Towards a provenance collection framework for Internet of Things devices
Towards a provenance collection framework for Internet of Things devices
复制标题
DOI：
10.1109/uic-atc.2017.8397531
复制
发表时间：
2017-08
期刊：
影响因子：
--
通讯作者：
E. Nwafor;Andre Campbell;David Hill;Gedare Bloom
中科院分区：
文献类型：
--
作者：
E. Nwafor;Andre Campbell;David Hill;Gedare Bloom
物联网（IoT）通过使设备能够利用网络资源从而做出智能决策来提供巨大的好处。物联网系统中存在的众多异构连接设备带来了新的安全和隐私问题。其中一些问题可以通过信任、透明度和完整性来克服，这些都可以通过数据出处来实现。数据起源，也称为数据沿袭，提供了数据对象从创建到当前状态的转换历史。数据来源已经在科学计算、商业、取证分析和入侵检测等领域进行了探索。数据出处可以帮助检测和减轻恶意网络攻击。在本文中，我们将探讨物联网中的起源整合。我们介绍了物联网系统（PAIoTS）的起源感知，物联网设备的起源收集框架。我们评估我们的框架的有效性，通过开发一个原型系统的概念证明。
The Internet of Things (IoT) offers immense benefits by enabling devices to leverage networked resources thereby making intelligent decisions. The numerous heterogeneous connected devices that exist throughout the IoT system creates new security and privacy concerns. Some of these concerns can be overcome through trust, transparency, and integrity, which can be achieved with data provenance. Data provenance, also known as data lineage, provides a history of transformations that occurs on a data object from the time it was created to its current state. Data provenance has been explored in the areas of scientific computing, business, forensic analysis, and intrusion detection. Data provenance can help in detecting and mitigating malicious cyber attacks. In this paper, we explore the integration of provenance within the IoT. We introduce Provenance Aware Internet of Things System (PAIoTS), a provenance collection framework for IoT devices. We evaluate the effectiveness of our framework by developing a prototype system for proof of concept.