Volume-11 , Issue-3 , Jun 2023, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  Measures of Effectiveness for E learning of University Students During the Covid-19 Pandemic Using the Statistical Model

  Jameela Ali Alkrimi, Raja Salih Mohammed, Ameer Hamdi Hakeem Al-Ameedee, Safaa Hakeem Alkahfaji, Ban Alwash, Rawan Al-Rubaye

  Research Paper | Journal (IJSRNSC)

  Vol.11 , Issue.3 , pp.1-7, Jun-2023

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  Abstract
  E-learning considers the best solution for continuing education during the COVID-19 pandemic, especially in tertiary education. The present study aims to analyze and the evaluation efficacy of learning in an e-learning system measures to improve the technical skills among dental and medical undergraduate students during Covid-19 outbreak. One thousand five-hundred students were assigned for this study and the answers for the given questionnaire were collected. The rate of response was 96.86% among respondents who use module and classroom tools, techniques, or platforms. The statistical model was applied to the analysis of the questionnaire. Principle component analysis techniques were used to determine the variables` efficacy on the E-learning model. The reliability of the associated components was measured using ( Cronbach’s ? ) test gives 0.801. The findings of this study that medical education skills have been slightly affected by the use of e-learning during the COVID-19 pandemic. Therefore, the idea E-learning entails Familiarity with the technology; Usability, Learned skills, and Competency; Quick Responsiveness; Learning Quality of the learner; Time and Cost; Faster Learning; Information quality; and Knowledge sharing.

  Key-Words / Index Term
  E-learning, Effectiveness measure, Covid-19, pandemic, principal component analysis

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  Citation
  Jameela Ali Alkrimi, Raja Salih Mohammed, Ameer Hamdi Hakeem Al-Ameedee, Safaa Hakeem Alkahfaji, Ban Alwash, Rawan Al-Rubaye, "Measures of Effectiveness for E learning of University Students During the Covid-19 Pandemic Using the Statistical Model," International Journal of Scientific Research in Network Security and Communication, Vol.11, Issue.3, pp.1-7, 2023

• Open Access   Article

  A Review of the Security Architecture for SDN in Light of Its Security Issues

  S. Aleem, S. Ahmed

  Review Paper | Journal (IJSRNSC)

  Vol.11 , Issue.3 , pp.8-14, Jun-2023

  Abstract

  Full-Text HTML

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  Abstract
  Software-defined networking (SDN) simplifies and enhances network management for administrators. It is a modern approach that liberates networks from conventional constraints and is considered a game-changing concept for the future of the web. SDN can detect and prevent malicious traffic through its three-tiered architecture, consisting of a control layer , application layer and a forwarding layer. Our work distinguishes between DoS and DDoS attacks, which pose varying degrees of security risk for SDN users. SDN-based 5G networks are vulnerable to DDoS assaults by malevolent users, but can be secured using tools like Mininet. The SDN security architecture can be improved by methods such as network monitoring, verification, automation, improvised threat detection, and dynamic reaction. By separating network control and data planes and using software applications, SDN can effectively detect and stop malicious traffic. Combining SDN and ML enables the detection and prevention of low-rate DoS attacks, providing a security solution for SDN-based 5G networks. The coming model enhances efficacy in detecting and protecting against DoS and DDoS attacks, allowing enterprises to defend their networks and crucial services.

  Key-Words / Index Term
  SDN, DOS, DDoS, 5G, APIs, TCP/IP, OSI.

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  Citation
  S. Aleem, S. Ahmed, "A Review of the Security Architecture for SDN in Light of Its Security Issues," International Journal of Scientific Research in Network Security and Communication, Vol.11, Issue.3, pp.8-14, 2023