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A secure anonymous tracing fog-assisted method for the Internet of Robotic Things
Library Hi Tech ( IF 1.623 ) Pub Date : 2020-10-29 , DOI: 10.1108/lht-09-2020-0217
Abdulrahman Alamer

Purpose

Employing a fog computing (FC) network system in the robotic network system is an effective solution to support robotic application issues. The interconnection between robotic devices through an FC network can be referred as the Internet of Robotic Things (IoRT). Although the FC network system can provide number of services closer to IoRT devices, it still faces significant challenges including real-time tracing services and a secure tracing services. Therefore, this paper aims to provide a tracking mobile robot devices in a secure and private manner, with high efficiency performance, is considered essential to ensuring the success of IoRT network applications.

Design/methodology/approach

This paper proposes a secure anonymous tracing (SAT) method to support the tracing of IoRT devices through a FC network system based on the Counting Bloom filter (CBF) and elliptic curve cryptography techniques. With the proposed SAT mechanism, a fog node can trace a particular robot device in a secure manner, which means that the fog node can provide a service to a particular robot device without revealing any private data such as the device's identity or location.

Findings

Analysis shows that the SAT mechanism is both efficient and resilient against tracing attacks. Simulation results are provided to show that the proposed mechanism is beneficial to support IoRT applications over an FC network system.

Originality/value

This paper represents a SAT method based on CBF and elliptic curve cryptography techniques as an efficient mechanism that is resilient against tracing attacks.



中文翻译:

一种用于机器人物联网的安全匿名追踪雾辅助方法

目的

在机器人网络系统中采用雾计算(FC)网络系统是支持机器人应用问题的有效解决方案。机器人设备之间通过 FC 网络实现的互联可以称为机器人物联网(IoRT)。虽然 FC 网络系统可以提供更接近物联网设备的服务数量,但它仍然面临着包括实时追踪服务和安全追踪服务在内的重大挑战。因此,本文旨在提供一种以安全和私密的方式跟踪移动机器人设备,具有高效性能,被认为是确保物联网网络应用成功的关键。

设计/方法/方法

本文提出了一种基于计数布隆过滤器(CBF)和椭圆曲线密码技术的安全匿名跟踪(SAT)方法,通过FC网络系统支持对IoRT设备的跟踪。通过提出的 SAT 机制,雾节点可以以安全的方式跟踪特定的机器人设备,这意味着雾节点可以为特定的机器人设备提供服务,而不会泄露任何私人数据,例如设备的身份或位置。

发现

分析表明,SAT 机制对跟踪攻击既有效又具有弹性。仿真结果表明,所提出的机制有利于支持 FC 网络系统上的 IoRT 应用程序。

原创性/价值

本文介绍了一种基于 CBF 和椭圆曲线密码技术的 SAT 方法,作为一种有效的机制,可以抵御跟踪攻击。

更新日期:2020-10-29
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