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Abstract
Sensor networks
enable real-time gathering of large amounts of data that can be mined and
analyzed for taking critical actions. As such, sensor networks are a key
component of decision-making infrastructures. A critical issue in this
context is the trustworthiness of the data being collected. Data integrity
and quality decide the trustworthiness of data. Data integrity can be
undermined not only because of errors by users, measurement devices and
applications, but also because of malicious subjects who may inject
inaccurate data with the goal of deceiving the data users. A fundamental
tradeoff exists between data quality and the cost to gather and protect this data,
e.g., in terms of sensor node energy. This project focuses on a multi-faceted
solution to the problem of assessing integrity of data streams in sensor
networks, taking into account cost and energy constraints. Key elements of
the solution are: (a) a cyclic framework supporting the assessment of sensor
data trustworthiness based on provenance, and sensor trustworthiness based on
data that sensors provide; (b) strategies for continuously updating trust
scores of sensor data and nodes; (c) a game-theoretic model to analyze and
mitigate the risks due to active adversaries that try to undermine data
integrity; (d) protocols for sensor network sleep/wake scheduling and routing
that balance the data quality and energy efficiency tradeoff. The project
also includes the development of tools for assessing data trustworthiness,
and experimental evaluation of the system performance. The research has
impact on healthcare, homeland security, and applications in several other
domains.
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Related Publications
Zhou Y and Kantarcioglu M. Adversarial Learning with Bayesian
Hierarchical Mixtures of Experts. SIAM Data Mining 2014. Pdf
Kuzu M, Islam M S, Kantarcioglu
M. “Efficient privacy-aware search over encrypted databases”. ACM CODASPY
2014. Pdf
Kuzu M, Islam M S, Kantarcioglu
M. “Inference attack against encrypted range queries on outsourced
databases”. ACM CODASPY 2014. Pdf
Rachapalli J, Khadilkar V, Kantarcioglu M, Thuraisingham
B. “Towards fine grained RDF access control”. ACM SACMAT 2014. Pdf
Islam M S , Nix R, Kantarcioglu M. “A game
theoretic approach for adversarial pipeline monitoring using Wireless Sensor
Networks”. IEEE IRI Conference. Las Vegas, NV. Pdf
Shastry A, Kantarcioglu
M, Zhou Y, Thuraisingham B. “Randomizing Smartphone
Malware Profiles against Statistical Mining Techniques”. IFIP DBSEC. Paris,
France. Pdf
Zhou Y, Kantarcioglu M, Thuraisingham
B. “Self-Training with Selection-by-Rejection”. IEEE ICDM. Brussels, Belgium. Pdf
Cadenhead, T; Kantarcioglu,
M; Thuraisingham, B. "Scalable and Efficient
Reasoning for Enforcing Role-Based Access Control," in 24th Annual
Conference on Data and Applications Security and Privacy.,
v.6166, 2010, p. 209-224. Pdf
Kantarcioglu, Murat Bensoussan,
Alain Hoe, SingRu(Celine). "When Do Firms Invest in Privacy-Preserving
Technologies?", 06/01/2010-05/31/2011,
"Decision and Game Theory for Security", 2010, "Lecture Notes
in Computer Science, 2010, Volume 6442/2010, 72-86". Pdf
Kantarcioglu, M.; Nix, R. "Incentive
Compatible Distributed Data Mining", 06/01/2010-05/31/2011, "2010
IEEE Second International Conference on Social Computing (SocialCom)",
2010, "vol., no., pp.735-742, 20-22". Pdf
Mustafa Canim, Murat Kantarcioglu,
Bijit Hore, and Sharad Mehrotra. "Building
disclosure risk aware query optimizers for relational databases",
06/01/2010-05/31/2011, 2010, "Proc. VLDB Endow. 3, 1-2 (September 2010),
13-24.". Pdf
Hyo Sang Lim, Gabriel Ghinita,
Elisa Bertino, Murat Kantarcioglu. "A Game Theoretic Approach for High
Assurance of Data Trustworthiness in Sensor Networks",
06/01/2010-05/31/2011, "IEEE ICDE". Pdf
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