A Robust user authentication protocol with privacy-preserving for roaming service in mobility environments

Shashidhara, R.; Bojjagani, Sriramulu; Maurya, Anup Kumar; Kumari, Saru; Xiong, Hu

doi:10.1007/s12083-020-00929-y

Cited by 26 publications

(13 citation statements)

References 34 publications

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“…Assuming that the output length of the hash function h(.) and random numbers is 160 bits, the length of identifier is 128 bits and the timestamp is 64 bits, as can be seen in Table 8 and Figure 9, Shashidhara et al [1] and AMAPG enforce lower computational costs, respectively. Focusing on the M U communication costs as it is the resource constrain device, it can easily seen in Table 8, M U in Shashidhara et al's protocol and AMAPG in login and authentication phase sends 448 and 512 bits respectively.…”

Section: Security and Performance Comparisonmentioning

confidence: 98%

“…Xu et al also presented a new mutual authentication scheme. Thereafter, Shashidhara et al [1] proved that the Xu et al's protocol does not resist against stolen verifier, denial of service, privileged insider, and impersonation attacks. Besides, they showed that the Xu et al's protocol is unable to provide local password verification and also suffers from clock synchronization problem.…”

Section: Related Workmentioning

confidence: 99%

“…They also as a remedy, proposed a secure scheme for mobility networks. However, in this paper, we The proposed protocol of Shashidhara et al [1] to remedy Xu et al's protocol runs using notations represented in Table 1 as below in three phases including registration phase, login and authentication phase, and arbitrary password change phase.…”

Section: Related Workmentioning

confidence: 99%

“…One recent effort in this regard is Xu et al's protocol. It was not long before that Shashidhara et al [1] showed that Xu et al's protocol is not able to verify the local password and also suffers from the problem of clock synchronization. To address these issues, they developed a secure protocol for mobile networks.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

AMAPG: Advanced Mobile Authentication Protocol for GLOMONET

et al. 2021

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Section: Security and Performance Comparisonmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

AMAPG: Advanced Mobile Authentication Protocol for GLOMONET

et al. 2021

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“…[ 16,18,19,22,55,59,[64][65][66][67]70,71] PFSP Public key technology is a necessary condition to achieve forward security, and the server-end has at least two public key operations.…”

Section: Design Principlesmentioning

confidence: 99%

Revisiting three anonymous two-factor authentication schemes for roaming service in global mobility networks

Qiu¹,

Wang²

2021

JSSS

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DS2AN: Deep stacked sparse autoencoder for secure and fast authentication in HetNets

Hemavathi

Akhila

Zubeda

et al. 2022

Security and Privacy

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With the development of wireless communication technologies, providing seamless communication and secured roaming across devices has gained momentum. With 5G building upon and working together with 4G, it promises up to 100 times faster connectivity than 4G, greater bandwidth and extremely low latency. Though this dramatically enhances user experience, it calls for densification of the network by deploying smaller cells. This solution significantly improves network coverage but results in frequent handoffs. With the adoption of newer network technologies, potential new threats are introduced which becomes quite challenging for the industry. For ensuring seamless mobility, an effective handoff mechanism should ensure a secure and fast authentication process. In this article, Deep Sparse Stacked Autoencoder Network (DS2AN), an unsupervised deep learning model has been used to achieve the said objective. In the proposed method, training is done based on number of hidden layers using back propagation algorithm. Once trained, the cost function is minimized in order to achieve fine tuning of DS2AN.Compared with the existing handoff schemes, DS2AN promises a better level of security and a reduction in time required for handoff. Also, DS2AN is used to identify the presence of malicious entities thereby increasing security in the network. The performance of DS2AN algorithm for authentication delay has been evaluated based on communication and computational cost, and the results shows that DS2AN performs better compared to existing techniques.

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A Robust user authentication protocol with privacy-preserving for roaming service in mobility environments

Cited by 26 publications

References 34 publications

AMAPG: Advanced Mobile Authentication Protocol for GLOMONET

AMAPG: Advanced Mobile Authentication Protocol for GLOMONET

Revisiting three anonymous two-factor authentication schemes for roaming service in global mobility networks

DS2AN: Deep stacked sparse autoencoder for secure and fast authentication in HetNets

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