Abstract
With the increased need of data sharing among multiple organizations, such as government organizations, financial corporations, medical hospitals and academic institutions, it is critical to assess and assure data trustworthiness so that effective decisions can be made based on data. In this paper, we first discuss motivations and relevant techniques for data trustworthiness. We then present an architectural framework for a comprehensive system for trustworthiness assurance and discuss relevant recent work. We highlight open research issues and research directions throughout the paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bertino, E.: Protection from Insider Threats. Morgan&Claypool, San Rafael (2012)
Lim, H.S., Moon, Y.-S., Bertino, E.: Provenance-based trustworthiness assessment in sensor networks. In: Proceedings of the 7th International Workshop on Data Management for Sensor Network (DMSN’10). Singapore (2010)
Biba, K.J.: Integrity Considerations for Secure Computer Systems. Technical Report TR-3153, Mitre (1977)
Kamvar, S.D., Schlosser, M.T., Garcia-Molina, H.: The eigentrust algorithm for reputation management in P2P networks. In: Twelfth International World Wide Web Conference, pp. 640–651. ACM (2003)
Clark, D.D., Wilson, D.R.: A comparison of commercial and military computer security policies. In: Proceedings of IEEE Symposium on Security and Privacy Symposium, Oakland (CA) (1987)
Juran, J.M.: Juran on Leadership for Quality—an Executive Handbook. Free Press, New York (1989)
Kahn, B., Strong, D., Wang, R.: Information Quality Benchmarks: Product and Service Performance. Communications of the ACM, vol. 45, pp. 184–192. ACM (2002)
Price, R., Shanks, G.: A semiotic information quality framework. In: IFIP International Conference on Decision Support Systems: Decision Support in an Uncertain and Complex World. Prato (Italy) (2004)
Wand, Y., Wang, R.Y.: Anchoring Data Quality Dimensions in Ontological Foundations. Communications of the ACM, vol. 39, pp. 86–95. ACM (1996)
Batini, C., Scannapieco, M.: Data Quality: Concepts, Methodologies and Techniques. Springer (2006)
Levien, R:. Attack resistant trust metrics. PhD thesis, University of California—Berkeley, CA, USA (2002)
Rezvani, M., Ignjatovic, A., Bertino, E., Jha, S.: Secure data aggregation for wireless sensor networks. IEEE transactions on dependable and secure computing. In press (2014)
Lim, H.S., Ghinita, G., Bertino, E., Kantarcioglu, M.: A game-theoretic approach for high-assurance of data trustworthiness in sensor networks. In Proceedings of IEEE 28th International Conference on Data Engineering (ICDE’12), Washington (DC) (2012)
Rezvani, M., Ignjatovic, A., Bertino, E., Jha, S.: A robust iterative filtering technique for wireless sensor networks in the presence of malicious attacks. poster abstract. In: Proceedings of ACM Sensys’13 Conference. Rome (Italy) (2013)
Mella, G., Ferrari, E., Bertino, E., Koglin, Y.: Controlled and cooperative updates of XML documents in byzantine and failure-prone distributed Systems. ACM Trans. Inf. Syst. Secur. 9, 421–460 (2006)
Wang, C., Hussein, S.R., Bertino, E.: Dictionary based secure provenance compression for wireless sensor networks. IEEE transactions on parallel and distributed systems, in press (2014)
Hussein, S.R., Wang, C., Sultana, S., Bertino, E.: Secure data provenance compression using arithmetic coding in wireless sensor networks. In: Proceedings of 33rd IEEE International Performance Computing and Communications Conference (IPCCC 2014), Phoenix (AZ) in press (2014)
Scannapieco, M., Figotin, I., Bertino, E., Elmagarmid, A.: Privacy preserving schema and data matching. In: ACM SIGMOD International Conference on Management of Data, pp. 653–664 (2007)
Inan, A., Kantarcioglu, M., Bertino, E., Scannapieco, M.: A hybrid approach to private record linkage. In: 24th IEEE International Conference on Data Engineering, pp. 496–505 (2008)
Cao, J., Rao, F.-Y., Bertino, E., Kantarcioglu, M.: A hybrid private record linkage scheme: separating differentially private synopses from matching records. In: Proceedings of IEEE 31st International Conference on Data Engineering (ICDE’15), Seoul Korea in press (2015)
Jackson, M.O.: Social and Economics Networks. Princeton University Press, Princeton (2008)
Acknowledgments
The work reported in this paper has been partially supported by the Purdue Cyber Center and the National Science Foundation under grant CNS-1111512.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Bertino, E. (2015). Data Trustworthiness—Approaches and Research Challenges. In: Garcia-Alfaro, J., et al. Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance. DPM QASA SETOP 2014 2014 2014. Lecture Notes in Computer Science(), vol 8872. Springer, Cham. https://doi.org/10.1007/978-3-319-17016-9_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-17016-9_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17015-2
Online ISBN: 978-3-319-17016-9
eBook Packages: Computer ScienceComputer Science (R0)