Abstract

The huge technological progress we have witnessed in the last decade has enabled us to generate data at an unprecedented rate, leading to what has become the era of big data. However, big data is not just about generating, storing, and retrieving massive amounts of data. The focus should rather be on new analytical approaches that would enable us to extract actionable intelligence from this ocean of data. From a security standpoint, one of the main issues that need to be addressed is the trustworthiness of each source or piece of information. In this paper, we propose an approach to assess and quantify the trust level of both information sources and information items. Our approach leverages the vast literature on citation ranking, and we clearly show the benefits of adapting citation ranking mechanisms to this new domain, both in terms of scalability and in terms of quality of the results.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Amato, F., Mazzeo, A., Moscato, V., Picariello, A.: Semantic management of multimedia documents for e-government activity. In: International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2009), pp. 1193–1198 (2009)Google Scholar
  2. 2.
    Arrow, K.J.: Social Choice and Individual Values. John Wiley & Sons (1963)Google Scholar
  3. 3.
    Bapat, R.B., Raghavan, T.E.S.: Nonnegative Matrices and Applications. Encyclopedia of Mathematics and its Applications, vol. 64. Cambridge University Press (1997)Google Scholar
  4. 4.
    Eldén, L.: Matrix Methods in Data Mining and Pattern Recognition. Fundamentals of Algorithms, vol. 4. Society for Industrial and Applied Mathematics (2007)Google Scholar
  5. 5.
    Google Official Blog: We knew the web was big... (July 2008), http://googleblog.blogspot.com/2008/07/we-knew-web-was-big.html
  6. 6.
    Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: Bringing order to the web. Technical Report 1999-66, Stanford InfoLab (1999)Google Scholar
  7. 7.
    Resnick, P., Kuwabara, K., Zeckhauser, R., Friedman, E.: Reputation systems. Communications of the ACM 43(12), 45–48 (2000)CrossRefGoogle Scholar
  8. 8.
    Resnick, P., Zeckhauser, R.: Trust Among Strangers in Internet Transactions: Empirical Analysis of eBay’s Reputation System. In: The Economics of the Internet and E-commerce, Advances in Applied Microeconomics, vol. 11, pp. 127–157. Emerald Group Publishing (2002)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Massimiliano Albanese
    • 1
  1. 1.George Mason UniversityFairfaxUSA

Personalised recommendations