Lightweight Authentication Methods in IoT: Survey

Ahmed, Waleed Kareem; Mohammed, Rana Saad

doi:10.1109/csase51777.2022.9759798

Cited by 4 publications

(6 citation statements)

References 30 publications

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“…The server and tag runtime times are both 0.00002949s and 0.0006569s. Table 2 shows the median GF(2m) runtime in micro secs as measured by LiDIA [6]. If "T" denotes the computed multiplication for the runtime using tags, therefore "T/5," shown in Table 3, represents a predicted running time for squares operations, i.e., 10.5 and 2.3, which is about multiplying by one-fifth.…”

Section: Computational Costmentioning

confidence: 99%

“…The internet of things (IoT) is a cutting-edge wireless technology model that connects various physical devices to the internet, allowing data to be collected and distributed without human interaction. In addition, to identifying these linked devices, identification approaches like RFID, QR codes, and other sensor technology can be utilized [5,6]. IoT applications include industrial control, intelligent supply chains, intelligent retail, intelligent buildings, intelligent grids, intelligent cities, medical information networks, and telehealth [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…To encrypt and decode messages using asymmetric cryptographic encryption, 20 distinct public and private keys, are required. In contrast, symmetric encryption methods use the same cryptographic key to encrypt and decrypt ciphertext and plaintext [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…To summarize, privacy and security were the most pressing concerns concerning IoT development. [6] discusses how blockchain-based decentralized structures might aid in the solution of the IoT application security dilemma. Blockchain technology is advantageous in centralized businesses for overcoming challenges such as low reliability, high costs, low security, and lousy efficiency [8].…”

Section: Introductionmentioning

confidence: 99%

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Lightweight Authentication Enhancement Using Arnold Chaotic Map and Markov-Chain for Internet of Things Applications

2023

IJIES

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The Internet of Things (IoT) was a new concept that connected various physical things to the internet. The IoT is fast expanding and will soon significantly impact everyday life. Although the increasing number of connected IoT devices is simplifying life, they risk our data. Radiofrequency identification (RFID) assists in the automated identification of connected IoT devices. Furthermore, the primary challenges for RFID tag-connected technology are privacy and security. With the improving safety of solutions RFID for many apps, RFID necessitates a centralized database widening. Blockchain techniques are speedily establishing themselves together as a new distributed and decentralized replacement. And it provides enhanced transparency, data security, immutability, dependability, and lower maintenance costs. Because of its inherent benefits, RFID is projected to play a significant part in enabling identifying technology on the IoT. However, due to its association with sensor technology, it has the potential to be applied in a wide range of industries. Security, however, is one of the more complex components of creating an RFID system. RFID Security focuses around authentication and privacy concerns. From the previous works, we found that the computing cost and uptime are higher. To solve these problems, we offer improving lightweight authentication using Arnold Chaotic map and Markov chain for IoT applications. The proposed method uses random algorithms (Markova chain, Arnold map chaotic, and ECC), which add high security. We also used blockchain technology to transfer keys through a non-security channel. Based on parameters such as (communication cost, throughput rate, storage requirements, transmission delay, and computational cost) the results of the proposed RFID protocol were compared with several RFID-based security solutions. As a result, the proposed lightweight scheme is more efficient and secure than existing RFID systems in terms of performance, according to simulation results, and is fully compatible with actual applications.

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Section: Computational Costmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lightweight Authentication Enhancement Using Arnold Chaotic Map and Markov-Chain for Internet of Things Applications

2023

IJIES

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“…They also provided a new classification of authentication approaches in WMSNs as a function of its architecture. Ahmed et Mohammed [27] also synthesized identity control, lightweight authentication, and authorization research in IoT networks. As a result, they emphasized topical IoT security tendencies and their achievement.…”

Section: Introductionmentioning

confidence: 99%

An Exhaustive Survey on Authentication Classes in the IoT Environments

Dargaoui,

Azrour,

El Allaoui

et al. 2024

IJEEI

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In today's world, devices are interconnected across various fields, ranging from intelligent buildings and smart cities to Industry 4.0 and smart healthcare. IoT security is still the biggest obstacle to deployment despite the exponential growth of IoT usage in our world. The principal objective of IoT security is to warrant the accessibility of services offered by an IoT environment, protect privacy, and confidentiality, and ensure the safety of IoT users, infrastructures, data, and devices. Authentication has become a top priority for everyone because it is the first line of defense against security threats and can allow or prevent users from accessing resources according to their legitimacy. Consequently, studying and researching authentication issues within IoT is extremely important. Our paper provides a comparative study of current IoT security research; it analyzes recent authentication protocols from 2018 to 2024. This survey's goal is to provide an IoT security research summary, the biggest susceptibilities, and attacks, the appropriate technologies, and the most used simulators.

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