Trust Management Techniques for the Internet of Things: A Survey

Din, Ikram Ud; Guizani, Mohsen; Kim, Byung-Seo; Hassan, Suhaidi; Khan, Muhammad Khurram

doi:10.1109/access.2018.2880838

Cited by 170 publications

(34 citation statements)

References 102 publications

(128 reference statements)

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“…IoT devices may also be intermittently disconnected from the rest of the network, because of varying network conditions or duty-cycling of devices for power saving. Security and privacy [12,13]. Data collected by IoT devices is often sensitive as it can expose personal information about the user or people nearby.…”

Section: Iot and Its Characteristicsmentioning

confidence: 99%

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

Ding

et al. 2020

Sensors

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The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.

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Section: Iot and Its Characteristicsmentioning

confidence: 99%

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

Ding

et al. 2020

Sensors

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“…In an environment, there may be a variety of independent and cooperating devices to perform different tasks [37]. The environment that the user accesses, or is part of, is controlled and defines parameters and privilege criteria for user profiles.…”

Section: Environmentmentioning

confidence: 99%

PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments

et al. 2020

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Smart environments are pervasive computing systems that provide higher comfort levels on daily routines throughout interactions among smart sensors and embedded computers. The lack of privacy within these interactions can lead to the exposure of sensitive data. We present PRIPRO (PRIvacy PROfiles), a management tool that includes an Android application that acts on the user’s smartphone by allowing or blocking resources according to the context, in order to address this issue. Back-end web server processes and imposes a protocol according to the conditions that the user selected beforehand. The experimental results show that the proposed solution successfully communicates with the Android Device Administration framework, and the device appropriately reacts to the expected set of permissions imposed according to the user’s profile with low response time and resource usage.

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“…All sensed information is further forwarded to the base station (BS) via the appropriate forwarding node called the cluster head. As the network size and nodes' density increases, the network scalability with data security is most of the challenging tasks for WSNs [5][6][7][8][9]. In recent years, many solutions have been presented to improve the routing and energy efficiency for limited constraints networks, however, most of them overlooked data authentication and security in the presence of malicious nodes.…”

Section: Introductionmentioning

confidence: 99%

SASC: Secure and Authentication-Based Sensor Cloud Architecture for Intelligent Internet of Things

Haseeb

Almogren

Din

et al. 2020

Sensors

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Nowadays, the integration of Wireless Sensor Networks (WSN) and the Internet of Things (IoT) provides a great concern for the research community for enabling advanced services. An IoT network may comprise a large number of heterogeneous smart devices for gathering and forwarding huge data. Such diverse networks raise several research questions, such as processing, storage, and management of massive data. Furthermore, IoT devices have restricted constraints and expose to a variety of malicious network attacks. This paper presents a Secure Sensor Cloud Architecture (SASC) for IoT applications to improve network scalability with efficient data processing and security. The proposed architecture comprises two main phases. Firstly, network nodes are grouped using unsupervised machine learning and exploit weighted-based centroid vectors for the development of intelligent systems. Secondly, the proposed architecture makes the use of sensor-cloud infrastructure for boundless storage and consistent service delivery. Furthermore, the sensor-cloud infrastructure is protected against malicious nodes by using a mathematically unbreakable one-time pad (OTP) encryption scheme to provide data security. To evaluate the performance of the proposed architecture, different simulation experiments are conducted using Network Simulator (NS3). It has been observed through experimental results that the proposed architecture outperforms other state-of-the-art approaches in terms of network lifetime, packet drop ratio, energy consumption, and transmission overhead.

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Trust Management Techniques for the Internet of Things: A Survey

Cited by 170 publications

References 102 publications

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments

SASC: Secure and Authentication-Based Sensor Cloud Architecture for Intelligent Internet of Things

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