Add to ORKGAbstract: Wireless sensor technology may be envisioned as the promising substitute of traditional collaborative distributed schemes, especially for monitoring applications. However, the widespread adoption of such technol-ogy is being slowed down because of growing security concerns, specially critical in stationary sensor topologies which create new threats to the privacy of individuals and organizations. As a countermeasure against source ob-servability and traceability, several source–location privacy solutions have been presented so far. The goal of this paper is twofold. We present an experimental comparison of the energy consumption of existing strategies (i.e. Flooding, Phantom and Fake Routing) as well as proposing a novel energy–aw...
Various sensor network security schemes care for the content of messages, while the related informat...
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such...
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such...
Source location privacy is becoming an increasingly important property of some wireless sensor netwo...
Wireless Sensor Networks (WSNs) are collections of small computing devices that are used to monitor ...
Wireless Sensor Network (WSN) is infrastructure- less. This is mainly used for target monitoring, ta...
As interest in using Wireless Sensor Networks (WSNs) for deployments in scenarios such as asset moni...
Source location privacy is becoming an increasingly important property in wireless sensor network ap...
Abstract—Providing source location privacy has become a relevant issue for protocols used in the con...
As interest in using Wireless Sensor Networks (WSNs) for deployments in scenarios such as asset moni...
As wireless sensor networks (WSNs) have been applied across a spectrum of application domains, the p...
AbstractWireless sensor networks (WSNs) consist of numbers of small nodes that can sense, collect, a...
Location privacy measures need to be developed to prevent the opponent from determining the physical...
Wireless sensor networks (WSNs) allows the world to use a technology for event supervision for seve...
Source location privacy is becoming an increasingly important property in wireless sensor network ap...
Various sensor network security schemes care for the content of messages, while the related informat...
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such...
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such...
Source location privacy is becoming an increasingly important property of some wireless sensor netwo...
Wireless Sensor Networks (WSNs) are collections of small computing devices that are used to monitor ...
Wireless Sensor Network (WSN) is infrastructure- less. This is mainly used for target monitoring, ta...
As interest in using Wireless Sensor Networks (WSNs) for deployments in scenarios such as asset moni...
Source location privacy is becoming an increasingly important property in wireless sensor network ap...
Abstract—Providing source location privacy has become a relevant issue for protocols used in the con...
As interest in using Wireless Sensor Networks (WSNs) for deployments in scenarios such as asset moni...
As wireless sensor networks (WSNs) have been applied across a spectrum of application domains, the p...
AbstractWireless sensor networks (WSNs) consist of numbers of small nodes that can sense, collect, a...
Location privacy measures need to be developed to prevent the opponent from determining the physical...
Wireless sensor networks (WSNs) allows the world to use a technology for event supervision for seve...
Source location privacy is becoming an increasingly important property in wireless sensor network ap...
Various sensor network security schemes care for the content of messages, while the related informat...
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such...
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such...