takes a sector-level approach, combines cognitive cyber operations, AI-enabled offensive acceleration, and resilience to cyber threats at a regional level, and is applicable across the GCC region, rather than focusing on cyber warfare, cybercrime, and cybergovernance. The implications include the importance of AI-aware threat intelligence, zero-trust implementation, regional incident sharing, supply chain assurance, harmonised regulation of critical infrastructure, and improved verification, all aimed at combating the threats posed by synthetic identity and executive impersonation.</p> Muhammad Saqib Butt Allah Bachayo Brohi Abida Naz Copyright (c) 2026 Journal of Computational and Experimental Science 2026-07-07 2026-07-07 1 2 1 19 10.59075/jces.v1i2.649 https://journals.airsd.org/index.php/jces/article/view/666 <p>Internet of Things (IoT) has become a new paradigm that combines physical devices with computing and networking features to form intelligent systems that can accomplish their tasks with minimal human interaction. It is estimated that by 2030, there will be more than 30 billion interconnected IoT devices, which will transfer more than 40 zettabytes of data each year. Nevertheless, this exponential increase has brought surprising cybersecurity issues, and recent evaluations show that over 70% of IoT devices are susceptible to hacking. This review examines the complex security environment of IoT ecosystems, evaluates vulnerabilities at each layer of architecture, explores new threat vectors, and assesses new defense solutions. This paper introduces a systematic review of IoT security issues based on a five-layer architecture and specifically focuses on the vulnerabilities of the network and application layers. It examines the ways in which artificial intelligence, blockchain technology, edge computing, and Zero Trust Architecture will transform IoT security paradigms. This review helps reveal long-standing issues such as resource limitations, device heterogeneity, and scaling challenges through the analysis of actual attack cases and defenses in the field of smart healthcare, industrial IoT, smart cities, and other vital infrastructures. Recommendations on future research directions are then given at the end of the paper with an emphasis on quantum-resistant cryptography, 6G network security, and standardized security frameworks required to construct resilient IoT ecosystems.</p> Muhammad Sami Intizar Maria Sikandar Aqsa Siddique Madiha Sikandar Maria Farooq Copyright (c) 2026 Journal of Computational and Experimental Science 2026-08-05 2026-08-05 1 2 20 44 10.59075/jces.v1i2.666