基于预测分析的云基础设施网络安全框架

Akashdeep Bhardwaj, Keshav Kaushik
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引用次数: 4

摘要

对于任何组织和个人来说,最有价值的资产是数据及其所包含的信息。这就是信息安全成为董事会和高管会议最关心的问题的主要原因。现在,安全故障和数据泄露可能会影响一个组织或一个国家的预算经济。为了降低网络安全风险,提高数据保护水平,迫切需要实施标准的网络安全框架。该框架通过包括策略、指南、标准和实践以及来自云基础设施系统(如网络、服务器、安全系统和最终用户设备)的数据源来利用AI和ML。将收集的数据集和风险治理信息与人工智能和机器学习相结合。本研究提出了一个框架,该框架收集数据集,丰富和验证日志和数据集,然后使用ML模型将它们关联起来,以高水平的准确性分析和预测对网络攻击的响应。
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Predictive Analytics-Based Cybersecurity Framework for Cloud Infrastructure
The most valuable asset for any organization and individual is data and the information it holds. This is the main reason for Information Security to be the top concern in boardrooms and executive meetings. Security failures and data breaches now can impact an organization or a country's budget economy. To reduce Cybersecurity risks and improve data protection, there is an urgent need to implement a standard Framework for Cybersecurity. This framework utilizes AI and ML by including Policies, Guidelines, Standards and Practices, and data sources from Cloud Infrastructure systems like networks, servers, security systems, and end-user devices. Combining the data set gathered and risk governance information with Artificial Intelligence and Machine Learning. This research presents a framework that collects datasets, enriches and validates logs and datasets, then correlates them to analyze and predict the response to Cyber attack with high level of accuracy using ML model.
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