A Privacy Preserving Communication Protocol for IoT Applications in Smart Homes

Song, Tianyi; Li, Ruinian; Mei, Bo; Yu, Jiguo; Xing, Xiaoshuang; Cheng, Xiuzhen

doi:10.1109/jiot.2017.2707489

Cited by 259 publications

(93 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although this protocol is advantageous in comparison to [46,48], it is computationally intensive. Hash function-based and chaos-based privacy-preserving schemes for IoT in a smart home system have been proposed in [49]. The authors used symmetric cryptosystem (e.g., Message Authentication Code or MAC) for both schemes.…”

Section: Prior Workmentioning

confidence: 99%

A Robust, Low-Cost and Secure Authentication Scheme for IoT Applications

Mahmod

Guin

2020

Cryptography

View full text Add to dashboard Cite

The edge devices connected to the Internet of Things (IoT) infrastructures are increasingly susceptible to piracy. These pirated edge devices pose a serious threat to security, as an adversary can get access to the private network through these non-authentic devices. It is necessary to authenticate an edge device over an unsecured channel to safeguard the network from being infiltrated through these fake devices. The implementation of security features demands extensive computational power and a large hardware/software overhead, both of which are difficult to satisfy because of inherent resource limitation in the IoT edge devices. This paper presents a low-cost authentication protocol for IoT edge devices that exploits power-up states of built-in SRAM for device fingerprint generations. Unclonable ID generated from the on-chip SRAM could be unreliable, and to circumvent this issue, we propose a novel ID matching scheme that alleviates the need for enhancing the reliability of the IDs generated from on-chip SRAMs. Security and different attack analysis show that the probability of impersonating an edge device by an adversary is insignificant. The protocol is implemented using a commercial microcontroller, which requires a small code overhead. However, no modification of device hardware is necessary.

show abstract

Section: Prior Workmentioning

confidence: 99%

A Robust, Low-Cost and Secure Authentication Scheme for IoT Applications

Mahmod

Guin

2020

Cryptography

View full text Add to dashboard Cite

show abstract

“…Ying-Tsung Lee, Wei-Hsuan Hsiao, Yan-Shao Lin & Seng-Cho T. Chou (2017) proposes a privacy-preserving data analytics in cloud-based smart home with community hierarchy [1]. A smart community public housing projects consists of tens of thousands of households.…”

Section: Literature Surveymentioning

confidence: 99%

A Survey on Privacy Preserving Communication Protocol with CoAP in Smart Homes

Mani¹

2018

IJRASET

View full text Add to dashboard Cite

Internet of things had made extraordinary progress in both academic and in industrial fields. The privacy preserving communication protocol in smart homes is used for providing the security in data transmission in the smart home. To improve the energy-efficient, secure, and privacy-preserving communication protocol for the smart home systems. It mainly consists of moniter group, appliance group, central controller and user interface. Data transmissions within the smart home system are secured by a symmetric encryption scheme with secret keys being generated by chaotic systems and a Message Authentication Codes (MAC) is used to guarantee data integrity and authenticity in the system. It uses a face recognition mechanism so that only the home members can automate the system and focused on CoAP (Constrained Application Protocol) based framework to give service level access control on resource constrained devices. It gives fine grain access control on a per service basis.

show abstract

“…The goal of the development of Internet of Things (IoT) is to connect electronic devices, mobile terminals, household appliances, and so on [4][5][6]. These devices are not only large in number but also widespread in geographical distribution.…”

Section: Introductionmentioning

confidence: 99%

Resource Scheduling Based on Improved Spectral Clustering Algorithm in Edge Computing

et al. 2018

Scientific Programming

View full text Add to dashboard Cite

With the development of Internet of Things (IoT), the massive data generated by it forms big data, and the complexity of dealing with big data brings challenges to resource scheduling in edge computing. In order to solve the problem of resource scheduling and improve the satisfaction of users in edge computing environment, we propose a user-oriented improved spectral clustering scheduling algorithm (ISCM) in this paper. Based on the improved k-means algorithm, the ISCM algorithm solves the problem that the clustering result is sensitive to the initial value and realizes the reclustering, which makes the obtained clustering results more stable. Finally, the edge computing resource scheduling scheme is obtained based on the clustering results. The experimental results show that the resource scheduling scheme based on improved spectral clustering algorithm is superior to traditional spectral clustering algorithm in edge computing environment.

show abstract

A Privacy Preserving Communication Protocol for IoT Applications in Smart Homes

Cited by 259 publications

References 39 publications

A Robust, Low-Cost and Secure Authentication Scheme for IoT Applications

A Robust, Low-Cost and Secure Authentication Scheme for IoT Applications

A Survey on Privacy Preserving Communication Protocol with CoAP in Smart Homes

Resource Scheduling Based on Improved Spectral Clustering Algorithm in Edge Computing

Contact Info

Product

Resources

About