Reliable Device Sharing Mechanisms for Dual-OS Embedded Trusted Computing

Sangorrin, Daniel; Honda, Shinya; Takada, Hiroaki

doi:10.1007/978-3-642-30921-2_5

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…These schemes lay the foundation for implementing DAA on the mobile platform. Although, Wachsmann et al [20] describe a lightweight DAA scheme applied on embedded devices, it does not meet the general standards of TPM APIs.…”

Section: Related Workmentioning

confidence: 97%

A Lightweight Anonymous Mobile Shopping Scheme Based on DAA for Trusted Mobile Platform

Yang

Feng

Qin

2014

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

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The deposit security and the purchasing anonymity are two important issues when consumers do shopping on mobile platforms. However, there is currently no solution to completely address both the issues. In this paper, we propose a lightweight anonymous mobile shopping scheme based on DAA for trusted mobile platform. By fully considering the background of mobile applications, we design the scheme according to four elliptic curve based DAA (ECC-DAA) schemes. The entities of mobile device manufacturer, mobile device, central trusted party, banks and e-commerce platform compose the system architecture and seven phases are designed accordingly. Moreover, we present the architecture of trusted mobile platform based on TrustZone and TPM emulator, which helps achieve seven security properties including the deposit security and the purchasing anonymity. The issues about sensitive data management and credential revocation are discussed. ECC-DAA schemes including CF08, BCL08, BL10 and CPS10 and three kinds of elliptic curves including MNT, BN and super singular curve are finally compared and implemented as foundation. The simulating experiment result indicates that the proposed scheme with our trusted architecture has a good computing performance for consumers using mobile devices.

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Section: Related Workmentioning

confidence: 97%

A Lightweight Anonymous Mobile Shopping Scheme Based on DAA for Trusted Mobile Platform

Yang

Feng

Qin

2014

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

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“…The chosen mechanism for inter-environment communication must ensure reliability, maintain minimal overhead, and protect communication structures. Several models of communication have been identified in the literature, including the Glob-alPlatform TEE Client API, the secure Remote Procedure Call (RPC) of Trusted Language Runtime [21], and the real-time RPC of SafeG [22]. These models are designed to address the challenges associated with secure inter-environment communication and contribute to the secure and efficient operation of the TEE.…”

Section: Building Blocks Of Teementioning

confidence: 99%

Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge

Zobaed

Mokhtari

Champati

et al. 2022

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)

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Confidential computing has gained prominence due to the escalating volume of datadriven applications (e.g., machine learning and big data) and the acute desire for secure processing of sensitive data, particularly, across distributed environments, such as edge-to-cloud continuum. Provided that the works accomplished in this emerging area are scattered across various research fields, this paper aims at surveying the fundamental concepts, and cutting-edge software and hardware solutions developed for confidential computing using trusted execution environments, homomorphic encryption, and secure enclaves. We underscore the significance of building trust in both hardware and software levels and delve into their applications particularly for machine learning (ML) applications. While substantial progress has been made, there are some barely-explored areas that need extra attention from the researchers and practitioners in the community to improve confidentiality aspects, develop more robust attestation mechanisms, and to address vulnerabilities of the existing trusted execution environments. Providing a comprehensive taxonomy of the confidential computing landscape, this survey enables researchers to advance this field to ultimately ensure the secure processing of users' sensitive data across a multitude of applications and computing tiers.

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“…The concept of self-secured devices is based on the self-virtualizing approach [23,24]. In the remaining of this section we describe existing shared device access approaches for virtualization-and TrustZone-based architectures, namely proxy task [18], para-TrustZone [9], and device re-partitioning [22].…”

Section: Related Workmentioning

confidence: 99%

“…Device re-partitioning allows a device that has been already assigned to a security state to be dynamically re-assigned to another, at run-time [22]. Devices can be configured and re-configured as part of the secure or normal world through the TrustZone Protection Controller (TZPC).…”

Section: Device Re-partitioningmentioning

confidence: 99%

Self-secured devices: High performance and secure I/O access in TrustZone-based systems

Pinto

Machado

Oliveira

et al. 2021

Journal of Systems Architecture

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Reliable Device Sharing Mechanisms for Dual-OS Embedded Trusted Computing

Cited by 8 publications

References 9 publications

A Lightweight Anonymous Mobile Shopping Scheme Based on DAA for Trusted Mobile Platform

A Lightweight Anonymous Mobile Shopping Scheme Based on DAA for Trusted Mobile Platform

Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge

Self-secured devices: High performance and secure I/O access in TrustZone-based systems

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