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Showing 2 results for Cybersecurity
Ahmad Rahdari, Mohammad Hesam Tadayon,
Volume 12, Issue 2 (2-2024)
Abstract
Cyber security education in Iran is not aligned with global standards and approaches, and three factors, the educational sector, training applicants and stakeholders, and companies do not have proper knowledge of the required specializations and work roles. Different specializations in cyber security work fields in Iran do not match the international standard puzzles and this has created security holes in the country's cyber ecosystem. People working in cyberspace need a combination of domain-specific knowledge, skills, abilities, and other expertise to be as reliable and resilient as the technologies they work with.
At the international level, several frameworks have been designed and implemented for the training and employment of cybersecurity professionals. The most important of which are the US National Initiative for Cybersecurity Education (NICE) Cybersecurity Workforce Framework, the European Cybersecurity Skills Framework (ECSF), and the Australian Signals Directorate (ASD) Cyber Skills Framework. In this paper, each of these frameworks is briefly introduced and their key features, including purpose, structure, and components, are reviewed and analyzed. In addition, their effectiveness in handling global organizations' challenges in creating and developing cybersecurity expert human resources is evaluated and analyzed critically. This review highlights the strengths and weaknesses of each framework, shows the propinquity of one of the frameworks to Iran's educational and labor markets, and provides recommendations for designing a national framework for training and employing cybersecurity professionals, which can be a great lesson for the country to ensure that the necessary measures are taken as soon as possible by those in charge.
Farnoosh Karimi, Behrouz Tork Ladani, Behrouz Shahgholi Ghahfarokhi,
Volume 13, Issue 2 (12-2024)
Abstract
As the intensity of global cybersecurity threats continues to rise, the need for training security professionals has gained greater significance. Educational programs, complemented by laboratories and the execution of cybersecurity exercises, play a fundamental role in enhancing both offensive and defensive capabilities. The execution of such exercises is particularly crucial in operational networks, where testing cyberattacks may not be feasible. Cyber ranges offer an appropriate platform for conducting these exercises. A primary challenge in cybersecurity education is aligning training programs with the diverse skill levels of learners. Adaptive learning, powered by artificial intelligence and recommendation systems, can provide an effective solution for delivering personalized instruction. This study focuses on the KYPO Cyber Range to examine the potential of substituting or augmenting the role of the instructor with an AI-based recommendation agent. The objective of this research is to minimize human intervention and improve the efficiency of the training process. To this end, data collected from the KYPO Cyber Range, developed by Masaryk University, has been utilized, and various machine learning models have been applied to automate and optimize the training process. The results of this research indicate that the integration of artificial intelligence can enhance the performance of educational systems and reduce evaluation time.
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