Showing 1,121 - 1,140 results of 1,622 for search '"cloud computing"', query time: 0.07s Refine Results
  1. 1121

    CYBER THREAT INTELLIGENCE AND INFORMATION SHARING IN CLOUD ECOSYSTEMS by Ankur Mahida, Anuj Tyagi

    Published 2025-03-01
    “…The fast growth of cloud computing technologies has made CTI and information sharing inevitable and imperative to the improvement of cloud ecosystems' cybersecurity. …”
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    Article
  2. 1122

    Time-constrained strong multi-designated verifier signature suitable for Internet of things–based collaborative fog computing systems by Han-Yu Lin

    Published 2021-03-01
    “…Fog computing is viewed as an extended technique of cloud computing. In Internet of things–based collaborative fog computing systems, a fog node aggregating lots of data from Internet of things devices has to transmit the information to distributed cloud servers that will collaboratively verify it based on some predefined auditing policy. …”
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    Article
  3. 1123

    Real-time Defense Against Cyber Threats: Analyzing Wazuh's Effectiveness in Server Monitoring by Alde Alanda, H.A Mooduto, Ronal Hadi

    Published 2023-09-01
    “… As cloud computing grows exponentially, organizations face escalating cybersecurity challenges due to increased cyber threats and attacks on cloud-based networks. …”
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    Article
  4. 1124

    Current developments, applications, challenges and future trends in internet of things: A survey by Maha Helal

    Published 2025-01-01
    “…The paper also anticipates future trends in IoT, particularly the integration of 5G connectivity, cloud computing and AI, and identifies areas for future research to address current challenges and explore new applications.…”
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    Article
  5. 1125

    Engineering The Future of Higher Education: A VOSviewer Analysis of Smart University Trends in The Digitalization and Industry 5.0 Era by Rosak-Szyrocka Joanna

    Published 2025-03-01
    “…Significant issues include the use of IoT, AI, and cloud computing for enhancing processes, learning environments, and safety on campus. …”
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    Article
  6. 1126

    Efficient Resources Provisioning Based on Load Forecasting in Cloud by Rongdong Hu, Jingfei Jiang, Guangming Liu, Lixin Wang

    Published 2014-01-01
    “…We propose a multi-step-ahead load forecasting method, KSwSVR, based on statistical learning theory which is suitable for the complex and dynamic characteristics of the cloud computing environment. It integrates an improved support vector regression algorithm and Kalman smoother. …”
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    Article
  7. 1127

    A Framework for Automated Digital Media Asset Acquisition using Cloud by Adrian VINTILA, Constanta Nicoleta BODEA

    Published 2025-01-01
    “…These findings highlight the potential of automation and cloud computing to optimize media workflows, ultimately improving production speed and operational efficiency which can also lead to potential economic benefits.…”
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    Article
  8. 1128

    NEW TECHNOLOGIES IN TRANSPORT IN THE FACE OF CHALLENGES OF ECONOMY 4.0 by Katarzyna KOLASIŃSKA-MORAWSKA, Łukasz SUŁKOWSKI, Paweł MORAWSK

    Published 2019-03-01
    “…Artificial Intelligence, the Internet of Things (IoT), the Internet of Everything (IoE), hyperconnectivity, cloud computing applications and services, Big Data Analytics (BDA), Big-Dataas-a-Service (BDaaS), automation and robotisation are just a few of the technologies that the authors found worth looking at in more detail with regard to transport. …”
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    Article
  9. 1129

    An intelligent and simplified 5G wireless network technology by Yuhong HUANG, Qi SUN, Minli JIA, Ran DUAN, Zhuo CHEN

    Published 2021-05-01
    “…5G is the current focus of the development of the information and communication industry, and is gradually being deployed and commercialized.The 5G network will cover toC to toB, aiming at the interconnection of everything, so the complexity and challenges are unprecedented.In order to meet the needs of multiple scenarios, 5G network technology is complex and flexible in design, and the traditional management and operation methods are difficult and costly.At the same time, industry application requirements are very different and demanding.All of these require integrated solutions such as cloud-network integration and network industry collaboration.In response to the above-mentioned problems and needs, an intelligent and simplified 5G wireless network technology framework was proposed.Through innovative thinking and technology development of wireless networks, 5G and artificial intelligence, cloud computing, big data, edge computing and other new technologies were integrated and innovated to continuously improve 5G capabilities and promote the deep convergence of 5G and DOICT.A detailed introduction to the entire framework, platforms and applications in the above technology system were given.Finally, a technical outlook was proposed for shaping a new 5G ecology that supported green, smart, efficient operation, and the internet of everything.…”
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  10. 1130

    A Systemic Approach to Evaluating Fintech-Driven Competitiveness in Commercial Banks: Integrating Delphi and ANP Methods by Xin Wang, Wenxiu Hu, Na Guan

    Published 2025-05-01
    “…First, the Delphi method identifies five fintech subsystems: big data, artificial intelligence, cloud computing, the Internet of Things, and blockchain. …”
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    Article
  11. 1131

    Detection method of LDoS attack based on ACK serial number step-length by Zhijun WU, Qingbo PAN, Meng YUE

    Published 2018-07-01
    “…Low-rate denial of service (LDoS) attack is a potential security threat to big data centers and cloud computing platforms because of its strong concealment.Based on the analysis of network traffic during the LDoS attack,statistical analysis was given of ACK packets returned by the data receiver to the sender,and result reveals the sequence number step had the characteristics of volatility during the LDoS attack.The permutation entropy method was adopted to extract the characteristics of volatility.Hence,an LDoS attack detection method based on ACK serial number step permutation entropy was proposed.The serial number was sampled and the step length was calculated through collecting the ACK packets that received at the end of sender.Then,the permutation entropy algorithm with strong time-sensitive was used to detect the mutation step time,and achieve the goal of detecting LDoS attack.A test-bed was designed and built in the actual network environment for the purpose of verifying the proposed approach performance.Experimental results show that the proposed approach has better detection performance and has achieved better detection effect.…”
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  12. 1132

    An efficient deception architecture for cloud-based virtual networks by Mohammad Qasem, Hussain M J Almohri

    Published 2019-08-01
    “…A central challenge to the theory of misery digraphs is verifying their applicability in prominent cloud computing platforms as well as measuring the efficiency of networks that adapt them. …”
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    Article
  13. 1133

    Integration Research of Pantograph-Catenary Detection System for Intelligent Operation and Maintenance of Heavy-haul Locomotive by Jiejun LYU, Hongjun HE, Congjian JIANG

    Published 2021-07-01
    “…Through the integrated research of pantograph catenary detection system and the comprehensive application of vehicle network, internet of things, cloud computing, image recognition and machine vision algorithm, an on-board pantograph catenary detection system suitable for heavy-duty locomotive with the functions of catenary state inspection, pantograph dynamic operation parameter detection and pantograph catenary dynamic interaction relationship detection was proposed. …”
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    Article
  14. 1134

    Navigating industry 4.0 and 5.0: the role of hybrid modelling in (bio)chemical engineering’s digital transition by Carina L. Gargalo, Alina A. Malanca, Adem R. N. Aouichaoui, Jakob K. Huusom, Krist V. Gernaey

    Published 2024-12-01
    “…Although there have been many innovations in the field of machine learning, AI, and cloud computing, the industry is still some distance away from becoming truly digital; this is particularly true in the case of the biochemical industry, which in many ways still is in the industry 3.0 stages. …”
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    Article
  15. 1135

    Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul Railway by ZHANG Bin, LI Fei, WANG Duo, LYU Gexing, WANG Dalong

    Published 2021-01-01
    “…In recent years, with the emergence and popularization of a series of new intelligent technologies such as cloud computing, big data, IoT, mobile internet and artificial intelligence, how to use resources comprehensively and efficiently to realize comprehensive perception, ubiquitous interconnection, fusion processing, active learning and scientific decision-making of information among railway heavy-haul trains, mobile equipment, fixed infrastructure and internal and external environments, to provide guarantee for the safe and stable operation of heavy haul combined trains on the railway, becomes an important topic at present. …”
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    Article
  16. 1136

    Cultivation Method Analysis for Teachers’ Teaching Ability Driven by Artificial Intelligence Technology by Yanfang Chen, Shasha Xu

    Published 2022-01-01
    “…Colleges and universities have reached a new stage in their evolution, one marked by intelligent use of technology, as represented by the fourth generation of information technology: cloud computing, big data, and artificial intelligence. …”
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    Article
  17. 1137

    Adaptive user-oriented fuzzy-based service broker for cloud services by Mutaz Al-Tarawneh, Amjed Al-Mousa

    Published 2022-02-01
    “…The algorithm is implemented using an open-source cloud computing simulation tool. The algorithm results are tested against the results of other existing techniques within two types of cloud environments. …”
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  18. 1138

    V2X offloading and resource allocation under SDN and MEC architecture by Haibo ZHANG, Zixin WANG, Xiaofan HE

    Published 2020-01-01
    “…To address the serious problem of delay and energy consumption increase and service quality degradation caused by complex network status and huge amounts of computing data in the scenario of vehicle-to-everything (V2X),a vehicular network architecture combining mobile edge computing (MEC) and software defined network (SDN) was constructed.MEC sinks cloud serviced to the edge of the wireless network to compensate for the delay fluctuation caused by remote cloud computing.The SDN controller could sense network information from a global perspective,flexibly schedule resources,and control offload traffic.To further reduce the system overhead,a joint task offloading and resource allocation scheme was proposed.By modeling the MEC-based V2X offloading and resource allocation,the optimal offloading decision,communication and computing resource allocation scheme were derived.Considering the NP-hard attribute of the problem,Agglomerative Clustering was used to select the initial offloading node,and Q-learning was used for resource allocation.The offloading decision was modeled as an exact potential game,and the existence of Nash equilibrium was proved by the potential function structure.The simulation results show that,as compared to other mechanisms,the proposed mechanism can effectively reduce the system overhead.…”
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    Article
  19. 1139

    Survey on data security and privacy-preserving for the research of edge computing by Jiale ZHANG, Yanchao ZHAO, Bing CHEN, Feng HU, Kun ZHU

    Published 2018-03-01
    “…With the rapid development and extensive application of the Internet of things (IoT),big data and 5G network architecture,the massive data generated by the edge equipment of the network and the real-time service requirements are far beyond the capacity if the traditional cloud computing.To solve such dilemma,the edge computing which deploys the cloud services in the edge network has envisioned to be the dominant cloud service paradigm in the era of IoT.Meanwhile,the unique features of edge computing,such as content perception,real-time computing,parallel processing and etc.…”
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    Article
  20. 1140

    International Standards for Digital Twins by Esra Kumaş

    Published 2024-12-01
    “…Interest in digital twins has grown significantly due to the maturation of enabling technologies, including cloud computing, 5G, data storage, computing capabilities, the Internet of Things (IoT), Artificial Intelligence (AI), and machine learning. …”
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