Trusted Third Party Based Key Management for Enhancing LoRaWAN Security

2017 ◽  
Author(s):  
Sarra Naoui ◽  
Mohamed Elhoucine Elhdhili ◽  
Leila Azouz Saidane
Keyword(s):  
Key Management ◽  
Third Party ◽  
Trusted Third Party

Retained-Key Encryption

2013 ◽  
Vol 5 (2) ◽  
pp. 1-17
Author(s):  
David Crowe ◽  
Wasim Al-Hamdani
Keyword(s):  
Key Management ◽  
Secure Communication ◽  
Communication Channel ◽  
User Authentication ◽  
Third Party ◽  
Management Model ◽  
Trusted Third Party ◽  
Software Application ◽  
Private Key ◽  
Alternative Means

This paper presents a synchronous encryption key management model that does not require the sender to disclose the encryption key in order to effect decryption. This eliminates the need for key exchange mechanisms, giving the sender improved control over their keys. The retained-key model is presented as being a software application that handles the initiation of a secure communication channel between sender and receiver, and facilitates user authentication by a trusted third party—presumably, the software’s vendor. This model is not intended to replace public/private key-based mechanisms, as they serve an important role in message signing and authentication. Rather, it seeks to provide an alternative means of decrypting messages in a secure fashion while allowing the sender to avoid the need to disclose the message’s key.

scholarly journals A Secure Data Storage Strategy for Private Cloud

2020 ◽  
Vol 9 (6) ◽  
pp. 1043-1049
Keyword(s):  
Data Storage ◽  
Data Security ◽  
Key Management ◽  
Data Encryption ◽  
Cloud Services ◽  
Third Party ◽  
Widespread Application ◽  
Trusted Third Party ◽  
Cloud Data ◽  
Security Issues

In recent years, with the widespread application of cloud computing, more and more enterprises, institutions, and individuals have started to use cloud services to place their data in the cloud. With the rise of cloud services, the accompanying data security issues have received increasing attention. Because data stores are in the cloud, there are many outstanding security issues. This paper proposes a public cloud data security solution based on a trusted third-party platform. The solution is based on an independent and trusted third-party platform, and has certain advantages in data encryption, key management, data awareness, data sharing, and accident responsibility.

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.

scholarly journals Decentralized collaborative TTP free approach for privacy preservation in location based services

2019 ◽  
Vol 9 (6) ◽  
pp. 5376
Author(s):  
Ajaysinh Devendrasinh Rathod ◽  
Saurabh Shah ◽  
Vivaksha J. Jariwala
Keyword(s):  
Privacy Preservation ◽  
Location Privacy ◽  
Emergency Services ◽  
Personal Information ◽  
Personal Digital Assistant ◽  
Minimum Cost ◽  
Location Based Services ◽  
Third Party ◽  
Trusted Third Party ◽  
Recent Trends

In recent trends, growth of location based services have been increased due to the large usage of cell phones, personal digital assistant and other devices like location based navigation, emergency services, location based social networking, location based advertisement, etc. Users are provided with important information based on location to the service provider that results the compromise with their personal information like user’s identity, location privacy etc. To achieve location privacy of the user, cryptographic technique is one of the best technique which gives assurance. Location based services are classified as Trusted Third Party (TTP) & without Trusted Third Party that uses cryptographic approaches. TTP free is one of the prominent approach in which it uses peer-to-peer model. In this approach, important users mutually connect with each other to form a network to work without the use of any person/server. There are many existing approaches in literature for privacy preserving location based services, but their solutions are at high cost or not supporting scalability.  In this paper, our aim is to propose an approach along with algorithms that will help the location based services (LBS) users to provide location privacy with minimum cost and improve scalability.

scholarly journals A Quantum Dual-Signature Protocol Based on SNOP States without Trusted Participant

Entropy ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. 1294
Author(s):  
Kejia Zhang ◽  
Xu Zhao ◽  
Long Zhang ◽  
Guojing Tian ◽  
Tingting Song
Keyword(s):  
Quantum Signature ◽  
Third Party ◽  
Trusted Third Party ◽  
Protocol Security ◽  
Verification Process ◽  
Orthogonal Product ◽  
First Time

Quantum dual-signature means that two signed quantum messages are combined and expected to be sent to two different recipients. A quantum signature requires the cooperation of two verifiers to complete the whole verification process. As an important quantum signature aspect, the trusted third party is introduced to the current protocols, which affects the practicability of the quantum signature protocols. In this paper, we propose a quantum dual-signature protocol without arbitrator and entanglement for the first time. In the proposed protocol, two independent verifiers are introduced, here they may be dishonest but not collaborate. Furthermore, strongly nonlocal orthogonal product states are used to preserve the protocol security, i.e., no one can deny or forge a valid signature, even though some of them conspired. Compared with existing quantum signature protocols, this protocol does not require a trusted third party and entanglement resources.

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