A Quantitative Model of the Security Intrusion Process Based on Attacker Behavior
IEEE Transactions on Software Engineering
SPINS: security protocols for sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Machine Learning
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Denial of Service in Sensor Networks
Computer
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Secure sensor networks for perimeter protection
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
SIA: secure information aggregation in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Resilient aggregation in sensor networks
Proceedings of the 2nd ACM workshop on Security of ad hoc and sensor networks
An Adaptive Learning Approach for Noisy Data Streams
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Computer security strength and risk: a quantitative approach
Computer security strength and risk: a quantitative approach
Exploiting Correlated Attributes in Acquisitional Query Processing
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Privacy-aware location sensor networks
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Beyond average: toward sophisticated sensing with queries
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
RANBAR: RANSAC-based resilient aggregation in sensor networks
Proceedings of the fourth ACM workshop on Security of ad hoc and sensor networks
Challenges and opportunities in deeply embedded systems security
ACM SIGBED Review - Special issue on the RTSS forum on deeply embedded real-time computing
Secure hierarchical data aggregation in wireless sensor networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Query privacy in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
SAFECOMP'12 Proceedings of the 2012 international conference on Computer Safety, Reliability, and Security
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With respect to security, sensor networks have a number of considerations that separate them from traditional distributed systems. First, sensor devices are typically vulnerable to physical compromise. Second, they have significant power and processing constraints. Third, the most critical security issue is protecting the (statistically derived) aggregate output of the system, even if individual nodes may be compromised. We suggest that these considerations merit a rethinking of traditional security techniques: rather than depending on the resilience of cryptographic techniques, in this paper we develop new techniques to tolerate compromised nodes and to even mislead an adversary. We present our initial work on probabilistically quantifying the security of sensor network protocols, with respect to sensor data distributions and network topologies. Beginning with a taxonomy of attacks based on an adversary's goals, we focus on how to evaluate the vulnerability of sensor network protocols to eavesdropping. Different topologies and aggregation functions provide different probabilistic guarantees about system security, and make different trade-offs in power and accuracy.