首页> 外文会议>International Conference on Internet-of-Things Design and Implementation >Poster Abstract: Towards Scalable and Trustworthy Decentralized Collaborative Intrusion Detection System for IoT
【24h】

Poster Abstract: Towards Scalable and Trustworthy Decentralized Collaborative Intrusion Detection System for IoT

机译:海报摘要:对IOT的可扩展和值得信赖的分散的协作入侵检测系统

获取原文

摘要

An Intrusion Detection System (IDS) aims to alert users of incoming attacks by deploying a detector that monitors network traffic continuously. As an effort to increase detection capabilities, a set of independent IDS detectors typically work collaboratively to build intelligence of holistic network representation, which is referred to as Collaborative Intrusion Detection System (CIDS). However, developing an effective CIDS, particularly for the IoT ecosystem raises several challenges. Recent trends and advances in blockchain technology, which provides assurance in distributed trust and secure immutable storage, may contribute towards the design of effective CIDS. In this poster abstract, we present our ongoing work on a decentralized CIDS for IoT, which is based on blockchain technology. We propose an architecture that provides accountable trust establishment, which promotes incentives and penalties, and scalable intrusion information storage by exchanging bloom filters. We are currently implementing a proof-of-concept of our modular architecture in a local test-bed and evaluate its effectiveness in detecting common attacks in IoT networks and the associated overhead.
机译:入侵检测系统(IDS)旨在通过部署持续监控网络流量的探测器来提醒用户传入攻击。作为增加检测能力的努力,一组独立的ID检测器通常协同工作以构建整体网络表示的智能,这被称为协作入侵检测系统(CID)。但是,开发有效的CID,特别是对于物联网生态系统提出了几种挑战。最近的趋势和区间技术的进步,可提供分布式信任和安全的不可改变存储,可能导致有效CID的设计。在这篇海报中,我们向IoT的分散CID展示了我们的持续工作,该CID是基于区块的技术。我们提出了一种提供负责任的信托建立的建筑,通过交换绽放过滤器来促进激励和处罚,以及可扩展的入侵信息存储。我们目前正在在本地测试床上实施模块化架构的验证,并评估其在检测IoT网络和相关开销中的常见攻击方面的有效性。

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