Vehicle Theft Detection Using Machine Learning

 In the age of cloud computing, cloud users with limited storage can outsource their data to remote servers. These servers, in lieu of monetary benefits, offer retrievability of their clients’ data at any point of time. Secure cloud storage protocols enable a client to check integrity of outsourced data. In this article, we explore the possibili...

deep Q-network resource allocation algorithm DRL algorithms secure network coding Secure cloud storage

Secure cloud storage with data dynamic using secure network coding

 In the age of cloud computing, cloud users with limited storage can outsource their data to remote servers. These servers, in lieu of monetary benefits, offer retrievability of their clients’ data at any point of time. Secure cloud storage protocols enable a client to check integrity of outsourced data. In this article, we explore the possibili...

Secure cloud storage Privacy Data Processing Data mining Cryptography SHA Algorithum

ONLINE DEEP REINFORCEMENT LEARNING FOR COMPUTATION OFFLOADING IN BLOCKCHAIN-EMPOWERED MOBILE EDGE COMPUTING

 Offloading computation-intensive tasks (e.g., blockchain consensus processes and data processing tasks) to the edge/cloud is a promising solution for blockchain-empowered mobile edge computing. However, the traditional offloading approaches (e.g., auction-based and game-theory approaches) fail to adjust the policy according to the changing environ...

BLOCK CHAIN BASED SECURED DATA TRANSFER IN MOBILE CLOUD COMPUTING

 Offloading computation-intensive tasks (e.g., block chain agreement cycles and information handling undertakings) to the edge/cloud is a promising answer for block chain-enabled versatile edge figuring. Nonetheless, the conventional offloading approaches (e.g., sell off based and game-hypothesis draws near) neglect to change the strategy as per the...

NPRACH-Aware Link Adaptation and Uplink Resource Allocation in NB-IoT Cellular Networks

 In narrowband Internet of Things (NB-IoT), a link adaptation technique can be performed, considering multiple resource unit types, repetition numbers, and modulation-coding schemes, to enhance transmission reliability. Then, a base station should allocate downlink and uplink resources for each device using the link adaptation decision to transmit d...

Fog-enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing

 Fog/edge computing has been recently regarded as a promising approach for supporting emerging mission-critical Internet of Things (IoT) applications on capacity and battery constrained devices. By harvesting and collaborating a massive crowd of devices in close proximity for computation, communication and caching resource sharing (i.e., 3C resource...

AFED-EF An Energy-efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center

 Cloud Data Centers (CDCs) have become a vital computing infrastructure for enterprises. However, CDCs consume substantial energy due to the increased demand for computing power, especially for the Internet of Things (IoT) applications. Although a great deal of research in green resource allocation algorithms have been proposed to reduce the energy ...

Resource Optimization and Delay Guarantee Virtual Network Function Placement for Mapping SFC Requests in Cloud Networks

 Since the advent of network function virtualization (NFV), cloud service providers (CSPs) can implement traditional dedicated network devices as software and flexibly instantiate network functions (NFs) on common off-the-shelf servers. NFV technology enables CSPs to deploy their NFs to a cloud data center in the form of virtual network functions (V...