论文标题
通过交通检查实施安全系统以检测和预防组织中数据损失/泄漏
Implementation of Security Systems for Detection and Prevention of Data Loss/Leakage at Organization via Traffic Inspection
论文作者
论文摘要
对于许多大型组织来说，数据丢失/泄漏预防（DLP）仍然是主要问题。有多个新兴安全性附加方案和无限数量的克服解决方案。当今企业的主要关注点是保护机密信息，因为损害机密数据的泄漏意味着敏感信息掌握在竞争对手的手中。需要保护不同的数据类型。但是，我们的研究仅集中在运动中的数据（DIM）I-E数据中传输的数据。本文的研究和场景展示了有关信息和数据泄漏事件的最新调查，该调查揭示了其重要性，还提出了一种模型解决方案，该解决方案将根据使用高级内容检查器的新方法与机器学习在组织内部保护数据的使用，然后采取措施采取措施，然后采取措施采取措施。本文还提出了网关级别的DLP部署设计，该设计显示了在使用Squid代理服务器和ICAP服务器到达最终目的地之前，数据如何通过中间通道移动。
Data Loss/Leakage Prevention (DLP) continues to be the main issue for many large organizations. There are multiple numbers of emerging security attach scenarios and a limitless number of overcoming solutions. Today's enterprises' major concern is to protect confidential information because a leakage that compromises confidential data means that sensitive information is in competitors' hands. Different data types need to be protected. However, our research is focused only on data in motion (DIM) i-e data transferred through the network. The research and scenarios in this paper demonstrate a recent survey on information and data leakage incidents, which reveals its importance and also proposed a model solution that will offer the combination of previous methodologies with a new way of pattern matching by advanced content checker based on the use of machine learning to protect data within an organization and then take actions accordingly. This paper also proposed a DLP deployment design on the gateway level that shows how data is moving through intermediate channels before reaching the final destination using the squid proxy server and ICAP server.
