GKEAE: Group Key Exchange and Authentication with ECC in Internet of Things

Padmashree, M G; Mallikarjun, .; Arunalatha, J S; Venugopal, K. R.

doi:10.1007/978-981-19-0901-6_1

Cited by 5 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several techniques in place cannot be implemented on this layer, therefore, there is need for improvement. It has also been discovered that the ECC technique can be used to secure other layers of the IOT as well [42].…”

Section: Research Gapmentioning

confidence: 99%

Securing the Perceptual Layer of the Internet of Things (Iot) Devices Using Elliptic Curve Cryptography

Okediran

Vincent

Abayomi‐Alli

et al. 2023

Preprint

View full text Add to dashboard Cite

The security of IOT layers has become very important considering the various attacks faced by IOT devices especially, the perceptual layer. Reported attacks in recent times include direct Denial of Service (DDoS), Botnet attack and Falsification attacks. Several security techniques in place can not be directly implemented on IOT devices; hence, there is a need to improve the research.This work has proposed an ECC based on binary field solution, there were three stages of implementation which includes device registration where each devices are recognised and locked against all forms of communication, device authentication for key agreement and unlocking, communication phase for exchange of information. It was implemented on a contactless ATM card and a mobile phone as an IOT devices used for electronic payment. The evaluation result for storage capacity showed that the mobile phone and the ATM card has the capacity to run ECC security protocol directly, the Jitter result obtained reveals that the Jitter value did not deviate from normal for both devices while, the computational time showed that it is computationally efficient to use ECC over binary field for the security of the perceptual layer.

show abstract

Section: Research Gapmentioning

confidence: 99%

Securing the Perceptual Layer of the Internet of Things (Iot) Devices Using Elliptic Curve Cryptography

Okediran

Vincent

Abayomi‐Alli

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, there is a need for improvement. It has also been discovered that the ECC technique can secure other layers of the IoT [38]. Several researchers have proposed a novel technique to secure IoT devices and networks from different points of view.…”

Section: Related Workmentioning

confidence: 99%

Securing the Perceptual Layer of E-Payment-Based Internet of Things Devices Using Elliptic Curve Cryptography

Okediran

Vincent

Abayomi‐Alli

et al. 2023

Preprint

View full text Add to dashboard Cite

The security of IoT layers has become paramount considering the various attacks facing IoT devices, especially the perceptual layer. Reported attacks in recent times include direct Denial of Service (DDoS), botnet attacks, and falsification attacks. Some security schemes, such as the symmetric polynomial concept, privacy-preserving communication protocols for IoT applications, blockchain-based secure IoT systems, and mutual authentication systems for wearable technology, cannot be directly implemented on the perceptual layer of the IoT device. This study presents a binary field elliptic curve cryptography algorithm for the security of the perceptual layer of IoT, such as mobile phones, contactless cards, and POS devices in electronic payment transactions. The IoT devices have four layers: the application, support, network, and perceptual or sensor layer. The sensors of the devices were locked against any communication between the nodes. Each device is recognised and locked against all forms of communication. Device authentication for key agreement and unlocking, communication phase for exchange of information. The evaluation of this study is based on storage capacity, computational time, and jitter. It was implemented on a contactless ATM card, POS device, and a mobile phone as an IoT device for electronic payment. The evaluation result for storage capacity showed that the mobile phone and the ATM card could run the ECC security protocol directly. The Jitter result reveals that the Jitter value did not deviate from normal for both devices. At the same time, the computational time showed that it is computationally efficient to use ECC over the binary field for the security of the perceptual layer. This scheme is efficient for the security of IoT.

show abstract

“…Integrating access authentication and data transfer improves the serviceability of IoT devices. The GKEAE delivers a faster group key distribution computation time than the quick authentication system (Padmashree et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Group-Based Authentication Methods in The OneM2M Ecosystem

ABA>

Taskin²

2022

Journal of Advanced Research in Natural and Applied Sciences

View full text Add to dashboard Cite

The essential element of the Internet of Things (IoT) environment, the number of devices has traditionally ex-ceeded the number of devices connected to the Internet. This situation is considered positive for the IoT concept but still has negative consequences. Undoubtedly, the most prominent and most important among these results is the security of the devices and the constructed IoT environment. Group-based authentication and authorization methods are crucial to ensure the safety of many IoT devices and the environment. In this study, the “auth” mechanism that performs group-based authentication and authorization processes, serving from the first moment when the devices in the IoT environment are included in the system until they leave the system, has been devel-oped. In the development process of the “auth” mechanism, the Mobius IoT platform, which is evaluated as a golden sample by the oneM2M global organization and developed as an open-source code, is taken as the basis. The “auth” mechanism tested in three different test environments, including simulation, physical, and cloud environments, were tested using five different test scenarios. By using the group management module provided by the IoT service platform and the “auth” mechanism's together, it has been observed that the computational overhead on the devices and the signal traffic in the environment provide up to 4 times efficiency according to performance measurements. With the development of the “auth” mechanism with a flexible structure, it can be operated independently from the IoT server platform, allowing interoperability between oneM2M-based IoT server platforms.

show abstract

GKEAE: Group Key Exchange and Authentication with ECC in Internet of Things

Cited by 5 publications

References 20 publications

Securing the Perceptual Layer of the Internet of Things (Iot) Devices Using Elliptic Curve Cryptography

Securing the Perceptual Layer of the Internet of Things (Iot) Devices Using Elliptic Curve Cryptography

Securing the Perceptual Layer of E-Payment-Based Internet of Things Devices Using Elliptic Curve Cryptography

Group-Based Authentication Methods in The OneM2M Ecosystem

Contact Info

Product

Resources

About