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Toward Understanding the Impact of Demographic Factors on Cybersecurity Awareness in the Moroccan Context

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Artificial Intelligence and Green Computing (ICAIGC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 806))

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Abstract

The main aim of this study is to assess the level of cybersecurity awareness (CA) among employees in the public sector of Morocco and further examine the impact of various demographic factors on this awareness. To achieve this, a quantitative research method was employed, utilizing an online survey to collect and analyze data from 244 public sector employees. In the present study, three hypotheses were formulated and tested using different statistical methods to determine whether there are any relationships between CA in terms of knowledge and behavior and demographic factors (e.g., gender, age, and educational level). The results revealed a statistically significant correlation between gender and CA, while no significant impact of age or educational level on CA was observed.

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Acknowledgements

The authors would like to thank all employees for their support and valuable contribution to our study.

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Authors and Affiliations

  1. Laboratory LIMATI, FPBM, USMS University, Beni Mellal, Morocco

    Mohamed Zaoui & Yassine Sadqi

Authors
  1. Mohamed Zaoui
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  2. Yassine Sadqi
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Corresponding author

Correspondence to Mohamed Zaoui .

Editor information

Editors and Affiliations

  1. Data Science for Sustainable Earth Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Najlae Idrissi

  2. Data Science for Sustainable Earth Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Abdellatif Hair

  3. ENSIAS, Mohammed V University, Rabat, Morocco

    Mohamed Lazaar

  4. Data Science for Sustainable Earth Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Youssef Saadi

  5. Data Science for Sustainable Earth Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Mohammed Erritali

  6. Faculty of Sciences and Techniques, Hassan First University, Settat, Morocco

    Said El Kafhali

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Zaoui, M., Sadqi, Y. (2023). Toward Understanding the Impact of Demographic Factors on Cybersecurity Awareness in the Moroccan Context. In: Idrissi, N., Hair, A., Lazaar, M., Saadi, Y., Erritali, M., El Kafhali, S. (eds) Artificial Intelligence and Green Computing. ICAIGC 2023. Lecture Notes in Networks and Systems, vol 806. Springer, Cham. https://doi.org/10.1007/978-3-031-46584-0_16

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