Enhance the security in smart home applications based on IOT-CoAP protocol

Halabi, Dana; Hamdan, Salam; Almajali, Sufyan

doi:10.1109/dinwc.2018.8357000

Cited by 21 publications

(11 citation statements)

References 13 publications

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“…In [146] was the proposed solution using Privacy-Preserving Communication Protocol, which controls transmission by asymmetric encryption in which secret keys are generated chaotically. A protocol called IOT-CoAP was proposed in [147]. The solution improves the security of data by introducing hash functions SHA-1, SHA224 I SHA 256.…”

Section: B Security In Data Managementmentioning

confidence: 99%

Smart Homes: How Much Will They Support Us? A Research on Recent Trends and Advances

et al. 2021

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The advances in the Internet of Things (IoT) provide several chances to develop a variety of innovations supporting smart home users in several industries including healthcare, energy management, etc. Ubiquitous support by intelligent appliances at modern homes, which constantly work to gather information can help us to solve everyday issues. In this paper, we present a comparative study of recent advances in smart home development. The study aims to present the main trends in this field. During the analysis of the research reports and patents, we identify the propositions that constitute the main research streams. Through extensive analysis, we provide an outlook on the wide spectrum of the proposed solutions. We also analyze the main market to present which publishers are leading with the innovative science in this field. We also show the leaders of science and technology in the World. Finally, we define the ratio of the developments and outline the next stage of the development in the smart home industry. INDEX TERMS Internet of Things (IoT), smart home, healthcare, energy management, security. I. INTRODUCTION O VER time, the type of home was evolving. The shape of the house was evolving during ages, cultural revolutions, and climate changes. We have divided our homes into rooms devoted to sleeping, cooking, work, children, sanitary needs, warehousing, etc. People started to settle in various locations and continents.

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Section: B Security In Data Managementmentioning

confidence: 99%

Smart Homes: How Much Will They Support Us? A Research on Recent Trends and Advances

et al. 2021

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“… In the P2A architecture, IoT data privacy is considered; however, the integrity of the data is not. A lightweight constrained application protocol (CoAP) proposed in [ 156 ] could be used in communication between IoT devices and fog nodes, handling the integrity of the transmitted message without affecting performance. In TTM [ 136 ], trained models are transferred without considering the integrity of the trained models.…”

Section: Current Ecas-iot Limitationsmentioning

confidence: 99%

“… In TTM [ 136 ], trained models are transferred without considering the integrity of the trained models. A lightweight integrity protocol should be employed in this architecture, such as the one proposed in [ 156 ]. …”

Section: Current Ecas-iot Limitationsmentioning

confidence: 99%

“…The following are examples of ECAs-IoT that do not scale well: IFogStor [ 117 ] and iFogstorZ [ 117 ] do not scale well in LSD-IoT due to a loss of optimality when the data producer and consumer are not located in the same geographical area. Optimizing resources sharing using clustering resources improves scalability [ 156 ]. The MFSA [ 76 ] architecture consists of a controller that knows the entire network.…”

Section: Current Ecas-iot Limitationsmentioning

confidence: 99%

“…IFogStor [ 117 ] and iFogstorZ [ 117 ] do not scale well in LSD-IoT due to a loss of optimality when the data producer and consumer are not located in the same geographical area. Optimizing resources sharing using clustering resources improves scalability [ 156 ].…”

Section: Current Ecas-iot Limitationsmentioning

confidence: 99%

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Edge-Computing Architectures for Internet of Things Applications: A Survey

Hamdan

Ayyash

Almajali

2020

Sensors

Self Cite

116

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The rapid growth of the Internet of Things (IoT) applications and their interference with our daily life tasks have led to a large number of IoT devices and enormous sizes of IoT-generated data. The resources of IoT devices are limited; therefore, the processing and storing IoT data in these devices are inefficient. Traditional cloud-computing resources are used to partially handle some of the IoT resource-limitation issues; however, using the resources in cloud centers leads to other issues, such as latency in time-critical IoT applications. Therefore, edge-cloud-computing technology has recently evolved. This technology allows for data processing and storage at the edge of the network. This paper studies, in-depth, edge-computing architectures for IoT (ECAs-IoT), and then classifies them according to different factors such as data placement, orchestration services, security, and big data. Besides, the paper studies each architecture in depth and compares them according to various features. Additionally, ECAs-IoT is mapped according to two existing IoT layered models, which helps in identifying the capabilities, features, and gaps of every architecture. Moreover, the paper presents the most important limitations of existing ECAs-IoT and recommends solutions to them. Furthermore, this survey details the IoT applications in the edge-computing domain. Lastly, the paper recommends four different scenarios for using ECAs-IoT by IoT applications.

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