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A Framework to Prevent Cybercrime in the UAE.

Authors :
Tubaishat, Abdallah
AlAleeli, Humaid
Source :
Procedia Computer Science; 2024, Vol. 238, p558-565, 8p
Publication Year :
2024

Abstract

Cyber threats are constantly evolving, making it crucial for organizations in the UAE to enhance their cybersecurity strategies. This study focuses on understanding and countering organized and unorganized cybercrimes within the UAE. Organizations strengthen outer defences but often neglect protecting sensitive data internally. Insiders, individuals with intricate knowledge of system cycles, can cause substantial damage. Their motivations vary, from stealing data to causing harm, making it essential for organizations to comprehend and counter these threats effectively. The study employs qualitative analysis methods and in-depth interviews with key cybersecurity experts across various sectors. Through these discussions, we identified key defensive strategies utilized by different entities in the UAE. Our research highlights the significance of securing networking routes and data transformation pathways, underscoring the need for a proactive cybersecurity approach. Through qualitative analysis and expert interviews, we pinpointed specific defensive methods used by individuals, small organizations, and government/private sectors in the UAE. Additionally, we delve into the motivations of insiders, highlighting their substantial threat due to their in-depth understanding of network layouts, applications, and business practices. By securing these aspects, organizations can identify essential security concerns and develop robust, effective plans. We suggested practical steps to improve cybersecurity frameworks, aiming to prevent data breaches, strengthen security strategies, and promote a cybersecurity-aware mindset. By implementing these strategies, organizations can enhance their defences, foster a culture of cybersecurity awareness, and safeguard digital assets in the UAE. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
238
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
178317989
Full Text :
https://doi.org/10.1016/j.procs.2024.06.060