Using Adaptive Privacy Policy Prediction (A3P) for improved Privacy of User Data and Images on Content Sharing

Abstract

A number of researchers have studied the social uses and privacy issues of online photo sharing or content sharing sites , but less have explored the privacy issues of photo sharing in social networks. Users of social-networking services share abundant information with numerous “friends.” This improved technology causes to privacy violation where the users are sharing the enormous volumes of images across more number of peoples. This privacy need to be taken care in order to make better the user satisfaction level. Adaptive Privacy Policy Prediction (A3P) system to help users compose privacy settings for their images. Social networking sites such as Facebook, LinkedIn,etc give opportunities to share large amount of personal information. People upload their photos to these sites to gain public attention for social purposes, and thus many public consumer photographs are available online. The proliferation of personal data leads to privacy violation .Risks such as identify theft, embarrassment, and blackmail are faced by user’s .In order to overcome these risks flexible privacy mechanisms need to be considered. The main aim of this survey is to provide a review on different privacy policy approaches to enhance the security of personal information shared in the online social networking sites.

Authors and Affiliations

P. Harika| Lecturer, Dept. of Computer Science, Sri Durga Malleswara Siddhartha Mahila kalasala, Vijayawada, A.P., India, Addanki Kavitha| Lecturer, Dept of Computer Science, P.B.Siddhartha College of Arts and Science, Vijayawada , A.P., India

Keywords

Related Articles

Carbon Nanotube based approach on FETs using Ternary Comparator

A Carbon Nanotube Field Effect Transistor (CNFET) is referred to as a FET that utilizes a single Carbon Nanotube or an array of carbon nanotubes as the channel material instead of bulk silicon in the traditional MOSF...

A Voltage Oriented Control Method for PV - Grid Interfaced Inverter by Using Advanced MPPT Algorithm

The output power of PV module varies with module temperature, solar irradiation and loads. And in order to quickly and accurately track the sun, it is necessary to track the maximum power point (MPP) all the time. An...

Internet of Things (IoTs): Applications in Home Automation

Over the last decade in the field of science & technology, the internet has made significant impact in our economies & societies by bringing in remarkable communication & networking infrastructure. In continuation wi...

Implementing Secure Authorized Deduplication Technique in Hybrid Cloud

Using the cloud resources optimally, like reducing the amount of storage space and saving bandwidth, is a challenging task. This can be highly achieved by adopting one of the important data compression techniques for...

Multi-Cloud System For Multimedia Content Protection

Complete multi-cloud framework for interactive media content assurance. The framework bolsters different types of interactive media content and can successfully use changing figuring assets. • Novel technique for m...

Download PDF file
  • EP ID EP16809
  • DOI -
  • Views 304
  • Downloads 8

How To Cite

P. Harika, Addanki Kavitha (2016). Using Adaptive Privacy Policy Prediction (A3P) for improved Privacy of User Data and Images on Content Sharing. International Journal of Science Engineering and Advance Technology, 4(10), 555-557. https://europub.co.uk/articles/-A-16809