相互连接和弹性:对全球贸易中人工智能驱动的网络攻击的CGE分析
Rehab Osman1, Sherif El-Gendy2
1Oxford Brookes University, Oxford, UK.
概括
人工智能 (AI) 驱动的网络攻击对全球贸易和供应链构成重大经济风险. 通过积极的措施建立网络弹性对于减轻这些威胁和确保安全的数字未来至关重要.
科学领域:
- 经济学 经济学 经济学
- 网络安全 网络安全
- 国际贸易 国际贸易 国际贸易
背景情况:
- 全球贸易在数字时代越来越相互联系,创造了新的脆弱性.
- 人工智能 (AI) 驱动的网络攻击对经济稳定和供应链构成严重威胁.
研究的目的:
- 探索人工智能驱动的网络攻击对全球贸易和供应链的级联经济影响.
- 分析网络弹性战略在缓解这些影响方面的有效性.
主要方法:
- 使用可计算的一般平衡 (CGE) 建模.
- 设计模拟场景来评估网络攻击的经济影响.
- 分析重点集中在高度依赖数字和综合供应链的地区.
主要成果:
- 模拟显示,实际GDP,贸易价格和贸易量大幅下降.
- 确定主要经济体 (中国,美国,英国,欧盟) 由于网络集成而特别脆弱.
- 证明了网络弹性措施可以大大减轻负面经济后果.
结论:
- 人工智能驱动的网络攻击对全球贸易和经济构成重大风险.
- 网络性,包括适应性系统和强大的基础设施,对于减轻这些风险至关重要.
- 迫切需要全球合作,以加强网络安全并建立有弹性的贸易框架.
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