IoTranx:更安全的智能空间交易

Chao Chen, A. Helal, Zhi Jin, Mingyue Zhang, Choonhwa Lee
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引用次数: 3

摘要

智能家居等智能空间提供数字化服务,优化空间使用,提升用户体验。它们由物联网(IoT)、人和物理内容组成。它们与传统计算机系统的不同之处在于,它们的网络物理性质与用户和建筑环境密切相关。在这些空间中,编程不良的应用程序的影响不仅仅是数据丢失或计算机崩溃,还可能对空间及其用户造成潜在的物理损害。因此,确保智能空间安全对于成功地为我们的日常生活提供贴心和便利的服务至关重要。通过将智能空间建模为一个高度动态的数据库,我们将物联网事务(类似于数据库事务)作为编程和执行服务的抽象,作为智能空间中设备的处理。与采用“干净房间方法”的传统数据库管理系统不同,智能空间采用“脏房间方法”,其中不完美和无法实现完全控制和保证是新的常态。我们将原子性、隔离性、完整性和持久性(AI 2d)确定为定义物联网事务的安全运行时行为所必需的属性集,以维护执行的“允许设备设置”,并避免或检测和解决“不允许设置”。此外,我们引入了一个锁协议,利用锁概念的变化,在事务处理期间强制执行AI 2d安全属性。我们给出了一个简短的协议正确性证明和一个详细的分析模型来评估其性能。
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IoTranx: Transactions for Safer Smart Spaces
Smart spaces such as smart homes deliver digital services to optimize space use and enhance user experience. They are composed of an Internet of Things (IoT), people, and physical content. They differ from traditional computer systems in that their cyber-physical nature ties intimately with the users and the built environment. The impact of ill-programmed applications in such spaces goes beyond loss of data or a computer crash, risking potentially physical harm to the space and its users. Ensuring smart space safety is therefore critically important to successfully deliver intimate and convenient services surrounding our daily lives. By modeling smart space as a highly dynamic database, we present IoT Transactions, an analogy to database transactions, as an abstraction for programming and executing the services as the handling of the devices in smart space. Unlike traditional database management systems that take a “clear room approach,” smart spaces take a “dirty room approach” where imperfection and unattainability of full control and guarantees are the new normal. We identify Atomicity, Isolation, Integrity and Durability (AI 2 D) as the set of properties necessary to define the safe runtime behavior for IoT transactions for maintaining “permissible device settings” of execution and to avoid or detect and resolve “impermissible settings.” Furthermore, we introduce a lock protocol, utilizing variations of lock concepts, that enforces AI 2 D safety properties during transaction processing. We show a brief proof of the protocol correctness and a detailed analytical model to evaluate its performance.
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