[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Xiao et al., 2020 - Google Patents

A reinforcement learning and blockchain-based trust mechanism for edge networks

Xiao et al., 2020

Document ID
16061377777030682028
Author
Xiao L
Ding Y
Jiang D
Huang J
Wang D
Li J
Poor H
Publication year
Publication venue
IEEE Transactions on Communications

External Links

Snippet

Mobile edge computing (MEC) raises the issue of resisting selfish edge attackers that use less computation resources than promised to process offloading tasks or provide faked computation results. In this paper, we present a blockchain based trust mechanism to help …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/485—Task life-cycle, e.g. stopping, restarting, resuming execution
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—INDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B60/00—Information and communication technologies [ICT] aiming at the reduction of own energy use
    • Y02B60/10—Energy efficient computing
    • Y02B60/16—Reducing energy-consumption in distributed systems
    • Y02B60/167—Resource sharing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—INDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B60/00—Information and communication technologies [ICT] aiming at the reduction of own energy use
    • Y02B60/10—Energy efficient computing
    • Y02B60/14—Reducing energy-consumption by means of multiprocessor or multiprocessing based techniques, other than acting upon the power supply
    • Y02B60/142—Resource allocation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—INDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B60/00—Information and communication technologies [ICT] aiming at the reduction of own energy use
    • Y02B60/50—Techniques for reducing energy-consumption in wireless communication networks

Similar Documents

Publication Publication Date Title
Xiao et al. A reinforcement learning and blockchain-based trust mechanism for edge networks
Guan et al. Towards secure and efficient energy trading in IIoT-enabled energy internet: A blockchain approach
Dai et al. Deep reinforcement learning and permissioned blockchain for content caching in vehicular edge computing and networks
Liu et al. A Bayesian Q-learning game for dependable task offloading against DDoS attacks in sensor edge cloud
Gu et al. Privacy on the edge: Customizable privacy-preserving context sharing in hierarchical edge computing
Li et al. Providing efficient privacy-aware incentives for mobile sensing
Abdallah et al. Lightweight security and privacy preserving scheme for smart grid customer-side networks
Duan et al. TSRF: A trust-aware secure routing framework in wireless sensor networks
Huang et al. Security and cost‐aware computation offloading via deep reinforcement learning in mobile edge computing
Zou et al. Reportcoin: A novel blockchain-based incentive anonymous reporting system
Yin et al. Trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks
Li et al. Fog computing-enabled secure demand response for internet of energy against collusion attacks using consensus and ACE
Liu et al. A stochastic evolutionary coalition game model of secure and dependable virtual service in sensor-cloud
Seng et al. User matching on blockchain for computation offloading in ultra-dense wireless networks
Gao et al. TrustWorker: A trustworthy and privacy-preserving worker selection scheme for blockchain-based crowdsensing
Deng et al. Blockchain assisted federated learning over wireless channels: Dynamic resource allocation and client scheduling
Xiong et al. Achieving incentive, security, and scalable privacy protection in mobile crowdsensing services
Xu et al. Deep reinforcement learning assisted edge-terminal collaborative offloading algorithm of blockchain computing tasks for energy Internet
Haseeb et al. EBDS: An energy-efficient big data-based secure framework using Internet of Things for green environment
Sun et al. Network security technology of intelligent information terminal based on mobile internet of things
Xuemin et al. Self-Organizing Key Security Management Algorithm in Socially Aware Networking
Li et al. Logisticschain: a blockchain‐based secure storage scheme for logistics data
Wu et al. A cloudlet-based multi-lateral resource exchange framework for mobile users
Wei et al. Privacy-aware multiagent deep reinforcement learning for task offloading in vanet
Kumar et al. Bayesian cooperative coalition game as a service for RFID-based secure QoS management in mobile cloud