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All Journal Systematic Literature Review Journal Educational Dynamics: International Journal of Education and Social Sciences
Tanveer Shah
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Computer Science & IT Education Health Professions Nursing Public Health Social Sciences Other

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Optimizing Blockchain-Based Cybersecurity Systems to Strengthen Resilience Against Ransomware Attacks : A Systematic Literature Review Tanveer Shah; Danang Danang
Systematic Literature Review Journal Vol. 1 No. 1 (2025): Januari: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i1.52

Abstract

This study aims to address the challenges and propose solutions for the Optimization of Blockchain-Based Cybersecurity Systems to Enhance Resilience Against Ransomware Attacks using a Systematic Literature Review (SLR) approach. Blockchain is increasingly recognized as a transformative technology in cybersecurity due to its decentralized structure, transparency, and robustness in securing data. Despite these advantages, its widespread adoption is hindered by several challenges, including scalability, interoperability, high energy consumption, and limited access to representative ransomware datasets. This research highlights that integrating blockchain with advanced technologies such as data analytics, machine learning, and Explainable AI (XAI) can significantly enhance its effectiveness in combating ransomware.The findings reveal that Graph Convolutional Neural Networks (GCN) enable real-time detection of ransomware patterns in network traffic with an accuracy of up to 95%. Furthermore, Layer-2 solutions like the Lightning Network and sharding effectively alleviate the load on main blockchains, thereby increasing transaction throughput. Efficient consensus mechanisms, including Proof of Stake (PoS) and Delegated Proof of Stake (DPoS), address energy consumption issues, making blockchain more adaptable to IoT and resource-constrained environments. These approaches have proven successful in enabling early detection, mitigation, and prevention of ransomware in IoT systems, cloud infrastructures, and smart grid networks. The implications of this study underscore the potential of blockchain as a critical component of proactive and adaptive cybersecurity systems. However, overcoming existing challenges requires further development of hybrid frameworks that integrate blockchain with data analytics and machine learning technologies. In addition, efforts should focus on standardizing global security protocols to enhance interoperability and creating robust, diverse ransomware datasets to support more accurate detection systems. Future research should also explore methods to minimize latency and improve blockchain efficiency in real-time cybersecurity applications.
Exploring Teachers' Digital Pedagogical Competency and Its Effect on Learning Outcomes in Rural and Urban Schools Moh. Imron Rosidi; Mu'tasim Fikri; Tanveer Shah
Educational Dynamics: International Journal of Education and Social Sciences Vol. 1 No. 1 (2024): January: Educational Dynamics: International Journal of Education and Social Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/educationaldynamics.v1i1.266

Abstract

This study explores the relationship between teachers' digital pedagogical competency and student learning outcomes in both rural and urban schools. A descriptive survey design, utilizing correlational and regression analyses, was employed to examine this relationship. Data were collected from teachers using a structured questionnaire assessing their digital competence, while student learning outcomes were measured through academic performance records. The results revealed significant differences between urban and rural schools in terms of teachers’ digital competence, with urban teachers demonstrating higher levels of digital skills. A positive correlation was found between teachers' digital competence and student learning outcomes, particularly in urban schools, where digital tools were more readily available. The regression analysis further confirmed that digital competence was a significant predictor of student achievement, with urban schools outperforming rural ones even after controlling for teacher experience. The study suggests that infrastructure availability, teacher training, and institutional support play crucial roles in enhancing digital competence, particularly in rural schools, where such resources are often limited. These findings underscore the need for policy reforms that ensure equitable access to digital tools and professional development opportunities for teachers across both rural and urban settings. Recommendations include targeted interventions for rural schools to bridge the digital divide and improve student learning outcomes through enhanced teacher digital competencies.
Co-Authors Danang Danang Moh. Imron Rosidi Mu'tasim Fikri