Hierarchical architecture and protocol for mobile object authentication in the context of IoT smart cities

Saadeh, Maha; Sleit, Azzam; Sabri, Khair Eddin; Almobaideen, Wesam

doi:10.1016/j.jnca.2018.07.009

Cited by 36 publications

(13 citation statements)

References 22 publications

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“…This taxonomy process produces the following eight categories, are shown in Figure 3 with their included number of publications: Authentication : [ 12 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , ...…”

Section: Taxonomy and Trendsmentioning

confidence: 99%

Systematic Review of Authentication and Authorization Advancements for the Internet of Things

Trnka

Abdelfattah

Shrestha

et al. 2022

Sensors

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Technologies for the Internet of Things (IoT) are maturing, yet no common standards dictate their direction, leaving space for a plethora of research directions and opportunities. Among the most important IoT topics is security. When we design a robust system, it is important to know the available options for facing common tasks related to access control, authentication, and authorization. In this review, we systematically analyze 1622 peer-reviewed publications from October 2017 to December 2020 to find the taxonomy of security solutions. In addition, we assess and categorize current practices related to IoT security solutions, commonly involved technologies, and standards applied in recent research. This manuscript provides a practical road map to recent research, guiding the reader and providing an overview of recent research efforts.

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Section: Taxonomy and Trendsmentioning

confidence: 99%

Systematic Review of Authentication and Authorization Advancements for the Internet of Things

Trnka

Abdelfattah

Shrestha

et al. 2022

Sensors

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show abstract

“…For the reasons indicated above, versatility and high performance were identified as fundamental characteristics of the SPIDEP project. These characteristics allow the needs of the environment of health organisations to be satisfied via a focus on agile scaling of microservices that are heavily used and replicating them across multiple containers without underutilising computing resources [19], [30].…”

Section: Related Workmentioning

confidence: 99%

“…The main arguments for this approach are as follows: [33], with the aim of achieving greater tolerance to errors in the cloud environment, for example by using MapReduce to manage data in distributed processing [34] and Apache Hadoop to store the data corresponding to each group of microservices within NoSQL database storage structures (Cassandra) [35]. The infrastructure layer also processes complex computation tasks from the upper layers, such as those relating to authentication or interoperability, by alleviating overloaded public or private cloud resources for other primary functions [30], [36], running on Docker containers [37]. In addition, all the interactions between the services within the architecture are processed by the REST API gateway, which acts as a proxy for the microservices (single-entry point into the platform) [38].…”

Section: A Design Of the Architecturementioning

confidence: 99%

Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

et al. 2020

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This article describes the design, development and implementation of a set of microservices based on an architecture that enables detection and assisted clinical diagnosis within the field of infectious diseases of elderly patients, via a telemonitoring system. The proposed system is designed to continuously update a medical database fed with vital signs from biosensor kits applied by nurses to elderly people on a daily basis. The database is hosted in the cloud and is managed by a flexible microservices software architecture. The computational paradigms of the edge and the cloud were used in the implementation of a hybrid cloud architecture in order to support versatile high-performance applications under the microservices pattern for the pre-diagnosis of infectious diseases in elderly patients. The results of an analysis of the usability of the equipment, the performance of the architecture and the service concept show that the proposed e-health system is feasible and innovative. The system components are also selected to give a cost-effective implementation for people living in disadvantaged areas. The proposed e-health system is also suitable for distributed computing, big data and NoSQL structures, thus allowing the immediate application of machine learning and AI algorithms to discover knowledge patterns from the overall population.

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“…In future, there are tremendous applications of IoT for smart cities 123‐127 . In IoT, energy efficiency and interoperability perspectives are two prime challenges and this could improved the possibilities of use in the area of precision agriculture, smart disaster management systems, and developing many intelligent applications 128‐133 …”

Section: Research Challenges and Future Initiativesmentioning

confidence: 99%

A systematic survey on internet of things: Energy efficiency and interoperability perspective

Rana

Singh

2020

Trans Emerging Tel Tech

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With the provision of rapid advancement in smart devices used in various technological fields exponentially increases the heterogeneity and energy consumption in internet of things (IoT). The technological leap in information and communication technology instigates the heterogeneity in smart devices, frameworks, architectures, communication technologies, and various industrial and nonindustrial applications. Therefore, a detailed taxonomy of IoT is proposed covering the diverse aspect of IoT lacking interoperability and energy efficiency. Existing research lacks the root causes of heterogeneity and energy consumption at the industrial and technological level. Keeping this in view, our research identified industrial integration and technological challenges. Moreover, we explore the effect on IoT devices when different types of energy harvesters are connected with IoT devices. Our comprehensive research addresses the various issues such as resource management, fog data analytics, energy consumption, heterogeneity, scalability, and the role of quality of service, data science, machine learning to accomplish interoperability and energy efficiency in IoT.

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Hierarchical architecture and protocol for mobile object authentication in the context of IoT smart cities

Cited by 36 publications

References 22 publications

Systematic Review of Authentication and Authorization Advancements for the Internet of Things

Systematic Review of Authentication and Authorization Advancements for the Internet of Things

Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

A systematic survey on internet of things: Energy efficiency and interoperability perspective

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