30 research outputs found

    Clustering and 5G-enabled smart cities: a survey of clustering schemes in VANETs

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    This chapter highlights the importance of Vehicular Ad-hoc Networks (VANETs) in the context of the 5Genabled smarter cities and roads, a topic that attracts significant interest. In order for VANETs and its associated applications to become a reality, a very promising avenue is to bring together multiple wireless technologies in the architectural design. 5G is envisioned to have a heterogeneous network architecture. Clustering is employed in designing optimal VANET architectures that successfully use different technologies, therefore clustering has the potential to play an important role in the 5G-VANET enabled solutions. This chapter presents a survey of clustering approaches in the VANET research area. The survey provides a general classification of the clustering algorithms, presents some of the most advanced and latest algorithms in VANETs, and it is among the fewest works in the literature that reviews the performance assessment of clustering algorithms

    Cloud Security Using Face Recognition

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    Information Security Awareness On-Line Materials Design with Knowledge Maps

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    [[abstract]]Information Security Awareness, though known as a primary and important issue in the domain of Information Security, CSI computer crime and security survey showed poor security awareness training in public and private sectors. In many studies, the authors have found that the usage of knowledge maps helps the process of learning and conception building. Therefore, the authors have tried to figure out if the implementation of knowledge maps on the training materials of Information Security Awareness will improve the learning performance. Based on the e-learning materials for E-Mail Information Security Awareness, the authors designed them in the format of knowledge maps and compared the learning performance with common browsing-based materials. The results showed the knowledge map-based materials lead to higher learning performance than browse-based ones.[[journaltype]]國外[[incitationindex]]EI[[booktype]]紙本[[countrycodes]]US
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