IBA: A secure and efficient device-to-device interaction-based authentication scheme for Internet of Things

Yang, Shuo; Zheng, Xinran; Liu, Guining; Wang, Xingjun

doi:10.1016/j.comcom.2023.01.013

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…The described scheme employs a public-private key pair for authentication in IoT devices. Yang et al [34] introduced as an interaction-based authentication (IBA) scheme, it addresses security and efficiency challenges in IoT networks. IBA utilizes device characteristics from previous interactions to securely authenticate through element matching, eliminating the need for a constant connection to trusted third parties.…”

Section: Public Key Infrastructurementioning

confidence: 99%

Authentication schemes in wireless internet of things sensor networks: a survey and comparison

Phalaagae,

Zungeru,

Sigweni

et al. 2024

IJEECS

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The proliferation of wireless sensor networks (WSNs) fuels internet of things (IoT's) rapid global development, connecting diverse devices. IoT transforms devices into intelligent entities delivering exceptional services. This work addresses IoT authentication gaps through a comprehensive survey, analyzing recent works and exploring techniques in various applications. It includes a comparative analysis of authentication schemes, evaluating Bi-Phase authentication scheme (BAS) in WSNs. BAS outperforms sensor protocol for information via negotiation (SPIN), broadcast session key protocol (BROSK), and localized encryption and authentication protocol (LEAP), resulting in lower energy consumption and higher efficiency. With energy efficiency at 60 Kb/J for 25 nodes, BAS focuses on power optimization and lightweight security measures, reducing energy consumption, maximizing efficiency, and extending WSN lifespan. The evaluation, conducted using MATLAB/Simulink, demonstrates BAS's superiority, achieving 10 J, 12 J, 14 J, and 15 J energy consumption for 25 nodes during simulation, showcasing its effectiveness and future potential in advancing IoT authentication.

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Section: Public Key Infrastructurementioning

confidence: 99%

Authentication schemes in wireless internet of things sensor networks: a survey and comparison

Phalaagae,

Zungeru,

Sigweni

et al. 2024

IJEECS

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“…Or else, it proves that U i is a legitimate user who has registered with GWN. Then, GWN selects three random numbers N 2 Î Z q * , x Î Z q * , x 2 Î Z q * and calculates the temporary credentials TC j of S j and three values F 4 , F 5 , F 6 according to equation (12).…”

Section: Login and Key Agreement Phasementioning

confidence: 99%

“…Meanwhile, after GWN authenticates S j in the login and key agreement phase, it updates PID i by equation ( 21) and transmits it to U i , which means that U i 􀆳 s pseudo-identity is dynamic. Usually, an attacker intercepts messages from different sessions and tries to find the relationship between them to determine whether they belong to the same device [12] . In the proposed scheme, GWN does not transmit PID i new directly through a public channel after it updates PID i , but protects PID i new by equation ( 22) before transmitting F 11 .…”

Section: User Untraceabilitymentioning

confidence: 99%

Analysis and Improvement on an Authentication Scheme for Wireless Sensor Networks in Internet of Things Environment

LI,

KANG,

ZUO

et al. 2023

Wuhan Univ. J. Nat. Sci.

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Nowadays, Internet of Everything has become a major trend, and Internet of Things (IoT) has emerged. Wireless sensor networks (WSNs) are core technologies for IoT to sense the real world. Due to the unattended and resource-constrained characteristics of WSNs, it is a great challenge to design an efficient and secure authentication scheme for communication between users and sensor nodes in WSNs. Recently, Hu et al proposed an authentication scheme for WSNs in an IoT environment. They claimed that their scheme could maximize the balance between security and computational cost as well as efficiency, and be resistant to many known attacks. However, we find that the scheme is difficult to resist stolen smart card attack and denial-of-service attack. Moreover, during the login and key negotiation phase of the scheme, Gateway (GWN) is unable to extract key values for subsequent computation based on the messages sent by the sensor nodes, which in turn leads to the inability to achieve mutual authentication and key agreement. To overcome these shortcomings, we propose an improved scheme. The proposed scheme enables real-time data exchange and transmission as well as secure communication between users and sensor nodes.

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“…In recent years, the rapid advancement of information technology has seen a surge in IoT device deployment across various industries, fostering innovative applications like smart healthcare [1], smart homes [2], and smart industries [3]. The ongoing push for national smart city initiatives has further fueled this proliferation, resulting in a vast influx of private data generated by IoT devices [4][5][6]. According to forecasts by the International Data Corporation (IDC), 2025 is projected to witness a staggering 41.6 billion IoT devices generating an estimated 79.4 ZB of data [7].…”

Section: Introductionmentioning

confidence: 99%

Blockchain-based decentralized storage scheme with verifiable fair payment for smart cities

Zhou,

Zhang

2024

Preprint

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In smart cities, Internet of Things (IoT) technology can enable intelligence in various fields such as urban transportation, energy, environment, and security. While a large number of terminals collect data to bring efficiency and convenience, the problem of data security is becoming increasingly severe. Although existing centralized cloud services can provide powerful computing and storage resources, they also present risks such as data congestion, single points of failure, and privacy leakage. In order to address the above challenges, this paper proposes a blockchain-based decentralized storage management scheme for IoT data in smart cities scenario to improve data storage security. The scheme uses a non-interactive verification mechanism, combined with smart contracts, to realize automatic data verification. Set rewards and penalties to ensure fairness in IoT data storage transactions. The security analysis shows that the data verification mechanism proposed in this paper can effectively mitigate multiple attacks. We deploy smart contracts on the Ethereum platform and conduct experimental evaluations, then write smart contracts on the chain and test the Gas consumption of the contracts. We also evaluate the time efficiency of the algorithms off the chain, and the experimental results prove the practicality of the proposed scheme.

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IBA: A secure and efficient device-to-device interaction-based authentication scheme for Internet of Things

Cited by 8 publications

References 31 publications

Authentication schemes in wireless internet of things sensor networks: a survey and comparison

Authentication schemes in wireless internet of things sensor networks: a survey and comparison

Analysis and Improvement on an Authentication Scheme for Wireless Sensor Networks in Internet of Things Environment

Blockchain-based decentralized storage scheme with verifiable fair payment for smart cities

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