Privacy and Quality Preserving Multimedia Data Aggregation for Participatory Sensing Systems

Privacy and Quality Preserving Multimedia Data Aggregation for Participatory Sensing Systems

Privacy and Quality Preserving Multimedia Data Aggregation for Participatory Sensing Systems
Privacy and Quality Preserving Multimedia Data Aggregation for Participatory Sensing Systems

ABSTRACT:

With the popularity of mobile wireless devices equipped with various kinds of sensing abilities, a new service paradigm named participatory sensing has emerged to provide users with brand new life experience. However, the wide application of participatory sensing has its own challenges, among which privacy and multimedia data quality preservations are two critical problems. Unfortunately, none of the existing work has fully solved the problem of privacy and quality preserving participatory sensing with multimedia data. In this paper, we propose SLICER, which is the first k-anonymous privacy preserving scheme for participatory sensing with multimedia data. SLICER integrates a data coding technique and message transfer strategies, to achieve strong protection of participants’ privacy, while maintaining high data quality. Specifically, we study two kinds of data transfer strategies, namely transfer on meet up (TMU) and minimal cost transfer (MCT). For MCT, we propose two different but complimentary algorithms, including an approximation algorithm and a heuristic algorithm, subject to different strengths of the requirement. Furthermore, we have implemented SLICER and evaluated its performance using publicly released taxi traces. Our evaluation results show that SLICER achieves high data quality, with low computation and communication overhead.

EXISTING SYSTEM:

In the current state-of-the-art, a number of privacy preserving techniques for participatory sensing systems, especially the location-based services (LBSs), have been proposed by previous researchers, mainly to address the privacy of data source identity, user location, user trajectory, and sensing data content itself. These techniques can be classified into the following four categories.

  1. Randomization Based Techniques
  2. Generalization
  3. Cloaking Techniques
  4. Cryptography Based Solutions

DISADVANTAGES OF EXISTING SYSTEM:

  • Sensing record sent to the service provider, is usually attached with spatio-temporal tags indicating the location and time information of the data collected.
  • Most of existing applications of participatory sensing only collect small pieces of sensing data (e.g., temperature, velocity, and geographic location).
  • Applying existing privacy preserving schemes to participatory sensing with multimedia data is not satisfactory, since existing schemes either induce unacceptable amount of communication cost, or degrade the utility/ quality of the data badly, in case of multimedia sensing.

PROPOSED SYSTEM:

  • In this paper, we present SLICER, which is a coding based k-anonymous privacy preserving scheme, working on application layer, for participatory sensing with multimedia data. Intuitively, k-anonymity means that the service provider cannot identify the contributor of each sensing record from a group of at least k participants.
  • We propose SLICER for participatory sensing with multimedia data, to achieve both k-anonymous privacy preservation and high data quality, with low communication and computation overhead.
  • We design an erasure coding based sensing record coding scheme to encode each sensing record into a number of data slices, each of which can be delivered to the service provider through the other participants or the record’s generator herself. When a proper data slice exchanging strategy is applied, the contributor of each particular sensing record is hidden in a group of at least k participants.
  • We propose two kinds of strategies for slice transfer. The first and straightforward strategy is named Transfer on Meet Up (TMU), which is to transfer a slice upon meeting another participant. The latter delivers the slice to the service provider. The second kind contains two complementary sub-optimal strategies to transfer the slices to a set of participants that might be met within a required period of time, minimizing the total cost while guaranteeing that the sensing record can be delivered to the service provider with guaranteed high probability, which is named Minimal Cost Transfer (MCT). The cost difference can be resulted from the wireless communication fee, available bandwidth, battery power, and so on.
  • We have implemented SLICER and evaluated its performance using publicly released real traces of taxis. Evaluation results show that SLICER achieves high data quality, with low computation and communication overhead.

ADVANTAGES OF PROPOSED SYSTEM:

  • SLICER proposed in this paper is a coding-based k-anonymous privacy preserving scheme for high quality multimedia data aggregation in participatory sensing systems.
  • SLICER integrates a data coding technique and message exchanging strategies, to achieve strong protection of participants’ privacy, while maintaining high data quality and inducing low communication and computation overhead.
  • High data quality, with low communication and computation overhead.

SYSTEM ARCHITECTURE

BLOCK DIAGRAM

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

  • System :         Pentium IV 2.4 GHz.
  • Hard Disk :         40 GB.
  • Floppy Drive : 44 Mb.
  • Monitor : 15 VGA Colour.
  • Mouse :
  • Ram : 512 Mb.

SOFTWARE REQUIREMENTS:

  • Operating system : Windows XP/7/LINUX.
  • Implementation : NS2
  • NS2 Version : 2.28
  • Front End : OTCL (Object Oriented Tool Command Language)
  • Tool : Cygwin (To simulate in Windows OS)

REFERENCE:

Fudong Qiu, Student Member, IEEE, Fan Wu, Member, IEEE, and Guihai Chen, Senior Member, IEEE, “Privacy and Quality Preserving Multimedia Data Aggregation for Participatory Sensing Systems”, IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 14, NO. 6, JUNE 2015.