A Dynamic and Cross-Domain Authentication Asymmetric Group Key Agreement in Telemedicine Application

Zhang, Qikun; Gan, Yong; Zhang, Quanxin; Wang, Ruifang; Tan, Yuan

doi:10.1109/access.2018.2799007

Cited by 51 publications

(12 citation statements)

References 21 publications

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“…is scheme uses hierarchical ID tree to define the ID values of users, cloud service providers, and other entities to realize the uniqueness of entity identity. Compared with literature [34][35][36][37][38][39], this scheme replaces the real identity with the temporary identity, and the KGC or CA1 signs user U's temporary identity, further enhancing security and meanwhile realizing anonymous tracking. Compared with literature [33][34][35][36], the KGC or CA1 in this scheme signs the temporary identity of user U and encrypts the message by the public key of the CSP, which results in better performance in resisting man-in-the-middle attacks.…”

Section: Anti-man-in-the-middle Attacksmentioning

confidence: 99%

“…Compared with literature [34][35][36][37][38][39], this scheme replaces the real identity with the temporary identity, and the KGC or CA1 signs user U's temporary identity, further enhancing security and meanwhile realizing anonymous tracking. Compared with literature [33][34][35][36], the KGC or CA1 in this scheme signs the temporary identity of user U and encrypts the message by the public key of the CSP, which results in better performance in resisting man-in-the-middle attacks. Compared with literature [34,36], this scheme randomly selects the local timestamp and random parameters for keeping the session fresh to ensure the validity of the message in crossdomain authentication, which realizes the resistance of the replay attack.…”

Section: Anti-man-in-the-middle Attacksmentioning

confidence: 99%

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Heterogeneous Cross-Domain Identity Authentication Scheme Based on Proxy Resignature in Cloud Environment

Liu

Wang

2020

Mathematical Problems in Engineering

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Based on proxy resignature, the signature transformation between trust domains of different cryptographic systems is realized with the help of the cloud authentication center, so as to achieve cross-domain access between users and cloud service providers in heterogeneous environment. Hierarchical ID tree realizes the uniqueness of identity in communication, and the security of heterogeneous cross-domain identity authentication is enhanced by the two-factor authentication of “password + key” and temporary identity replacing real identity. The security of the scheme is proved under the CK model, which can anonymously trace entity identity, resist replay attacks, replacement attacks, and man-in-the-middle attacks, and the simulation experiment is carried out. By searching it in related fields, no paper on heterogeneous cross-domain identity authentication based on proxy resignature has been published yet. The results of this paper show that the proposed scheme has better computing performance and higher security.

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Section: Anti-man-in-the-middle Attacksmentioning

confidence: 99%

Section: Anti-man-in-the-middle Attacksmentioning

confidence: 99%

Heterogeneous Cross-Domain Identity Authentication Scheme Based on Proxy Resignature in Cloud Environment

Liu

Wang

2020

Mathematical Problems in Engineering

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“…However, many attack technologies are emerging, including white box attacks, gray box attacks, black box attacks, and improvements to these attacks [15]- [18]. In addition, there are many models and emerging technologies that apply to network security [19]- [23]. Security situation prediction has become an effective method for protecting network security, and has previously been applied in sensor networks [24]- [30] and other mobile networks [31], [32].…”

Section: Related Workmentioning

confidence: 99%

Network Security Situation Prediction Based on MR-SVM

Zhang

Liu

et al. 2019

IEEE Access

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The support vector machine (SVM) is verified to be effective for predicting cyber security situations, however, the long training time of the prediction model is a drawback to its use. To address this, a cyber security situation prediction model based on MapReduce and the SVM is proposed. The base classifier for this model uses an SVM, and parameter optimization is performed by the Cuckoo Search (CS) to determine the optimal parameters of the SVM. Considering the problem of time cost when a data set is large, we choose to use MapReduce to perform distributed training on SVMs to improve training speed. ''Map'' is used to map distributed training network security situation data, and ''Reduce'' merges and sorts the prediction results. Experimental results show that the proposed prediction model has improved the accuracy and decreased the training time cost compared to the traditional model.

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“…A dynamic and cross-domain authenticated asymmetric group key agreement is proposed in [25]. This protocol adopts cross-domain authentication mechanism to avoid the security risks of key escrow and the complexity of certificate management.…”

Section: A Related Workmentioning

confidence: 99%

Group Key Agreement Protocol Based on Privacy Protection and Attribute Authentication

Zhang

Gan

et al. 2019

IEEE Access

Self Cite

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Group key agreement is a good way to ensure secure communication within a group. However, the identity authentication, privacy protection, and information sharing access control (different access rights may exist for different sensitivity of information) are key issues to be solved in group key agreement. Aiming at these problems, this paper proposes a group key agreement protocol based on privacy protection and attribute authentication (GKA-PPAA). The protocol proposes identity authentication for hidden attributes; it not only preserves the advantages of traditional identity-based key agreement protocol, but also provides hiding the identity information and privacy protection of the individual, and also proposes information sharing access control, which different secret information is shared among a set of members who have different levels of authority. It increases the flexibility of group key management. In addition, the group key factors are also calculated before the group key agreement, which eliminates most of the computation overhead due to the group key agreement. This protocol is proven secure under the discrete logarithm problem (DLP) and decisional bilinear Diffie-Hellman (DBDH) problem assumptions. The performance analysis shows that the proposed scheme is much more efficient than the existing ones. INDEX TERMSGroup key agreement, attribute authentication, information exchange, threshold authority.

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A Dynamic and Cross-Domain Authentication Asymmetric Group Key Agreement in Telemedicine Application

Cited by 51 publications

References 21 publications

Heterogeneous Cross-Domain Identity Authentication Scheme Based on Proxy Resignature in Cloud Environment

Heterogeneous Cross-Domain Identity Authentication Scheme Based on Proxy Resignature in Cloud Environment

Network Security Situation Prediction Based on MR-SVM

Group Key Agreement Protocol Based on Privacy Protection and Attribute Authentication

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