scholarly journals A Secure and Lightweight Authentication Protocol for IoT-Based Smart Homes

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1488
Author(s):  
JiHyeon Oh ◽  
SungJin Yu ◽  
JoonYoung Lee ◽  
SeungHwan Son ◽  
MyeongHyun Kim ◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Smart Home ◽  
Smart Homes ◽  
Authentication Protocol ◽  
Security And Privacy ◽  
Smart Devices ◽  
Smart Device ◽  
Home Environments ◽  
Lightweight Authentication ◽  
Smart Home Environments

With the information and communication technologies (ICT) and Internet of Things (IoT) gradually advancing, smart homes have been able to provide home services to users. The user can enjoy a high level of comfort and improve his quality of life by using home services provided by smart devices. However, the smart home has security and privacy problems, since the user and smart devices communicate through an insecure channel. Therefore, a secure authentication protocol should be established between the user and smart devices. In 2020, Xiang and Zheng presented a situation-aware protocol for device authentication in smart grid-enabled smart home environments. However, we demonstrate that their protocol can suffer from stolen smart device, impersonation, and session key disclosure attacks and fails to provide secure mutual authentication. Therefore, we propose a secure and lightweight authentication protocol for IoT-based smart homes to resolve the security flaws of Xiang and Zheng’s protocol. We proved the security of the proposed protocol by performing informal and formal security analyses, using the real or random (ROR) model, Burrows–Abadi–Needham (BAN) logic, and the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool. Moreover, we provide a comparison of performance and security properties between the proposed protocol and related existing protocols. We demonstrate that the proposed protocol ensures better security and lower computational costs than related protocols, and is suitable for practical IoT-based smart home environments.

scholarly journals Security in Smart Home Environment

2010 ◽  
pp. 170-191 ◽  
Author(s):  
Georgios Mantas ◽  
Dimitrios Lymberopoulos ◽  
Nikos Komninos
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Information Technologies ◽  
Smart Homes ◽  
Home Environments ◽  
Security Issues ◽  
Smart Home Environment ◽  
Household Members ◽  
Networking Technologies ◽  
Smart Home Environments

This chapter presents the concept of Smart Home, describes the Smart Home networking technologies and discusses the main issues for ensuring security in a Smart Home environment. Nowadays, the integration of current communication and information technologies within the dwelling has led to the emergence of Smart Homes. These technologies facilitate the building of Smart Home environments in which devices and systems can communicate with each other and can be controlled automatically in order to interact with the household members and improve the quality of their life. However, the nature of Smart Home environment, the fact that it is always connected to the outside world via Internet and the open security back doors derived from the household members raise many security concerns. Finally, by reviewing the existing literature regarding Smart Homes and security issues that exist in Smart Home environments, the authors envisage to provide a base to broaden the research in Smart Home security.

scholarly journals An Efficient, Anonymous and Robust Authentication Scheme for Smart Home Environments

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1215
Author(s):  
Soumya Banerjee ◽  
Vanga Odelu ◽  
Ashok Kumar Das ◽  
Samiran Chattopadhyay ◽  
Youngho Park
Keyword(s):  
Secure Communication ◽  
Intelligent Systems ◽  
Smart Home ◽  
Authentication Scheme ◽  
Smart Devices ◽  
Sensitive Information ◽  
Home Environments ◽  
Anonymous Authentication ◽  
The Internet Of Things ◽  
Smart Home Environments

In recent years, the Internet of Things (IoT) has exploded in popularity. The smart home, as an important facet of IoT, has gained its focus for smart intelligent systems. As users communicate with smart devices over an insecure communication medium, the sensitive information exchanged among them becomes vulnerable to an adversary. Thus, there is a great thrust in developing an anonymous authentication scheme to provide secure communication for smart home environments. Most recently, an anonymous authentication scheme for smart home environments with provable security has been proposed in the literature. In this paper, we analyze the recent scheme to highlight its several vulnerabilities. We then address the security drawbacks and present a more secure and robust authentication scheme that overcomes the drawbacks found in the analyzed scheme, while incorporating its advantages too. Finally, through a detailed comparative study, we demonstrate that the proposed scheme provides significantly better security and more functionality features with comparable communication and computational overheads with similar schemes.

scholarly journals Latency-Optimal Computational Offloading Strategy for Sensitive Tasks in Smart Homes

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2347
Author(s):  
Yanyan Wang ◽  
Lin Wang ◽  
Ruijuan Zheng ◽  
Xuhui Zhao ◽  
Muhua Liu
Keyword(s):  
Queue Length ◽  
Optimization Problem ◽  
Time Slot ◽  
Smart Homes ◽  
Back Pressure ◽  
Smart Devices ◽  
Smart Device ◽  
Simulation Results ◽  
Computational Offloading ◽  
The Stability

In smart homes, the computational offloading technology of edge cloud computing (ECC) can effectively deal with the large amount of computation generated by smart devices. In this paper, we propose a computational offloading strategy for minimizing delay based on the back-pressure algorithm (BMDCO) to get the offloading decision and the number of tasks that can be offloaded. Specifically, we first construct a system with multiple local smart device task queues and multiple edge processor task queues. Then, we formulate an offloading strategy to minimize the queue length of tasks in each time slot by minimizing the Lyapunov drift optimization problem, so as to realize the stability of queues and improve the offloading performance. In addition, we give a theoretical analysis on the stability of the BMDCO algorithm by deducing the upper bound of all queues in this system. The simulation results show the stability of the proposed algorithm, and demonstrate that the BMDCO algorithm is superior to other alternatives. Compared with other algorithms, this algorithm can effectively reduce the computation delay.

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