Preliminary Study of Trusted Execution Environments on Heterogeneous Edge Platforms

Ning, Zhenyu; Liao, Jinghui; Zhang, Fengwei; Shi, Weisong

doi:10.1109/sec.2018.00057

Cited by 19 publications

(8 citation statements)

References 19 publications

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“…When the data consumer invokes the smart contracts for accessing the user data, only the successful invocation of the contracts results in the release of the key for decrypting the user data. Then the trusted program (Ning et al, 2018) extracts the hash from the blockchain, uses this hash to retrieve the data from the off-chain storage, decrypts it and releases the data to the data consumer while settling the incentives for the data owner. Blockchain and smart contracts support users by giving the users full transparency over who accesses their data, when and for what purpose, allowing the users to specify a range of purposes of data sharing, kinds of data that can be shared, and classes of applications/companies that can access the data, and providing an incentive to the users for sharing their data (in terms of payment for the use of the data by applications, as specified by the contracts).…”

Section: Proposed Platformmentioning

confidence: 99%

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

2020

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We propose a new platform for user modeling with blockchains that allows users to share data without losing control and ownership of it and applied it to the domain of travel booking. Our new platform provides solution to three important problems: ensuring privacy and user control, and incentives for sharing. It tracks who shared what, with whom, when, by what means and for what purposes in a verifiable fashion. The paper presents a case study of applying the framework for a hotel reservation system as one of the enterprise nodes of Multichain which collects users' profile data and allows users to receive rewards while sharing their data with other travel service providers according to their privacy preferences expressed in smart contracts. The user data from the repository is converted into an open data format and shared via stream in the blockchain so that other nodes can efficiently process and use the data. The smart contract verifies and executes the agreed terms of use of the data and transfers digital tokens as a reward to the user. The smart contract imposes double deposit collateral to ensure that all participants act honestly. The paper also presents a performance evaluation of the new platform by analyzing latency and memory consumption with selected three test-scenarios and measuring the transaction cost for smart contracts deployment. The results show that the node responded quickly in all our cases with a befitting transaction cost.

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Section: Proposed Platformmentioning

confidence: 99%

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

2020

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“…13 shows the visual illustration of an Intel SGX-compatible system. The Metaverse platform owner can Trusted Execution Environment Encrypt a portion of CPU memory to isolate specific application in memory [212] Trusted Execution Environment Evaluate the feasibility of deploying TEE on edge device with different CPU [213] Trusted Execution Environment Following [211], the data are encrypted in the TEE before they are offloaded to other edge servers [214] Federated Learning Integrated differential privacy into FL to improve the protection level [215] Federated Learning Following [214], randomized mechanism are added together with DP to hide users' contributions during training [216] Adversarial Machine Learning Distance between data points and distribution-estimation based outlier detection algorithms are used to defence against poisoning attack [217] Adversarial Machine Learning Propose to use multiple models to form a model family so that it is more robust in white-box attack scenario [218] Adversarial Machine Learning Propose to use label change rate to protect the pruned neural network against adversarial sample set up a list of requirements to prevent the users from using edge devices that are not using SGX-enabled Intel CPU. With the help of SGX, edge devices can trust the data running on a platform with the latest security updates.…”

Section: Privacy and Securitymentioning

confidence: 99%

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Xu¹,

Ng²,

Lim³

et al. 2022

Preprint

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Dubbed "the successor to the mobile Internet", the concept of the Metaverse has grown in popularity. While there exist lite versions of the Metaverse today, they are still far from realizing the full vision of an immersive, embodied, and interoperable Metaverse. Without addressing the issues of implementation from the communication and networking, as well as computation perspectives, the Metaverse is difficult to succeed the Internet, especially in terms of its accessibility to billions of users today. In this survey, we focus on the edge-enabled Metaverse to realize its ultimate vision. We first provide readers with a succinct tutorial of the Metaverse, an introduction to the architecture, as well as current developments. To enable the ubiquitous, seamless, and embodied access to the Metaverse, we discuss the communication and networking challenges and survey cutting-edge solutions and concepts that leverage next-generation communication systems for users to be telepresent and teleoperate in the Metaverse. Moreover, given the high computation costs required, e.g., to render immersive 3D worlds and run data hungry artificial intelligence (AI) driven applications, we discuss the computation challenges and cloud-edge-end computation framework driven solutions to realize the Metaverse on resource-constrained edge devices. Next, we explore how blockchain technologies can aid in the interoperable development of the Metaverse, not just in terms of empowering the economic circulation of virtual usergenerated contents, but also to manage physical edge resources in a decentralized, transparent, and tamper-proof manner. Finally, we discuss the future research directions towards realizing the true vision of the edge-enabled Metaverse.

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“…It has been shown that HW assisted TEEs can improve security in a distributed cloud environment and with low performance overhead [28]. The concept of open framework and elastic scaling of TEEs on edge platforms needs to be analyzed more; first studies indicate that privacy and trust can be provided by scalable TEEs for heterogeneous systems (such as a combination of CPUs and GPUs) for performing data intensive computation [29] as needed for demanding 6G use cases such as mixed and augmented reality.…”

Section: Security Appmentioning

confidence: 99%

Security and Trust in the 6G Era

Ziegler¹,

Schneider

Viswanathan

et al. 2021

IEEE Access

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A comprehensive set of security technology enablers will be critically required for communication systems for the 6G era of the 2030s. Trustworthiness must be assured across IoT, heterogenous cloud and networks, devices, sub-networks, and applications. The 6G threat vector will be defined by 6G architectural disaggregation, open interfaces and an environment with multiple stakeholders. Broadly decomposed into domains of cyber-resilience, privacy and trust and their respective intersection, we explore relevant security technology enablers including automated software creation and automated closedloop security operation, privacy preserving technologies, hardware and cloud embedded anchors of trust, quantum-safe security, jamming protection and physical layer security as well as distributed ledger technologies. Artificial intelligence and machine learning (AI/ML) as a key technology enabler will be pervasive and of pivotal relevance across the security technology stack and architecture. A novel vision for a trustworthy Secure Telecom Operation Map is developed as part of the automated closed loop operations paradigm.

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Preliminary Study of Trusted Execution Environments on Heterogeneous Edge Platforms

Cited by 19 publications

References 19 publications

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Security and Trust in the 6G Era

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