网络安全隐私信息交换（CYBEX-P）和TAHOE --一种网络威胁语言
Cybersecurity Information Exchange with Privacy (CYBEX-P) and TAHOE -- A Cyberthreat Language
摘要：
网络安全信息共享（CIS）旨在更有效地保护组织免受高级网络攻击。然而，完全自动化的CIS平台并没有被广泛采用。主要挑战是：（1）缺乏强大的网络威胁语言（CTL）和（2）对数据隐私的担忧。这项工作介绍了网络安全信息交换与隐私（CYBEX-P），作为一个CIS框架，以应对这些挑战。CYBEX-P允许组织通过基于属性的隐私控制来共享异构数据。它将数据关联起来，自动生成直观的报告和防御规则。为了实现这样的通用性，我们已经开发了TAHOE -一个基于图形的CTL。TAHOE是一种用于存储、共享和分析威胁数据的结构。它还内在地关联数据。我们进一步开发了一个通用的威胁数据查询语言（TDQL）。在本文中，我们提出了CYBEX-P的系统架构，然后讨论了它的可扩展性和隐私功能，以及CYBEX-P提供基础设施即服务（IaaS）的用例。我们进一步引入TAHOE和TDQL作为现有CTL的更好的替代品，并制定了ThreatRank -一种检测新恶意事件的算法，
英文摘要：
Cybersecurity information sharing (CIS) is envisioned to protect organizations more effectively from advanced cyber attacks. However, a completely automated CIS platform is not widely adopted. The major challenges are: (1) the absence of a robust cyber threat language (CTL) and (2) the concerns over data privacy. This work introduces Cybersecurity Information Exchangewith Privacy (CYBEX-P), as a CIS framework, to tackle these challenges. CYBEX-P allows organizations to share heterogeneous data with granular, attribute based privacy control. It correlates the data to automatically generate intuitive reports and defensive rules. To achieve such versatility, we have developed TAHOE - a graph based CTL. TAHOE is a structure for storing,sharing and analyzing threat data. It also intrinsically correlates the data. We have further developed a universal Threat Data Query Language (TDQL). In this paper, we propose the system architecture for CYBEX-P. We then discuss its scalability and privacy features along with a use case of CYBEX-P providing Infrastructure as a Service (IaaS). We further introduce TAHOE& TDQL as better alternatives to existing CTLs and formulate ThreatRank - an algorithm to detect new malicious even
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
