从理论到实践:迈向OSINT框架,以减轻阿拉伯社会网络攻击

Ahmed Aleroud, Nour Alhussien, C. Albert
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引用次数: 0

摘要

正在进行的研究表明,社会网络安全研究人员或从业者需要考虑的问题类型。本研究对阿拉伯社交媒体上的社交网络安全的现有研究进行了调查。这表明,在进行计算社交媒体研究时,需要考虑社会政治问题。我们调查了阿拉伯社会网络攻击的范围。我们展示了对新的开源情报(OSINT)框架的需求,以识别虚假信息、机器人、巨魔、半机械人和模因。最近的研究发现,这种攻击正在以25种不同的语言传播,包括阿拉伯语;其中一些已经造成了伤害甚至死亡。我们为开发开源情报系统提供全面的需求分析,以检测阿拉伯语的社交网络攻击。我们表明,虽然有许多OSINT系统(OSINT)可以缓解英语中的此类攻击,但缓解其他语言(如阿拉伯语)中的此类攻击所需的系统仍然有限。
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From Theory to Practice: Towards an OSINT Framework to Mitigate Arabic Social Cyber Attacks
Ongoing research indicates the types of issues that need to be considered by a social cybersecurity researcher or practitioner. This study investigates the existing research on social cyber security on Arabic social media. It suggests the need to consider socio-political issues when presenting computational social media studies. We investigate the scope of social cyberattacks in Arabic. We show the need for new open-source intelligence (OSINT) framework to identify disinformation, bots, trolls, cyborgs, and memes. Recent studies have found that such attacks are spreading in 25 different languages including Arabic; some of these have caused injury and even death. We provide a comprehensive requirement analysis for developing open-source intelligence systems to detect social cyberattacks in Arabic. We show that while there are many OSINT Systems (OSINTs) to mitigate such attacks in English, systems needed to mitigate such attacks in other languages such as Arabic are still limited.
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