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Search Results (105)
  • Open Access

    ARTICLE

    Evaluating the Impacts of Security-Durability Characteristic: Data Science Perspective

    Abdullah Alharbi1, Masood Ahmad2, Wael Alosaimi1, Hashem Alyami3, Alka Agrawal2, Rajeev Kumar4,*, Abdul Wahid5, Raees Ahmad Khan2

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 557-567, 2022, DOI:10.32604/csse.2022.020843 - 25 October 2021

    Abstract Security has always been a vital research topic since the birth of web application. A great deal of research has been conducted to determine the ways of identifying and classifying security issues or goals However, in the recent years, it has been noticed that high secure web applications have less durability; thus reducing their business continuity. High security features of a web application are worthless unless they provide effective services to the user and meet the standards of commercial viability. Hence, there is a need to bridge the gap between security and durability of the… More >

  • Open Access

    ARTICLE

    Hybrid Metaheuristics Web Service Composition Model for QoS Aware Services

    P. Rajeswari*, K. Jayashree

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 511-524, 2022, DOI:10.32604/csse.2022.020352 - 25 October 2021

    Abstract Recent advancements in cloud computing (CC) technologies signified that several distinct web services are presently developed and exist at the cloud data centre. Currently, web service composition gains maximum attention among researchers due to its significance in real-time applications. Quality of Service (QoS) aware service composition concerned regarding the election of candidate services with the maximization of the whole QoS. But these models have failed to handle the uncertainties of QoS. The resulting QoS of composite service identified by the clients become unstable and subject to risks of failing composition by end-users. On the other… More >

  • Open Access

    ARTICLE

    Ontology Based Ocean Knowledge Representation for Semantic Information Retrieval

    Anitha Velu*, Menakadevi Thangavelu

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4707-4724, 2022, DOI:10.32604/cmc.2022.020095 - 11 October 2021

    Abstract The drastic growth of coastal observation sensors results in copious data that provide weather information. The intricacies in sensor-generated big data are heterogeneity and interpretation, driving high-end Information Retrieval (IR) systems. The Semantic Web (SW) can solve this issue by integrating data into a single platform for information exchange and knowledge retrieval. This paper focuses on exploiting the SW base system to provide interoperability through ontologies by combining the data concepts with ontology classes. This paper presents a 4-phase weather data model: data processing, ontology creation, SW processing, and query engine. The developed Oceanographic Weather More >

  • Open Access

    ARTICLE

    Blockchain and Machine Learning for Intelligent Multiple Factor-Based Ride-Hailing Services

    Zeinab Shahbazi, Yung-Cheol Byun*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4429-4446, 2022, DOI:10.32604/cmc.2022.019755 - 11 October 2021

    Abstract One of the common transportation systems in Korea is calling taxis through online applications, which is more convenient for passengers and drivers in the modern area. However, the driver's passenger taxi request can be rejected based on the driver's location and distance. Therefore, there is a need to specify driver's acceptance and rejection of the received request. The security of this system is another main core to save the transaction information and safety of passengers and drivers. In this study, the origin and destination of the Jeju island South Korea were captured from T-map and More >

  • Open Access

    REVIEW

    A Review on Privacy Preservation of Location-Based Services in Internet of Things

    Raniyah Wazirali*

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 767-779, 2022, DOI:10.32604/iasc.2022.019243 - 22 September 2021

    Abstract Internet of Things (IoT) has become popular with the rapid development of sensing devices, and it offers a large number of services. Location data is one of the most important information required for IoT systems. With the widespread of Location Based Services (LBS) applications, the privacy and security threats are also emerging. Recently, a large number of studies focused on localization and positioning functionalities, however, the risk associated with user privacy has not been sufficiently addressed so far. Therefore, privacy and security of device location in IoT systems is an active area of research. Since… More >

  • Open Access

    ARTICLE

    Unprecedented Smart Algorithm for Uninterrupted SDN Services During DDoS Attack

    Muhammad Reazul Haque1, Saw Chin Tan1, Zulfadzli Yusoff2,*, Kashif Nisar3,7, Rizaludin Kaspin4, Iram Haider3, Sana Nisar3, J. P. C. Rodrigues5,6, Bhawani Shankar Chowdhry7, Muhammad Aslam Uqaili7, Satya Prasad Majumder8, Danda B. Rawat9, Richard Etengu1, Rajkumar Buyya10

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 875-894, 2022, DOI:10.32604/cmc.2022.018505 - 07 September 2021

    Abstract In the design and planning of next-generation Internet of Things (IoT), telecommunication, and satellite communication systems, controller placement is crucial in software-defined networking (SDN). The programmability of the SDN controller is sophisticated for the centralized control system of the entire network. Nevertheless, it creates a significant loophole for the manifestation of a distributed denial of service (DDoS) attack straightforwardly. Furthermore, recently a Distributed Reflected Denial of Service (DRDoS) attack, an unusual DDoS attack, has been detected. However, minimal deliberation has given to this forthcoming single point of SDN infrastructure failure problem. Moreover, recently the high More >

  • Open Access

    REVIEW

    Ensemble Learning Models for Classification and Selection of Web Services: A Review

    Muhammad Hasnain1, Imran Ghani2, Seung Ryul Jeong3,*, Aitizaz Ali1

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 327-339, 2022, DOI:10.32604/csse.2022.018300 - 26 August 2021

    Abstract This paper presents a review of the ensemble learning models proposed for web services classification, selection, and composition. Web service is an evolutionary research area, and ensemble learning has become a hot spot to assess web services’ earlier mentioned aspects. The proposed research aims to review the state of art approaches performed on the interesting web services area. The literature on the research topic is examined using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) as a research method. The study reveals an increasing trend of using ensemble learning in the chosen papers More >

  • Open Access

    ARTICLE

    Survey of COVID-19 impact on pediatric urology services

    Sheila Mallenahalli1, Matthew Fifolt2, Mohan Gundeti3, Yegappan Lakshmanan4, Patricio Gargollo5, Michael C. Ost6, Pankaj P. Dangle7

    Canadian Journal of Urology, Vol.28, No.5, pp. 10834-10840, 2021

    Abstract Introduction: To better understand how the COVID-19 pandemic has forced rapid operational changes in the global healthcare industry, changes implemented on an individual, institutional basis must be considered. There currently is not adequate literature about the overall impact COVID-19 has had on pediatric urology services worldwide. We believe that they have dramatically decreased during the COVID-19 crisis, but have adapted to accommodate changes. We hypothesize that patient care was widely variant due to inadequate standardized recommendations or crisis planning.
    Materials and methods: A web-based survey was deployed to 377 pediatric urologists globally via email to analyze COVID-19’s… More >

  • Open Access

    ARTICLE

    Centralized QoS Routing Model for Delay/Loss Sensitive Flows at the SDN-IoT Infrastructure

    Mykola Beshley1, Natalia Kryvinska2,*, Halyna Beshley1, Mykhailo Medvetskyi1, Leonard Barolli3

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3727-3748, 2021, DOI:10.32604/cmc.2021.018625 - 24 August 2021

    Abstract The rapidly increasing number of Internet of Things (IoT) devices and Quality of Service (QoS) requirements have made the provisioning of network solutions to meet this demand a major research topic. Providing fast and reliable routing paths based on the QoS requirements of IoT devices is very important task for Industry 4.0. The software-defined network is one of the most current interesting research developments, offering an efficient and effective solution for centralized control and network intelligence. A new SDN-IoT paradigm has been proposed to improve network QoS, taking advantage of SDN architecture in IoT networks.… More >

  • Open Access

    ARTICLE

    ECC: Edge Collaborative Caching Strategy for Differentiated Services Load-Balancing

    Fang Liu1,*, Zhenyuan Zhang2, Zunfu Wang1, Yuting Xing3

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2045-2060, 2021, DOI:10.32604/cmc.2021.018303 - 21 July 2021

    Abstract Due to the explosion of network data traffic and IoT devices, edge servers are overloaded and slow to respond to the massive volume of online requests. A large number of studies have shown that edge caching can solve this problem effectively. This paper proposes a distributed edge collaborative caching mechanism for Internet online request services scenario. It solves the problem of large average access delay caused by unbalanced load of edge servers, meets users’ differentiated service demands and improves user experience. In particular, the edge cache node selection algorithm is optimized, and a novel edge More >

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