A secure authentication scheme for IoT application in smart home

Kumar, Pankaj; Chouhan, Lokesh

doi:10.1007/s12083-020-00973-8

Cited by 40 publications

(24 citation statements)

References 61 publications

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“…Research on this subject has two main subtopics. e first subtopic is related to security against cyberattacks in the home network [112,[254][255][256][257][258][259], and the second one is related to home automation providing safety against external physical intrusion [260][261][262][263][264][265][266].…”

Section: Identification Of Topics In Iot Securitymentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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The smart mobile Internet-of-things (IoT) network lays the foundation of the fourth industrial revolution, the era of hyperconnectivity, hyperintelligence, and hyperconvergence. As this revolution gains momentum, the security of smart mobile IoT networks becomes an essential research topic. This study aimed to provide comprehensive insights on IoT security. To this end, we conducted a systematic mapping study of the literature to identify evolving trends in IoT security and determine research subjects. We reviewed the literature from January 2009 to August 2020 to identify influential researchers and trends of keywords. We additionally performed structural topic modeling to identify current research topics and the most promising ones via topic trend estimation. We synthesized and interpreted the results of the systematic mapping study to devise future research directions. The results obtained from this study are useful to understand current trends in IoT security and provide insights into research and development of IoT security.

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Section: Identification Of Topics In Iot Securitymentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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“…This section presents a detailed explanation of the existing studies in smart home security based on IoT [25][26][27][28][29][30][31], blockchain, and machine learning [10,[32][33][34][35][36][37][38][39][40]. Due to the flexibility of the blockchain framework, a smart home ecosystem can shape easily.…”

Section: Related Workmentioning

confidence: 99%

Smart Home Gateway Based on Integration of Deep Reinforcement Learning and Blockchain Framework

2021

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The development of information and communication technology in terms of sensor technologies cause the Internet of Things (IoT) step toward smart homes for prevalent sensing and management of resources. The gateway connections contain various IoT devices in smart homes representing the security based on the centralized structure. To address the security purposes in this system, the blockchain framework is considered a smart home gateway to overcome the possible attacks and apply Deep Reinforcement Learning (DRL). The proposed blockchain-based smart home approach carefully evaluated the reliability and security in terms of accessibility, privacy, and integrity. To overcome traditional centralized architecture, blockchain is employed in the data store and exchange blocks. The data integrity inside and outside of the smart home cause the ability of network members to authenticate. The presented network implemented in the Ethereum blockchain, and the measurements are in terms of security, response time, and accuracy. The experimental results show that the proposed solution contains a better outperform than recent existing works. DRL is a learning-based algorithm which has the most effective aspects of the proposed approach to improve the performance of system based on the right values and combining with blockchain in terms of security of smart home based on the smart devices to overcome sharing and hacking the privacy. We have compared our proposed system with the other state-of-the-art and test this system in two types of datasets as NSL-KDD and KDD-CUP-99. DRL with an accuracy of 96.9% performs higher and has a stronger output compared with Artificial Neural Networks with an accuracy of 80.05% in the second stage, which contains 16% differences in terms of improving the accuracy of smart homes.

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“…In [19] protected from identity plagiarism and exposure of key. In [21] using strong way with hidden session key to block unauthorized access to the network. In [22]solve security issues such as session key leakage, impersonation and replay attacks.…”

Section: Existing Authentication Mechanismsmentioning

confidence: 99%

Enhancing Security in Internet of Things Environment by Developing an Authentication Mechanism using COAP Protocol

ALhusayni¹,

Alosaimi²

2021

Computer Science &Amp; Information Technology (CS &Amp; IT)

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Internet of Things (IoT) has a huge attention recently due to its new emergence, benefits, and contribution to improving the quality of human lives. Securing IoT poses an open area of research, as it is the base of allowing people to use the technology and embrace this development in their daily activities. Authentication is one of the influencing security element of Information Assurance (IA), which includes confidentiality, integrity, and availability, non repudiation, and authentication. Therefore, there is a need to enhance security in the current authentication mechanisms. In this report, some of the authentication mechanisms proposed in recent years have been presented and reviewed. Specifically, the study focuses on enhancement of security in CoAP protocol due to its relevance to the characteristics of IoT devices and its need to enhance its security by using the symmetric key with biometric features in the authentication. This study will help in providing secure authentication technology for IoT data, device, and users.

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A secure authentication scheme for IoT application in smart home

Cited by 40 publications

References 61 publications

Current Research Trends in IoT Security: A Systematic Mapping Study

Current Research Trends in IoT Security: A Systematic Mapping Study

Smart Home Gateway Based on Integration of Deep Reinforcement Learning and Blockchain Framework

Enhancing Security in Internet of Things Environment by Developing an Authentication Mechanism using COAP Protocol

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