Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (35)
  • Open Access

    ARTICLE

    M-IDM: A Multi-Classification Based Intrusion Detection Model in Healthcare IoT

    Jae Dong Lee1,2, Hyo Soung Cha1, Shailendra Rathore2, Jong Hyuk Park2,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1537-1553, 2021, DOI:10.32604/cmc.2021.014774

    Abstract In recent years, the application of a smart city in the healthcare sector via loT systems has continued to grow exponentially and various advanced network intrusions have emerged since these loT devices are being connected. Previous studies focused on security threat detection and blocking technologies that rely on testbed data obtained from a single medical IoT device or simulation using a well-known dataset, such as the NSL-KDD dataset. However, such approaches do not reflect the features that exist in real medical scenarios, leading to failure in potential threat detection. To address this problem, we proposed… More >

  • Open Access

    ARTICLE

    Security Requirement Management for Cloud-Assisted and Internet of Things—Enabled Smart City

    Muhammad Usman Tariq1, Muhammad Babar2, Mian Ahmad Jan3,4,5,*, Akmal Saeed Khattak6, Mohammad Dahman Alshehri7, Abid Yahya8

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 625-639, 2021, DOI:10.32604/cmc.2021.014165

    Abstract The world is rapidly changing with the advance of information technology. The expansion of the Internet of Things (IoT) is a huge step in the development of the smart city. The IoT consists of connected devices that transfer information. The IoT architecture permits on-demand services to a public pool of resources. Cloud computing plays a vital role in developing IoT-enabled smart applications. The integration of cloud computing enhances the offering of distributed resources in the smart city. Improper management of security requirements of cloud-assisted IoT systems can bring about risks to availability, security, performance, confidentiality, More >

  • Open Access

    ARTICLE

    Long-Term Preservation of Electronic Record Based on Digital Continuity in Smart Cities

    Yongjun Ren1,2, Kui Zhu1,2, Yuqiu Gao3, Jinyue Xia4,*, Shi Zhou1,2, Ruiguo Hu1,2, Xiujuan Feng5

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3271-3287, 2021, DOI:10.32604/cmc.2021.011153

    Abstract Under the co-promotion of the wave of urbanization and the rise of data science, smart cities have become the new concept and new practice of urban development. Smart cities are the combination of information technology represented by the Internet of Things, cloud computing, mobile networks and big data, and urbanization. How to effectively achieve the long-term preservation of massive, heterogeneous, and multi-source digital electronic records in smart cities is a key issue that must be solved. Digital continuity can ensure the accessibility, integrity and availability of information. The quality management of electronic record, like the More >

  • Open Access

    ARTICLE

    Enabling Smart Cities with Cognition Based Intelligent Route Decision in Vehicles Empowered with Deep Extreme Learning Machine

    Dildar Hussain1, Muhammad Adnan Khan2,*, Sagheer Abbas3, Rizwan Ali Naqvi4, Muhammad Faheem Mushtaq5, Abdur Rehman3, Afrozah Nadeem2

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 141-156, 2021, DOI:10.32604/cmc.2020.013458

    Abstract The fast-paced growth of artificial intelligence provides unparalleled opportunities to improve the efficiency of various industries, including the transportation sector. The worldwide transport departments face many obstacles following the implementation and integration of different vehicle features. One of these tasks is to ensure that vehicles are autonomous, intelligent and able to grow their repository of information. Machine learning has recently been implemented in wireless networks, as a major artificial intelligence branch, to solve historically challenging problems through a data-driven approach. In this article, we discuss recent progress of applying machine learning into vehicle networks for… More >

  • Open Access

    ARTICLE

    Mitigating and Monitoring Smart City Using Internet of Things

    Sudan Jha1, Lewis Nkenyereye2, *, Gyanendra Prasad Joshi3, Eunmok Yang4

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1059-1079, 2020, DOI:10.32604/cmc.2020.011754

    Abstract The present trends in smart world reflects the extensive use of limited resources through information and communication technology. The limited resources like space, mobility, energy, etc., have been consumed rigorously towards creating optimized but smart instances. Thus, a new concept of IoT integrated smart city vision is yet to be proposed which includes a combination of systems like noise and air loss monitoring, web monitoring and fire detection systems, smart waste bin systems, etc., that have not been clearly addressed in the previous researches. This paper focuses on developing an effective system for possible monitoring More >

Displaying 31-40 on page 4 of 35. Per Page