首页> 外文会议>Military Communications Conference;MILCOM 2012 >Best-effort Data Leakage Prevention in inter-organizational tactical MANETs
【24h】

Best-effort Data Leakage Prevention in inter-organizational tactical MANETs

机译:组织间战术MANET中的尽力而为数据泄漏预防

获取原文
获取原文并翻译 | 示例

摘要

Reconfigurable Radio Systems (RRS), based on Software Defined Radio (SDR) and Mobile Ad-hoc Network (MANET) technologies, offer considerable advantages for military operations, such as increased network survivability and interoperability. The RRS-based Common Tactical Radio System (GTRS), currently in development by the Swedish Armed Forces, is designed for use in diverse geographical settings and for purposes varying from international combat missions to national contingency operations. However, protecting these networks from attacks and safeguarding the carried information against leaks is an ongoing research challenge, especially in combined scenarios where tactical data may flow across organizational boundaries. This paper presents a best-effort approach to Data Leakage Prevention (DLP) for inter-organizational RRS-based networks. The proposed architecture makes use of data mining techniques and an efficient n-dimensional clustering algorithm which has previously been successfully used for real-time anomaly detection in critical infrastructure protection. The DLP architecture is developed as an extension to the GTRS system, modeled and simulated in OPNET™ Modeler. Our results show that common data leaks can be efficiently identified by the proposed scheme, while keeping the important false positive rate at a very low level.
机译:基于软件定义无线电(SDR)和移动自组织网络(MANET)技术的可重配置无线电系统(RRS)为军事行动提供了可观的优势,例如增加了网络生存能力和互操作性。瑞典武装部队目前正在开发基于RRS的通用战术无线电系统(GTRS),其设计目的是在各种地理环境中使用,以及从国际作战任务到国家应急行动的各种目的。但是,保护这些网络免受攻击并保护所携带的信息免受泄漏是一项持续的研究挑战,尤其是在战术数据可能跨越组织边界流动的组合情况下。本文提出了一种针对组织间基于RRS的网络的尽力而为的数据泄漏防护(DLP)方法。所提出的体系结构利用了数据挖掘技术和高效的n维聚类算法,该算法先前已成功用于关键基础设施保护中的实时异常检测。 DLP体系结构是GTRS系统的扩展,可以在OPNET™Modeler中进行建模和仿真。我们的结果表明,所提出的方案可以有效地识别常见数据泄漏,同时将重要的误报率保持在非常低的水平。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号