Villegas-Ch William, García-Ortiz Joselin
Escuela de Ingeniería en Ciberseguridad, Facultad de Ingenierías y Ciencias aplicada, Universidad de Las Américas, Quito, Ecuador.
Front Big Data. 2023 Aug 31;6:1200390. doi: 10.3389/fdata.2023.1200390. eCollection 2023.
Perimeter security in data centers helps protect systems and the data they store by preventing unauthorized access and protecting critical resources from potential threats. According to the report of the information security company SonicWall, in 2021, there was a 66% increase in the number of ransomware attacks. In addition, the message from the same company indicates that the total number of cyber threats detected in 2021 increased by 24% compared to 2019. Among these attacks, the infrastructure of data centers was compromised; for this reason, organizations include elements Physical such as security cameras, movement detection systems, authentication systems, etc., as an additional measure that contributes to perimeter security. This work proposes using artificial intelligence in the perimeter security of data centers. It allows the automation and optimization of security processes, which translates into greater efficiency and reliability in the operations that prevent intrusions through authentication, permit verification, and monitoring critical areas. It is crucial to ensure that AI-based perimeter security systems are designed to protect and respect user privacy. In addition, it is essential to regularly monitor the effectiveness and integrity of these systems to ensure that they function correctly and meet security standards.
数据中心的边界安全通过防止未经授权的访问并保护关键资源免受潜在威胁，有助于保护系统及其存储的数据。根据信息安全公司SonicWall的报告，2021年勒索软件攻击数量增加了66%。此外，同一家公司的消息表明，2021年检测到的网络威胁总数与2019年相比增加了24%。在这些攻击中，数据中心的基础设施遭到了破坏；因此，组织将安全摄像头、运动检测系统、认证系统等物理元素作为有助于边界安全的额外措施。这项工作提出在数据中心的边界安全中使用人工智能。它允许安全流程的自动化和优化，这转化为在通过认证防止入侵、许可验证和监控关键区域的操作中更高的效率和可靠性。确保基于人工智能的边界安全系统旨在保护和尊重用户隐私至关重要。此外，定期监控这些系统的有效性和完整性以确保它们正常运行并符合安全标准也很重要。
