Journal of Information Technology and Computing
https://sabapub.com/index.php/jitc
<p>Journal of Information Technology and Computing (JITC) is an international peer-reviewed journal published by Saba Publishing and covering the area of information technology and computing, i.e. computer science, computer engineering, software engineering, information systems, and information technology. JITC endeavors to publish stimulating accounts of original scientific work, primarily including research papers on both theoretical and practical issues, as well as case studies describing the application and critical evaluation of theory. Articles are published in English.</p> <p><strong>Editor in Chief:</strong> <strong><a href="https://www.scopus.com/authid/detail.uri?authorId=55430817100" target="_blank" rel="noopener">Dr. Hitham Seddiq Alhassan</a></strong><br /><strong>ISSN (online)</strong>: <a href="https://portal.issn.org/resource/ISSN/2709-5916" target="_blank" rel="noopener">2709-5916</a><br /><strong>Frequency:</strong> Semiannual</p>SABA Publishingen-USJournal of Information Technology and Computing2709-5916<ul> <li>Copyright and Licensing</li> </ul> <p>For all articles published in SABA journals, copyright is retained by the authors. Articles are licensed under an open access Creative Commons CC BY 4.0 license, meaning that anyone may download and read the paper for free. In addition, the article may be reused and quoted provided that the original published version is cited. These conditions allow for maximum use and exposure of the work, while ensuring that the authors receive proper credit.</p>Deep Learning Techniques for Detecting BOTNET Attacks in IOT Environments: A Review
https://sabapub.com/index.php/jitc/article/view/1047
<p>With the exponential growth of the Internet of Things (IoT) and its increasing integration into various domains, security threats have become a significant concern. One of the most menacing threats in the IoT landscape is botnet attacks, which can cause extensive damage and compromise the privacy and integrity of data via commands and control mechanisms. Traditional security measures are often insufficient in detecting these sophisticated attacks. This review explores the application of deep learning techniques for botnet detection in IoT environments. By analyzing the strengths and limitations of various deep learning models, the aim is to provide insights into their effectiveness and potential for securing IoT ecosystems. Thus, this study will provide better understanding of how deep learning-based models can be built using some novel approaches.</p>Bolakale Aremu
Copyright (c) 2025 Bolakale Aremu
https://creativecommons.org/licenses/by/4.0
2025-09-142025-09-145115–2415–2410.48185/jitc.v5i1.1047The Dark Web and the Digital Law, The Ongoing Battle Against Cybercrime
https://sabapub.com/index.php/jitc/article/view/1140
<p>The internet has become the basic need of the current generation. Utmost of the population around the world these days is using the internet regularly. The internet is a vast and intricate web of information, connecting billions of users worldwide. Within this web is a hidden layer known as the Dark Web, a space characterized by its anonymity and opacity. The Dark Web is a realm where the law finds itself at odds with a complex web of cybercriminal activities. The Dark Web, a subset of the Deep Web, is intentionally hidden from conventional search engines.</p>Raja Vavekanand
Copyright (c) 2025 Raja Vavekanand
https://creativecommons.org/licenses/by/4.0
2025-09-142025-09-145125–3225–3210.48185/jitc.v5i1.1140Transforming Healthcare Access in Botswana: Developing A Telemedicine Strategy Through the E-Health Strategy Development Framework
https://sabapub.com/index.php/jitc/article/view/1379
<p>This paper presents a strategic framework for implementing telemedicine in Botswana, focusing on improving healthcare access, particularly in rural regions. Botswana faces significant healthcare disparities, with rural communities experiencing limited access to medical services, long travel distances to healthcare facilities, and delayed treatment due to shortages in medical personnel and infrastructure. To address these challenges, this paper proposes the adoption of telemedicine solutions grounded in the eHealth Strategy Development Framework (eHSDF). By leveraging mobile health technologies, the strategy aims to bridge the healthcare gap and enhance service delivery through digital means. The research uses a mixed-methods approach, combining quantitative surveys and qualitative interviews. Surveys were conducted with healthcare professionals and policymakers to assess the current state of healthcare services and evaluate the feasibility of telemedicine implementation. Qualitative interviews with rural community members provided insights into their healthcare needs and expectations from telemedicine solutions. Findings indicate broad support for telemedicine, with 92% of participants acknowledging its potential to improve healthcare accessibility. However, concerns about infrastructure limitations, such as unreliable internet and electricity in remote areas, were highlighted by 75% of respondents. Furthermore, capacity building emerged as a critical factor, with 80% of healthcare professionals indicating the need for training on telemedicine technologies. Based on these findings, the paper proposes a phased telemedicine implementation strategy that emphasizes stakeholder engagement, including healthcare providers, government agencies, and rural communities. Additionally, it underscores the importance of improving infrastructure and providing comprehensive training programs to ensure the successful adoption of telemedicine. The research offers actionable recommendations for policymakers and healthcare practitioners aiming to achieve sustainable, equitable healthcare delivery in Botswana. Finally, the paper suggests that future research should focus on the cost-effectiveness of telemedicine and the role of public-private partnerships in enhancing telehealth infrastructure in Botswana.</p>alton mabina
Copyright (c) 2025 alton mabina
https://creativecommons.org/licenses/by/4.0
2025-09-142025-09-1451334010.48185/jitc.v5i1.1379