1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references 34

          • Record: found
          • Abstract: not found
          • Article: not found

          A survey of trust and reputation systems for online service provision

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Computational solutions to large-scale data management and analysis.

            Today we can generate hundreds of gigabases of DNA and RNA sequencing data in a week for less than US$5,000. The astonishing rate of data generation by these low-cost, high-throughput technologies in genomics is being matched by that of other technologies, such as real-time imaging and mass spectrometry-based flow cytometry. Success in the life sciences will depend on our ability to properly interpret the large-scale, high-dimensional data sets that are generated by these technologies, which in turn requires us to adopt advances in informatics. Here we discuss how we can master the different types of computational environments that exist - such as cloud and heterogeneous computing - to successfully tackle our big data problems.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A survey on trust management for Internet of Things

                Bookmark

                Author and article information

                Journal
                Cognitive Computation
                Cogn Comput
                Springer Nature
                1866-9956
                1866-9964
                October 2018
                April 2 2018
                October 2018
                : 10
                : 5
                : 864-873
                Article
                10.1007/s12559-018-9543-3
                © 2018

                Comments

                Comment on this article