Blockchain-Based Auditable Privacy-Preserving Data Classification for Internet of Things

Zhao, Yanqi; Yang, Xiaoyi; Yu, Yong; Qin, Baodong; Du, Xiaojiang; Guizani, Mohsen

doi:10.1109/jiot.2021.3097890

Cited by 14 publications

(2 citation statements)

References 26 publications

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“…Additionally, popular AI frameworks such as PyTorch and TensorFlow are integrated with the NVIDIA libraries to simplify the use of the GPU for AI developers. The NJTX2 is widely used in fields such as computer vision, data classification [28], deep learning [4] and other areas that require intensive computing. It has a wide range of applications, including Intelligent Video Analysis (IVA), drones, robots, gaming devices, virtual reality (vr), augmented reality (ar) and portable medical devices.…”

Section: Simulation Environment: Yolo-v4 and Njtx2mentioning

confidence: 99%

Energy and Performance Trade-Off Optimization in Heterogeneous Computing via Reinforcement Learning

Machado

Zahid

et al. 2020

Electronics

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This paper suggests an optimisation approach in heterogeneous computing systems to balance energy power consumption and efficiency. The work proposes a power measurement utility for a reinforcement learning (PMU-RL) algorithm to dynamically adjust the resource utilisation of heterogeneous platforms in order to minimise power consumption. A reinforcement learning (RL) technique is applied to analyse and optimise the resource utilisation of field programmable gate array (FPGA) control state capabilities, which is built for a simulation environment with a Xilinx ZYNQ multi-processor systems-on-chip (MPSoC) board. In this study, the balance operation mode for improving power consumption and performance is established to dynamically change the programmable logic (PL) end work state. It is based on an RL algorithm that can quickly discover the optimization effect of PL on different workloads to improve energy efficiency. The results demonstrate a substantial reduction of 18% in energy consumption without affecting the application’s performance. Thus, the proposed PMU-RL technique has the potential to be considered for other heterogeneous computing platforms.

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Section: Simulation Environment: Yolo-v4 and Njtx2mentioning

confidence: 99%

Energy and Performance Trade-Off Optimization in Heterogeneous Computing via Reinforcement Learning

Machado

Zahid

et al. 2020

Electronics

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“…Thus, it is necessary for BPM to monitor and validate executions during runtime [109]. 3) With a rapid growth of IoT, many researchers argued that BC would be widely adopted to manage IoT-enabled business processes cost-effectively [170][171][172]. Therefore, BPs will involve greater BC-based services.…”

Section: Introductionmentioning

confidence: 99%

Applications of Blockchain in Business Processes: A Comprehensive Review

Viriyasitavat

Niyato

et al. 2022

IEEE Access

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Blockchain (BC), as an emerging technology, is revolutionizing Business Process Management (BPM) in multiple ways. The main adoption is to serve as a trusted infrastructure to guarantee the trust of collaborations among multiple partners in trustless environments. Especially, BC enables trust of information by using Distributed Ledger Technology (DLT). With the power of smart contracts, BC enforces the obligations of counterparties that transact in a business process (BP) by programming the contracts as transactions. This paper aims to study the state-of-the-art of BC technologies by (1) exploring its applications in BPM with the focus on how BC provides the trust of BPs in their lifecycles; (2) identifying the relations of BPM as the need and BC as the solution with the assessment towards BPM characteristics; (3) discussing the up-to-date progresses of critical BC in BPM; (4) identifying the challenges and research directions for future advancement in the domain. The main conclusions of our comprehensive review are (1) the study of adopting BC in BPM has attracted a great deal of attention that has been evidenced by a rapidly growing number of relevant articles. (2) The paradigms of BPM over Internet of Things (IoT) have been shifted from persistent to transient, from static to dynamic, and from centralized to decentralized, and new enabling technologies are highly demanded to fulfill some emerging functional requirements (FRs) at the stages of design, configuration, diagnosis, and evaluation of BPs in their lifecycles. (3) BC has been intensively studied and proven as a promising solution to assure the trustiness for both of business processes and their executions in decentralized BPM. (4) Most of the reported BC applications are at their primary stages, future research efforts are needed to meet the technical challenges involved in interoperation, determination of trusted entities, confirmation of time-sensitive execution, and support of irreversibility.INDEX TERMS Blockchain, business process management, smart contracts, and trust assurance.

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Convergence of Blockchain and Iot

G.,

Aleti,

et al. 2024

Lecture Notes in Electrical Engineering

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Blockchain-Based Auditable Privacy-Preserving Data Classification for Internet of Things

Cited by 14 publications

References 26 publications

Energy and Performance Trade-Off Optimization in Heterogeneous Computing via Reinforcement Learning

Energy and Performance Trade-Off Optimization in Heterogeneous Computing via Reinforcement Learning

Applications of Blockchain in Business Processes: A Comprehensive Review

Convergence of Blockchain and Iot

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