23-06-2012, 02:32 PM
Personal Information Protection Algorithm of SNS focused in Google plus and Facebook
Personal Information Protection.pdf (Size: 328.95 KB / Downloads: 59)
INTRODUCTION
LEDs (light-emitting diodes) lighting can be represented
closer t o t he n atural c olor. So L ED l ighting i s n ice t ool for
expression of human emotion and feeling. Every person should
change feeling at every day or every moment. LED lighting
can also radiate natural colors at every moment. This article has
been investigated by focusing on this point (Match with depth
of human emotion and subtle LED).
For this reason, inorganic semiconductor light-emitting
diodes (LEDs) are environmentally benign and have already
found widespread use as indicator lights, large-area displays,
and signage applications [1]. In addition, LEDs are very
promising candidates for future energy-saving light sources
suitable for office and home lighting applications. Today, the
entire visible spectrum can be covered by light-emitting
semiconductors [1].
Any combination of tri-color LED, especially by the natural
colors, have a characteristic advantages rather than other
lighting.
RELATED WORKS
If information technology is better theorized and
incorporated into the central social science theories that guide
thinking about how government works, researchers will
possess more powerful tools for explanation and prediction [2].
The following technologies are also available for SNS in
Google plus and Facebook:
First, there is the micro-grid technology and clouding
platform. With this diversification of distribution systems,
distributed generators used in existing systems can be
subdivided into smaller units, called micro-grids [3]. The
application of smart grid technology has turned the Micro-Grid
into a system that can digitize in real-time all the processes of
power generation, distribution and demand chain [4].
GOOGLE PLUS AND FACEBOOK
The diagram shown in Figure 1 provides a visualization of
the theoretical model that guided data collection and analysis
for this study [9]. The independent variables are internet
privacy concern, trust in the social networking site, and trust in
other members of social networking sites. How do they relate
to the outcomes being measured with respect to the use of
social networking sites, specifically information sharing and
development of new relationships? [9]
CONCLUSION
The existing network and the mobile environment have
different characteristics. In a network environment, mobile
computing, processing of encryption technology must deliver
lightweight. At the same time should improve the efficiency of
the network. In particular, there is a need for optimization in
battery use.
Optimized to encryption algorithms to design will require a
complex research process. So when you apply the propertybased
encryption technology, personalized social networking
service is efficient.
To protect privacy, the study is based on trust model began.
And property-based privacy protection, the idea gained from
the proposed research. On a mobile Web experience that is
optimized for attribute-based encryption technology that is
proposed to apply.