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对关键区域的身份验证,访问和监控系统使用人工智能集成到数据中心的外围安全中
William Villegas-Ch1, Joselin García-Ortiz1
1Escuela de Ingeniería en Ciberseguridad, Facultad de Ingenierías y Ciencias aplicada, Universidad de Las Américas, Quito, Ecuador.
人工智能通过自动化威胁检测和访问控制来增强数据中心外围安全性. 这种人工智能集成提高了防止网络入侵和保护敏感信息的效率和可靠性.
科学领域:
- 网络安全 网络安全
- 数据中心运营数据中心运营
- 人工智能应用程序 人工智能应用程序
背景情况:
- 数据中心外围安全对于保护系统和数据免受未经授权访问至关重要.
- 包括勒索软件在内的网络威胁在2021年显著增加,影响了数据中心基础设施.
- 目前使用的是物理安全措施,但可以通过先进的技术来加强.
研究的目的:
- 建议将人工智能 (AI) 整合到数据中心外围安全中.
- 利用人工智能自动化和优化安全流程.
- 提高防入侵系统的效率和可靠性.
主要方法:
- 利用人工智能进行增强的身份验证和许可证验证.
- 实现人工智能用于关键数据中心区域的自动监控.
- 专注于人工智能驱动的解决方案,以积极检测和应对威胁.
主要成果:
- 人工智能可以自动化和优化周边安全流程.
- 在防止未经授权的访问和入侵方面提高了效率和可靠性.
- 通过智能监控和验证来实现更强大的安全潜力.
结论:
- 人工智能为数据中心外围安全提供了显著的进步.
- 基于人工智能的系统可以通过自动化身份验证和监控来增强入侵预防.
- 确保用户隐私和定期的系统完整性检查对于AI安全实施至关重要.
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