A Novel Secure Architecture for the Internet of Things

Chen, Dong; Chang, Guiran; Jin, Lizhong; Ren, Xiaodong; Li, Jiajia; Li, Fengyun

doi:10.1109/icgec.2011.77

Cited by 50 publications

(24 citation statements)

References 6 publications

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“…Aim is to have all items connected with the Internet for convenient identification and management [1].It is logically divided into perception layer, transport layer and application layer [2]. The perception layer senses, gathers information, and submits the collected information to the higher application layer for intelligent processing via Internet or other transmitted networks.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Authentication and Access Control Scheme for Perception Layer of Internet of Things

Ye¹,

Zhu²,

Wang³

et al. 2014

Appl. Math. Inf. Sci.

203

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Abstract:In this paper, we proposed an efficient authentication and access control method based on general view of the security issues for perception layer of Internet of Things (IoT). The advantage of the proposed method is establishing session key based on Elliptic Curve Cryptography (ECC). This enhances mutual authentication between the user and sensor nodes, and intermediate processes. On the other hand, this method solves the resource-constrained problem in perception layer of the Internet of Things.

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Section: Introductionmentioning

confidence: 99%

An Efficient Authentication and Access Control Scheme for Perception Layer of Internet of Things

Ye¹,

Zhu²,

Wang³

et al. 2014

Appl. Math. Inf. Sci.

203

View full text Add to dashboard Cite

show abstract

“…These capabilities permit IoT devices to interact in an intelligent way in certain situations. Although the popularity of smart technologies, intelligence in the IoT is only means of interaction between devices, while user and device interactions are achieved by usual input methods and graphical user interfaces [21].…”

Section: Essential Characteristics Of Iotmentioning

confidence: 99%

“…• Massive amount of data: There are billions of IoT devices which create a large amount of data which raises many issues including those related to security and privacy [21].…”

Section: Essential Characteristics Of Iotmentioning

confidence: 99%

Intelligence of Things: Opportunities & Challenges

Atlam

Walters

Wills

2018

2018 3rd Cloudification of the Internet of Things (CIoT)

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The Internet of Things (IoT) is a promising technology that can connect and communicate virtual and physical objects globally. It allows billions of devices to be connected and communicate with each other to share information that creates new application and services. These services result in improving our quality of life. On the other hand, Artificial Intelligence (AI) is applied in many fields of science. It aims to understand techniques that require an intelligent action and solve complex problems. Integrating IoT with AI will create a powerful technology that can solve many of IoT problems that relate to the huge amount of data created by different IoT devices. With the huge analytic capabilities of AI, IoT data can be analysed efficiently to extract meaningful information. In addition, AI can help IoT devices to interact with humans and other objects intelligently and make autonomous decisions. This paper provides an overview of the integration of the IoT with AI by highlighting the integration benefits and opportunities of AI in different IoT applications. Challenges standing in the way of successful convergence of IoT with AI are also discussed. We can conclude that the integration of AI with IoT will generate a robust technology that can help companies to avoid unplanned downtime, increase operating efficiency, and enable new IoT applications and services.

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“…Therefore, the IoT meets the requirements of MCS. () There are several challenges in making crowdsensing suitable for the IoT, such as (1) automated configuration of various devices, (2) resource limitations, and (3) security and privacy of data. Embedding security of such crowdsensed data in the IoT becomes more the challenging aspect because of its complex and heterogeneous environment.…”

Section: Introductionmentioning

confidence: 99%

A secure lightweight signature based authentication for Cloud‐IoT crowdsensing environments

Kumar

Verma

Sikka

2018

Trans Emerging Tel Tech

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Crowdsensing utilizes the wisdom of crowd by sensing the information through different types of smart devices such as a smartphone, tablet, and sensors to serve the problem of common interests. It can be achieved by the concept of Internet of Things (IoT), which considers a large set of smart sensing interconnected devices. However, these devices are resource constrained in terms of storage, infrastructure, and computation power, and therefore, cloud technology is required. In order to minimize the storage overhead, only authentic extracted information from crowdsourcing is desirable to store in the cloud space. A number of signature‐based authentication schemes have been designed using either bilinear pairing or random oracle model (ROM) for the IoT devices. However, due to the high computational pairing cost and improper ROM implementation, schemes are found to be inefficient and vulnerable under the chosen‐message and chosen‐ID attack. To reduce the computational cost, we propose a pairing‐free quadratic residue–based signature scheme that authenticates IoT devices and cloud centric data. In addition, the proposed signature does not consider ROM, and it is secure in the standard model based on the proposed modified interactive quadratic residuosity assumption. Performance evaluation and comparisons ensure that our scheme is more efficient than earlier related schemes.

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A Novel Secure Architecture for the Internet of Things

Cited by 50 publications

References 6 publications

An Efficient Authentication and Access Control Scheme for Perception Layer of Internet of Things

An Efficient Authentication and Access Control Scheme for Perception Layer of Internet of Things

Intelligence of Things: Opportunities & Challenges

A secure lightweight signature based authentication for Cloud‐IoT crowdsensing environments

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