网络受害:阿联酋的个案研究

Abdelrahman Abdalla Humaid Al-Ali, Ameer Al-Nemrat
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引用次数: 4

摘要

阿联酋公民广泛使用互联网,是世界上普及率最高的国家之一,但成为网络犯罪受害者的可能性很高。采用了定量横断面在线调查策略来收集有关网络犯罪和网络受害的数据,以支持确定解决阿联酋网络受害问题的最适当方法。结果表明,阿联酋网络受害的主要模式是身份欺诈、网络骚扰和网络攻击,其影响主要在心理/情感层面。有证据表明,网络活动与上网时间和网络受害者之间存在密切联系。人们普遍认为,立法措施未能充分解决网络受害问题,惩罚措施过于宽松。逻辑回归分析表明,网络受害的可能性与技术监护、在线行为和使用、计算机熟练程度、在线时间、居住地区和性别有关。分类和回归树分析确定了不同的模式,表明用户特征包括安全措施和在线日常行为。调查结果支持制定全面的事件响应框架(IRF),这是告知法律当局和受害者服务提供所必需的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cyber Victimization: UAE as a Case Study
The Internet has been widely adopted by UAE citizens, with one of the highest penetration rates in the world, yet the potential to become a victim of cybercrime is high. A quantitative cross-sectional online survey strategy was adopted to collect the data on cybercrime and cybervictimisation to support the identification of the most appropriate approaches to address cybervictimisation in the UAE. The results indicate the key patterns of cybervictimisation in the UAE as identity fraud, cyberharassment and cyber attack, with impacts mainly on a psychological/emotional level. Evidence pointed to strong associations between online activity and time spent online and cybervictimisation. There was a significant perception that legislative measures did not sufficiently address cybervictimisation and punitive measures were lenient. Logistic regression analysis indicated likelihood of cybervictimisation was associated with technical guardianship, online behaviour and usage, computer proficiency, time spent online, region of residence and gender. Classification and regression tree analysis identified different patterns indicating user characteristics consisting of security measures and online routine behaviour. The findings support the development of a comprehensive Incident Response Framework (IRF), which is needed to inform legal authorities and victim service provision.
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