Yamin Mohammad, Alsaawy Yazed, B Alkhodre Ahmad, Abi Sen Adnan Ahmed
Department of Management Information Systems, Faculty of Economics and Administration, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
2 Faculty of Computer and Information Systems, Islamic University, Al-Madinah 42351, Saudi Arabia.
Sensors (Basel). 2019 Jul 31;19(15):3355. doi: 10.3390/s19153355.
Preservation of privacy of users' personal data has always been a critical issue to deal with. This issue in the Internet of Things (IoT), which facilitates millions of applications, has become even more challenging. Currently, several approaches and methods are available to safeguard privacy but each of them suffers from one or more anomalies. In particular, Trusted Third-Party approach relies on the trust of a third-party server, Cooperation needs the trust of other peers, Obfuscation is known to return inaccurate results, and Dummy generates too much overhead. Moreover, these and most of the other well-known approaches deal only with specific types of applications linked to the location-based services. In this paper, we present two new methods, namely: Blind Third Party (BTP) and Blind Peers ( B L P ), and combine them to form a new one to be known as the Blind Approach ( B L A ). With the help of simulation results we shall demonstrate the effectiveness and superiority of B L A over the other available methods. The simulation results also exhibit that B L A is free from all the existing problems of the other approaches. However, B L A causes a slight increase in the average (response) time, which we consider to be a minor issue. We shall also discuss the capability and superiority of the Blind Approach in the cases of E-health, Smart Transportation, and Smart Home systems.
保护用户个人数据的隐私一直是一个亟待解决的关键问题。在促进数百万应用程序的物联网（IoT）中，这个问题变得更具挑战性。目前，有几种方法可用于保护隐私，但每种方法都存在一个或多个异常。特别是，可信第三方方法依赖于第三方服务器的信任，协作需要其他对等方的信任，混淆已知会返回不准确的结果，而虚拟方法会产生过多开销。此外，这些方法以及大多数其他知名方法仅处理与基于位置的服务相关的特定类型的应用程序。在本文中，我们提出了两种新方法，即：盲第三方（BTP）和盲对等方（BLP），并将它们组合形成一种新的方法，称为盲方法（BLA）。借助仿真结果，我们将证明BLA相对于其他现有方法的有效性和优越性。仿真结果还表明，BLA不存在其他方法现有的所有问题。然而，BLA会使平均（响应）时间略有增加，我们认为这是一个小问题。我们还将讨论盲方法在电子健康、智能交通和智能家居系统中的能力和优越性。
