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1. 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

2. 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).

3.  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 caseof 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.

4.  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

5. maintaining high data quality and inducing low communication and
computation overhead.
 High data quality, with low communication and computation overhead.

6. SYSTEM ARCHITECTURE
BLOCK DIAGRAM

7. SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
 System : Pentium IV 2.4 GHz.
 Hard Disk : 40 GB.
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Colour.
 Mouse : Logitech.
 Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
 Operating system : Windows XP/7/LINUX.
 Implementation : NS2
 NS2 Version : NS2.2.28
 Front End : OTCL (Object Oriented Tool Command
Language)
 Tool : Cygwin (To simulate in Windows OS)

8. 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.