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Human factors in cybersecurity: an in depth analysis of user centric studies Musawer Hakimi; Mohammad Mustafa Quchi; Abdul Wajid Fazil
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 3 No. 01 (2024): Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID), January
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/esaprom.v3i01.3832

Abstract

This study delves into the intricate intersection of human behavior, cognition, and technology within the cybersecurity domain, aiming to enhance our understanding of the human-centric challenges influencing the effectiveness of cybersecurity measures. The primary objective is to unravel the nuanced landscape where human errors persist as a significant contributing factor to security breaches, emphasizing the need for a holistic comprehension of human factors. The study recognizes the evolving nature of work, with an increasing number of individuals operating from home, and the consequential challenges in managing human factors in the digital era. The blurring lines between private and public lives, coupled with the rise of social credit systems, necessitate a thorough examination of key elements intersecting with cybersecurity Employing a systematic literature review, this research methodically identifies, filters, and analyzes pertinent literature concerning human-centric factors in cybersecurity. The systematic approach involves the formulation of specific research questions guiding the study, strategic search plans targeting reputable databases, and meticulous study selection processes based on predefined criteria The study unfolds through a series of interconnected research questions, addressing the impact of human factors on operational efficiency, challenges in the adoption of human-centric approaches, and the ways in which human factors influence strategic decision-making in cybersecurity. The results shed light on the substantial contribution of understanding user behavior and cognitive processes to the development of tailored cybersecurity strategies. Challenges, such as security fatigue and the scarcity of psychology-based professionals, are addressed, advocating for human factors engineering and strategic initiatives to enhance education and training programs. In conclusion, embracing a human-centric paradigm emerges as imperative for organizations striving to fortify their defenses against dynamic and sophisticated cyber threats. Integrating technology with a profound understanding of human factors becomes the cornerstone for shaping a resilient and adaptive cybersecurity future.
A Comprehensive Analysis of the Effectiveness of AI Platforms in Improving Student Educational Skills Khudai Qul Khaliqyar; Shairagha Katebzadah; Musawer Hakimi
International Journal of Integrated Science and Technology Vol. 1 No. 6 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v1i6.1103

Abstract

This study explores the profound impact of Artificial Intelligence (AI) on education in diverse academic settings, aiming to understand how AI integration influences educational outcomes and student experiences across various faculties and universities. With the objective of providing a comprehensive analysis, the research employs a mixed-methods approach involving 200 participants from Medical, Computer Science, Engineering, Economics, and Education faculties. Surveys gauge AI educational skills, platform utilization, and academic performance impact, complemented by qualitative insights from interviews. Quantitative analysis reveals a significant enhancement in AI educational skills positively affecting academic performance, while qualitative findings enrich overall perceptions across faculties. Varied AI platform utilization and their impact on motivation and critical thinking skills emerge as noteworthy outcomes. The study underscores AI's transformative potential in education, with implications for curriculum design and learning strategies. As AI continues to shape education, understanding its multifaceted impact becomes crucial for educators, institutions, and policymakers, providing valuable insights for optimizing AI in diverse academic disciplines.
Investigating the Integration of Big Data Technologies in Higher Education Settings Khatera Akrami; Mursal Akrami; Fazila Akrami; Musawer Hakimi
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 2 No. 2 (2024)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/ijmst.v2i2.296

Abstract

The integration of big data technologies in higher education is a topic of growing interest due to its potential to revolutionize teaching, learning, and administrative processes. This study aims to explore the impact of big data technologies on educational practices and outcomes in higher education settings. Through a comprehensive investigation, including literature review, surveys, and statistical analysis, the study examines the utilization, effectiveness, and challenges associated with integrating big data technologies in educational settings. Key findings reveal a significant positive correlation between the utilization of big data technologies and the frequency of interaction among faculty, researchers, and practitioners. Additionally, faculty training is identified as a crucial factor influencing the successful integration of big data technologies in higher education. Institutional support emerges as a key facilitator in the effective implementation of big data technologies, while student readiness, including technological proficiency and willingness to engage, is found to positively correlate with integration efforts. The perceived effectiveness of big data technologies mediates the relationship between integration efforts and outcomes in higher education settings. Based on these findings, recommendations are provided to enhance the integration of big data technologies in higher education, including the need for continuous faculty training, institutional support, and student readiness initiatives. Overall, this study contributes to the ongoing discourse on leveraging data-driven approaches to enhance educational practices and outcomes in higher education.