论文标题
海报摘要：迈向物联网的可扩展和值得分散的分散协作侵入检测系统
Poster Abstract: Towards Scalable and Trustworthy Decentralized Collaborative Intrusion Detection System for IoT
论文作者
论文摘要
入侵检测系统（IDS）旨在通过部署连续监视网络流量的检测器来提醒用户传入的攻击。为了提高检测功能，一组独立ID检测器通常会协作以建立整体网络表示的智能，这被称为协作入侵检测系统（CIDS）。但是，开发有效的CID，尤其是对于物联网生态系统，带来了一些挑战。区块链技术的最新趋势和进步提供了分布式信任和安全不变的存储的保证，可能有助于设计有效的CID。在此海报摘要中，我们介绍了基于区块链技术的IoT分散的CID的持续工作。我们提出了一个提供负责任的信托基金会的架构，该建筑通过交换Bloom过滤器来促进激励措施和惩罚以及可扩展的入侵信息存储。我们目前正在本地测试床中实施模块化体系结构的概念验证，并评估其在检测物联网网络和相关开销中常见攻击方面的有效性。
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.
