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Data Transfer Security in IoT Communication Based on Attribute-Based Cryptography Abidullah, Adel; Rahmani, Khoshal Rahman; Wadeed, Wali Mohammad; Hakimi, Musawer
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2887

Due to the drastic growth, the Internet of Things (IoT) has become an inevitable form of human life. However, IoT communication is subjected to a vast range of security breaches in the vulnerable environment, which leads to the demand for appropriate technology security issues in IoT communication. The cryptography technique exhibits effective security characteristics that promise promising results for identifying security breaches in IoT. This paper proposes attribute-based elliptical curve cryptography (ATB_ECC) to improve security in IoT communication. IoT devices perform communication to overcome security issues in IoT based on defined attributes of access points. Attributes are involved in the characteristics of trusted nodes in the network. The cryptography technique utilizes Elliptical Curve Cryptography (ECC) to transmit messages securely in the IoT environment. Through integrating attribute factors and cryptography techniques, the IoT network can distinguish variations in the active data communication and threats in the IoT network. Simulation performance is examined for different critical structures, such as low, medium, and high. The proposed ATB_ECC is examined for attack prediction scenarios considering real-time servers. The examined results stated that the proposed ATB_ECC has effectively prevented attacks, especially brute force attacks. Analysis of results stated that low-key structure exhibits minimal complexity, but the security level is minimal. A high-key structure consumes vast energy and has increased complexity, but the security is significantly improved. The comparative analysis of various key structure results illustrated that the proposed attributes-based ECC exhibits improved performance at 15% for throughput.

Integrating Blockchain Technology for Secure E-Government Services: Opportunities and Challenges Hakimi, Musawer; Rahmani, Khoshal Rahman; Ezam, Zakirullah; Shahbazi, Hafizullah
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1266

Background. Blockchain technology offers tremendous promise for achieving higher levels of security, transparency, and efficiency in e?government service delivery. Governments around the world are actively pursuing the possibilities at stake, and understanding the opportunities and challenges becomes imperative for adoption. Purpose. This research will focus on how blockchain technology is incorporated into e-government services to increase security, economic benefits through integration with AI, improved activities on database performance by machine learning, ethical perspectives, and implications on future research. Method. A literature review was carried out mainly on databases including IEEE Xplore, ACM Digital Library, Scopus, Science Direct, Springer, and Google Scholar for papers dating from 2018 to 2024. Results. Key findings and insights were, therefore, extracted to give a full view of the envisaged blockchain role in government. Blockchain technology provides integrity, transparency, and decentralized governance to improve the security of e-government. Realization of economic impacts shall be seen through operational efficiency and cost savings, again through artificial intelligence in this integration. Conclusion. Machine learning algorithms bring optimality to database performance, enhancing scalability and responsiveness in large-scale applications of e-government. Essentially, ethics consider aspects of privacy, security, and public trust, which naturally would call for very strong regulatory frameworks and privacy-preserving mechanisms. Such integration of blockchain into e-government hence opens up a window of opportunity to change the operation, service delivery, and citizen engagement in the public sector. Such a study invites the implementation of R&D in recreating new adaptable regulatory frameworks, capacity building, and proactive public awareness campaigns. It also points out future research needs in the area of scalability solutions, interoperability, construction of privacy-preserving mechanisms, impact assessment, and successful governance models.

Integrating Blockchain Technology for Secure E-Government Services: Opportunities and Challenges Hakimi, Musawer; Rahmani, Khoshal Rahman; Ezam, Zakirullah; Shahbazi, Hafizullah
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1266

Background. Blockchain technology offers tremendous promise for achieving higher levels of security, transparency, and efficiency in e?government service delivery. Governments around the world are actively pursuing the possibilities at stake, and understanding the opportunities and challenges becomes imperative for adoption. Purpose. This research will focus on how blockchain technology is incorporated into e-government services to increase security, economic benefits through integration with AI, improved activities on database performance by machine learning, ethical perspectives, and implications on future research. Method. A literature review was carried out mainly on databases including IEEE Xplore, ACM Digital Library, Scopus, Science Direct, Springer, and Google Scholar for papers dating from 2018 to 2024. Results. Key findings and insights were, therefore, extracted to give a full view of the envisaged blockchain role in government. Blockchain technology provides integrity, transparency, and decentralized governance to improve the security of e-government. Realization of economic impacts shall be seen through operational efficiency and cost savings, again through artificial intelligence in this integration. Conclusion. Machine learning algorithms bring optimality to database performance, enhancing scalability and responsiveness in large-scale applications of e-government. Essentially, ethics consider aspects of privacy, security, and public trust, which naturally would call for very strong regulatory frameworks and privacy-preserving mechanisms. Such integration of blockchain into e-government hence opens up a window of opportunity to change the operation, service delivery, and citizen engagement in the public sector. Such a study invites the implementation of R&D in recreating new adaptable regulatory frameworks, capacity building, and proactive public awareness campaigns. It also points out future research needs in the area of scalability solutions, interoperability, construction of privacy-preserving mechanisms, impact assessment, and successful governance models.

E-Learning Adoption in Afghanistan Universities (2019-2024): A Systematic Review of Implementation, Challenges, and Future Direction Musawi, Sayed Zabihullah; Hakimi, Musawer; Nasrat, Abdulfatah; Rahmani, Khoshal Rahman; Khaliqyar, Khudai Qul; Fazil, Abdul Wajid
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 1 (2025): FEBRUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i1.1678

E-learning is an approach that delivers education using digital means, wherein students access classes and resources over web-enabled devices. The study examines the integration of e-learning within Afghanistan's higher education system through a subjective research study by reviewing available literature published between 2019 and 2024 and extracted from databases such as IEEE, Springer, Science Direct, Research Gate, and Scopus. The results highlight several infrastructure barriers considered critical, which include a lack of ICT skills among both teachers and students, unstable internet access, unstable power supply situations, and a dependence on the traditional model of teaching. In addition, socio-political instability and inconsistent policies have further acted as impediments to the mass-level acceptance of e-learning. Despite these challenges, e-learning offers opportunities for flexibility, access to different resources, and the integration of innovative teaching techniques. Cloud-based tools have proven beneficial during interruptions such as the COVID-19 pandemic, which helped in continuing education with minor interruptions. E-learning encourages independent learning and improves digital literacy, but at the same time, teachers face challenges in engaging students and supporting skill development. The disparity in internet access between the urban and rural areas aggravates the problem even further, whereby cities have more access as compared to the countryside. The study further notes that the present-day government strategies are limited in addressing e-learning, as they do not have a coherent policy framework and suffer from lack of infrastructural support. Investments in technology and teacher training are an urgent need to improve e-learning in Afghanistan.

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