pDCS: Security and Privacy Support for Data-Centric Sensor Networks

Shao, Min; Zhu, Sencun; Zhang, Wensheng; Cao, Guohong

doi:10.1109/infcom.2007.154

Cited by 70 publications

(52 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Common application scenario for BFs are networking protocols. In particular, several protocols use them to perform message authentication [41] and node authentication [37] efficiently. Anonymous data transmission and anonymous route discovery was proposed in [9], while in [32] the authors introduced a system that uses BFs to prevent user movements detection based on to the tracking of RFID (Radio Frequency Identification) tags.…”

Section: Bloom Filtersmentioning

confidence: 99%

Location privacy without mutual trust: The spatial Bloom filter

Calderoni

Palmieri

Maio

2015

Computer Communications

View full text Add to dashboard Cite

Access to the full text of the published version may require a subscription. Rights AbstractLocation-aware applications are one of the biggest innovations brought by the smartphone era, and are effectively changing our everyday lives. But we are only starting to grasp the privacy risks associated with constant tracking of our whereabouts. In order to continue using location-based services in the future without compromising our privacy and security, we need new, privacy-friendly applications and protocols. In this paper, we propose a new compact data structure based on Bloom filters, designed to store location information. The Spatial Bloom Filter (SBF), as we call it, is designed with privacy in mind, and we prove it by presenting two private positioning protocols based on the new primitive. The protocols keep the user's exact position private, but allow the provider of the service to learn when the user is close to specific points of interest, or inside predefined areas. At the same time, the points and areas of interest remain oblivious to the user. The two proposed protocols are aimed at different scenarios: a two-party setting, in which communication happens directly between the user and the service provider, and a three-party setting, in which the service provider outsources to a third party the communication with the user. A detailed evaluation of the efficiency and security of our solution shows that privacy can be achieved with minimal computational and communication overhead. The potential of spatial Bloom filters in terms of generality, security and compactness makes them ready for deployment, and may open the way for privacy preserving location-aware applications.

show abstract

Section: Bloom Filtersmentioning

confidence: 99%

Location privacy without mutual trust: The spatial Bloom filter

Calderoni

Palmieri

Maio

2015

Computer Communications

View full text Add to dashboard Cite

show abstract

“…[2] developed schemes for resilient datacentric storage from the viewpoint of energy savings and scalability in sensor networks. Whereas the security and privacy concerns in data-centric storage are addressed in [3]. Most of these current work only deals with static wireless networks.…”

Section: Related Workmentioning

confidence: 99%

“…In datacentric storage, data is stored by attributes or types (e.g., geographic location and event type) at nodes within the network [1]- [3]. Queries for data with a particular attribute will be sent directly to the relevant node(s) instead of performing flooding throughout the network, thereby datacentric storage enables efficient data dissemination/access.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of near likely nodes in data-centric mobile wireless networks

Chen

Wang

Zheng

et al. 2009

MILCOM 2009 - 2009 IEEE Military Communications Conference

View full text Add to dashboard Cite

show abstract

“…In [15], the authors describe a privacy enhanced datacentric sensor network that allows sensor data with the same "name" to be stored in the same location so that queries for data of a particular name can be sent directly to the storing nodes using geographical routing protocols. In their design, a certain geographical area is divided into different cells.…”

Section: Introductionmentioning

confidence: 99%

Secure data retrieval system (SEDAR) for DTNs

Chuah

Metgzer

2008

MILCOM 2008 - 2008 IEEE Military Communications Conference

View full text Add to dashboard Cite

Abstract-Disruption tolerant networking (DTN) technology is designed to deal with the intermittent connectivity among mobile nodes due to mobility, short range radios or terrain obstacles. We have recently evaluated the performance of two information retrieval schemes that are designed to work in the DTN environments. Our schemes utilize both query and data replications to enhance the query success rate. Besides designing efficient query and data dissemination schemes, one needs to consider the security aspects since sensitive data should only be accessed by authorized personnel. In this paper, we present a data-centric security solution for an information retrieval system which we design for DTN environments. We also describe the preliminary prototype that we have built.

show abstract

pDCS: Security and Privacy Support for Data-Centric Sensor Networks

Cited by 70 publications

References 21 publications

Location privacy without mutual trust: The spatial Bloom filter

Location privacy without mutual trust: The spatial Bloom filter

Prediction of near likely nodes in data-centric mobile wireless networks

Secure data retrieval system (SEDAR) for DTNs

Contact Info

Product

Resources

About