Smart Human Security Framework Using Internet of Things, Cloud and Fog Computing

Sehgal, Vivek Kumar; Patrick, Anubhav; Soni, Ashutosh; Rajput, Lucky

doi:10.1007/978-3-319-11227-5_22

Cited by 43 publications

(24 citation statements)

References 15 publications

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“…In our cases, the service providers are responsible for taking further actions, regardless of whether they receive the instructions from the cloud, from the local neighborhood sink, or whether they make the decisions by their own. We found similar communication flow only in [39].…”

Section: Iot Framework For Hcssupporting

confidence: 58%

Internet of Things Framework for Home Care Systems

Stojkoska

Trivodaliev

Davčev

2017

Wireless Communications and Mobile Computing

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The increasing average age of the population in most industrialized countries imposes a necessity for developing advanced and practical services using state-of-the-art technologies, dedicated to personal living spaces. In this paper, we introduce a hierarchical distributed approach for home care systems based on a new paradigm known as Internet of Things (IoT). The proposed generic framework is supported by a three-level data management model composed of dew computing, fog computing, and cloud computing for efficient data flow in IoT based home care systems. We examine the proposed model through a real case scenario of an early fire detection system using a distributed fuzzy logic approach. The obtained results prove that such implementation of dew and fog computing provides high accuracy in fire detection IoT systems, while achieving minimum data latency.

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Section: Iot Framework For Hcssupporting

confidence: 58%

Internet of Things Framework for Home Care Systems

Stojkoska

Trivodaliev

Davčev

2017

Wireless Communications and Mobile Computing

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“…Herein, we mainly concentrate on the second situation. To achieve sound interactions among different layers (i.e., user device layer, edge node layer and cloud server layer), hybrid communication technologies are applied in edge computing, including wired communications (such as Ethernet, and optical fiber) and wireless communications (such as ZigBee, WiFi, and LTE) [26]. The communication between cloud server and edge nodes and the communication among edge nodes are usually supported by wired communication technologies, while edge nodes and IoT devices communicate with each other with wireless communication technologies.…”

Section: B Edge Computing Architecturementioning

confidence: 99%

A Survey on Secure Data Analytics in Edge Computing

Liú

Yan

Ding

et al. 2019

IEEE Internet Things J.

148

103

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Internet of Things (IoT) is gaining increasing popularity. Overwhelming volumes of data are generated by IoT devices. Those data after analytics provide significant information that could greatly benefit IoT applications. Different from traditional applications, IoT applications such as environmental monitoring, smart navigation and smart healthcare come with new requirements such as mobility, real-time response, and location awareness. However, traditional cloud computing paradigm cannot satisfy these demands due to centralized processing and being far away from local devices. Hence, edge computing was introduced to perform data processing and storage in the edge of networks, which is closer to data sources than cloud computing, thus efficient and location-aware. Unfortunately, edge computing brings new security and privacy challenges when applied to data analytics. The literature still lacks a thorough review on the recent advances in secure data analytics in edge computing. In this paper, we first introduce the concept and features of edge computing, and then propose a number of requirements for its secure data analytics by analyzing potential security threats in edge computing. Furthermore, we give a comprehensive review on the pros and cons of the existing works on data analytics in edge computing based on our proposed requirements. Based on our literature survey, we highlight current open issues and propose future research directions.

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“…Sehgal et al have worked on the security framework for the domain of fog computing and devised security mechanisms to tackle security challenges in the fields of IoT, cloud and fog computing. A research work also worked extensively on the comparisons of fog computing and cloud computing and their security and forensics gap.…”

Section: Literature Surveymentioning

confidence: 99%

“…These makes all the information on the fog servers localized and decentralized for every mall in a particular city. Collectively, all the information of the fog servers will be stored on a centralized cloud data center …”

Section: Applications Of Fog Computingmentioning

confidence: 99%

An overview of cloud‐fog computing: Architectures, applications with security challenges

Kunal

Saha

Amin

2019

Security and Privacy

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With the growing needs of data across the world, it almost hard to live without data a day. This is almost a blessing in disguise for the researchers working on different domains and dealing with huge amounts of data. The fog computing concept is aiming to change the scenarios created by cloud computing environments and also to make the data-centric clouds decentralized and localized. Fog devices contain only specific information that is frequently used in it and generally the size of the data in fog device is very less in comparison with cloud server. Fog stores only those data, which are frequently used by the users, rest it takes from the cloud itself. The motivation toward this field to make the data flow in various domain seamless and hassle free. Fog computing can be thought as an intermediate between the users and the cloud server, which connects end users easily and thus reduces the latency of the services. This paper discusses the three layered data flow architecture for fog computing and it proposes several novel architectures such as energy lattices, MediFog, UXFog, connected parking system, and FoAgro to utilize the concept of fog computing. K E Y W O R D Scloud computing, fog computing, security challenges

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Smart Human Security Framework Using Internet of Things, Cloud and Fog Computing

Cited by 43 publications

References 15 publications

Internet of Things Framework for Home Care Systems

Internet of Things Framework for Home Care Systems

A Survey on Secure Data Analytics in Edge Computing

An overview of cloud‐fog computing: Architectures, applications with security challenges

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