An Intelligent Model for Analyzing the (I‘rāb) Syntax Parsing of the First Three Parts (Juz’) of the Holy Quran

Authors

  • Teba A. Jasim Northern Technical University, Mosul
  • Prof. Dr. AbdulSattar Mohammed Khidhir Northern Technical University, Mosul
  • Safa Akram Altutunji Northern Technical University, Mosul

Keywords:

LSTM, Intelligent model, Quran analysis, Deep learning

Abstract

As the world becomes more interconnected now than decades ago, information security incidents are more prevalent in organizations. The incidents are more likely caused by insiders and they can happen with or without intentions. Although some security studies state that unintentional security incidents could cause more damage to organizational information systems (IS) than intentional security incidents, the research in this area is still limited. This paper focuses on unintentional employees’ behaviors that have impacts on organizational information security, rather than unintentional behaviors in general IT practices. It explores unintentional information security behavior based on the perspective of the Qur’an and Hadith. Moreover, it provides some recommendations based on academic studies and Sharia teachings to overcome unintentional information security behavior. This paper starts with the discussion on information security behavior, human intentions based on the Sharia, and unintentional behavior under Islamic perspective. Finally, the significance of the study relies on the recommendation to reduce unintentional security threats based on information security studies and Sharia teachings by proposing a model to understand unintentional information security behavior and the factors that affect them.

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Published

2026-03-15