Multiparty authentication services and key agreement protocols with semi-trusted third party

2002 ◽  
Vol 17 (6) ◽  
pp. 749-756 ◽  
Author(s):  
Dong Zheng ◽  
Kefei Chen ◽  
Jinyuan You
Keyword(s):  
Key Agreement ◽  
Third Party ◽  
Trusted Third Party ◽  
Agreement Protocols

scholarly journals Secure multiparty quantum key agreement against collusive attacks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hussein Abulkasim ◽  
Atefeh Mashatan ◽  
Shohini Ghose
Keyword(s):  
Key Agreement ◽  
Sensitive Information ◽  
Quantum Key Agreement ◽  
Key Agreement Protocol ◽  
Proposed Model ◽  
Shared Key ◽  
Agreement Protocols ◽  
Collusive Attacks ◽  
Attack Strategy ◽  
Collusive Attack

AbstractQuantum key agreement enables remote participants to fairly establish a secure shared key based on their private inputs. In the circular-type multiparty quantum key agreement mode, two or more malicious participants can collude together to steal private inputs of honest participants or to generate the final key alone. In this work, we focus on a powerful collusive attack strategy in which two or more malicious participants in particular positions, can learn sensitive information or generate the final key alone without revealing their malicious behaviour. Many of the current circular-type multiparty quantum key agreement protocols are not secure against this collusive attack strategy. As an example, we analyze the security of a recently proposed multiparty key agreement protocol to show the vulnerability of existing circular-type multiparty quantum key agreement protocols against this collusive attack. Moreover, we design a general secure multiparty key agreement model that would remove this vulnerability from such circular-type key agreement protocols and describe the necessary steps to implement this model. The proposed model is general and does not depend on the specific physical implementation of the quantum key agreement.

scholarly journals Questioning the security of three recent authentication and key agreement protocols

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Amir Masoud Rahmani ◽  
Mokhtar Mohammadi ◽  
Shima Rashidi ◽  
Jan Lansky ◽  
Stanislava Mildeova ◽  
...  
Keyword(s):  
Key Agreement ◽  
Authentication And Key Agreement ◽  
Agreement Protocols

Identity-based key agreement protocols from pairings

2007 ◽  
Vol 6 (4) ◽  
pp. 213-241 ◽  
Author(s):  
L. Chen ◽  
Z. Cheng ◽  
N. P. Smart
Keyword(s):  
Key Agreement ◽  
Identity Based ◽  
Agreement Protocols

Enhancing Privacy in PUF-Cash through Multiple Trusted Third Parties and Reinforcement Learning

2022 ◽  
Vol 18 (1) ◽  
pp. 1-26
Author(s):  
Georgios Fragkos ◽  
Cyrus Minwalla ◽  
Eirini Eleni Tsiropoulou ◽  
Jim Plusquellic
Keyword(s):  
User Anonymity ◽  
Third Party ◽  
Security And Privacy ◽  
Machine Learning Techniques ◽  
User Privacy ◽  
Trusted Third Party ◽  
Physical Unclonable Functions ◽  
Learning Techniques ◽  
Direct Contrast ◽  
Debit Cards

Electronic cash ( e-Cash ) is a digital alternative to physical currency such as coins and bank notes. Suitably constructed, e-Cash has the ability to offer an anonymous offline experience much akin to cash, and in direct contrast to traditional forms of payment such as credit and debit cards. Implementing security and privacy within e-Cash, i.e., preserving user anonymity while preventing counterfeiting, fraud, and double spending, is a non-trivial challenge. In this article, we propose major improvements to an e-Cash protocol, termed PUF-Cash, based on physical unclonable functions ( PUFs ). PUF-Cash was created as an offline-first, secure e-Cash scheme that preserved user anonymity in payments. In addition, PUF-Cash supports remote payments; an improvement over traditional currency. In this work, a novel multi-trusted-third-party exchange scheme is introduced, which is responsible for “blinding” Alice’s e-Cash tokens; a feature at the heart of preserving her anonymity. The exchange operations are governed by machine learning techniques which are uniquely applied to optimize user privacy, while remaining resistant to identity-revealing attacks by adversaries and trusted authorities. Federation of the single trusted third party into multiple entities distributes the workload, thereby improving performance and resiliency within the e-Cash system architecture. Experimental results indicate that improvements to PUF-Cash enhance user privacy and scalability.

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