网络入侵检测联合防御的神经元安全性

Jain-Shing Wu
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引用次数: 0

摘要

互联网连接和电子服务的爆炸式增长对安全技术产生了前所未有的需求。由于网络世界中各种攻击方式的多样化和不断发展,主机和网络安全变得越来越重要和复杂。目前开发的大多数技术都是通过使用不同的诊断和检测方法来保护单个系统和有限的网络范围。商业和非商业解决方案,称为IDS(入侵检测系统),通常通过收集检测模式来维护自己的专有数据库。一般来说,收集到的模式越多,数据库更新得越快,其捆绑的IDS解决方案的功能就越强。然而,由于覆盖范围的限制和意识的滞后,仍然有越来越多的新发现的漏洞,单个IDS无法赶上。原因有二:1)任何一个专有的IDS都无法收集每天在Internet世界中出现的如此多的检测模式。2)在某些专有IDS保护下的系统无法获得新的检测模式的即时通知,其中大多数是由其他IDS发现的。为了降低新型攻击的覆盖限制和时延风险,提出了一种像人的神经系统一样对系统内的每个节点进行全面保护的联合防御服务框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The neuron security of joint defense for network intrusion detection
The explosive growth in Internet connectivity and e-service has resulted in unprecedented demands for security technologies. Host and network security are getting more critical and more complex due to the diversified and evolved ways of attack form anyplace in Internet world. Most of the technologies been developed are focusing on protecting individual systems and limited scope of network by using different diagnosis and detection approaches. Both commercial and noncommercial solutions, called IDS (intrusion detection system), usually maintain their own proprietary databases by collecting detection patterns. In general, more patterns collected and more up-to-date of the databases surely increase the capabilities of their bundled IDS solutions. However, due to the coverage limitation and late awareness, there still have new growing uncovered breaches that single IDS would not be able to catch up. The reasons are two: 1) Any one proprietary IDS is incapable of collecting so many detection patterns daily brought up in Internet world. 2) Systems under certain proprietary IDS's protection are unable to get instant notification of new detection patterns, most of which are discovered by other IDSs. In order to reduce the risks of coverage limitation and time delay of new types of attack, a joint defense service framework is been proposed, which work as human nervous system to protect every nodes within the system at all.
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