k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
k-anonymous message transmission
Proceedings of the 10th ACM conference on Computer and communications security
Source-location privacy in energy-constrained sensor network routing
Proceedings of the 2nd ACM workshop on Security of ad hoc and sensor networks
Enhancing Source-Location Privacy in Sensor Network Routing
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
A Study of the Energy Consumption Characteristics of Cryptographic Algorithms and Security Protocols
IEEE Transactions on Mobile Computing
Towards event source unobservability with minimum network traffic in sensor networks
WiSec '08 Proceedings of the first ACM conference on Wireless network security
Source location privacy against laptop-class attacks in sensor networks
Proceedings of the 4th international conference on Security and privacy in communication netowrks
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
Preserving source location privacy in monitoring-based wreless sensor networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Using data aggregation to prevent traffic analysis in wireless sensor networks
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
Location privacy and resilience in wireless sensor networks querying
Computer Communications
Time warp: how time affects privacy in LBSs
ICICS'10 Proceedings of the 12th international conference on Information and communications security
Preserving query privacy in urban sensing systems
ICDCN'12 Proceedings of the 13th international conference on Distributed Computing and Networking
| Hi-index | 0.00 |
The open nature of communications in Wireless Sensor Networks (WSNs) makes it easy for an adversary to trace all the communications within the network. If techniques such as encryption may be employed to protect data privacy (i.e. the content of a message), countermeasures to deceive context privacy (e.g. the source of a message) are much less straightforward. In recent years, the research community addressed the problem of context privacy. Some work aimed to hide the position of the collecting node. Other work investigated on hiding the position of an event--sensed by the WSN. However, the solutions proposed for events hiding either: (i) considered only static events; (ii) are not efficient. In this work, we describe open issues that we identified in the current research. In particular, we consider the problem of efficiently hiding mobile events.