A collection of real world data causes very complex data structure. In large scale companies, there will be serious issues in Data storage, Data Management, Data Retrieving. It’s really a hard thing to do the data anonymization in live environment. Data Anonymization is a type of information disinfect whose intention is to protect the data for information loss and it will provide data security. It is also a process of removing the personal identifiable information from data set, so that the people whom the data can be described remains anonymous.
In this paper “We have expressed the association between the different values and different structures in different databases using syntax, e.g. XML values. Its concentrates on the privacy guarantee and the data with very simple data structure. In this paper, we focus on the tree structured data from various applications, even when the structure is not directly applied into the syntax.
This paper defines the km-n anonymity which provides the complete data privacy protection against unique and it’s proposes the greedy cut search GCS algorithm, which is able to disinfect the high level datasets.
Swati.A.Sagar : Bachelor of Engineering (Information Technology), Master of Engineering (Information Technology), Bharati Vidyapeeth College of Engineering for women,Pune-43.
Shaheen Ashraf Mondal : Bachelor of Engineering (Information Technology), Savitribai Phule university Pune, Bharati Vidyapeeth College Of Engineering for women, Pune-43.
Apoorva Seth : Bachelor of Engineering (Information Technology), Savitribai Phule university Pune, Bharati Vidyapeeth College Of Engineering for women, Pune-43.
Roopvati Sanjay Shah : Bachelor of Engineering (Information Technology), Savitribai Phule university Pune, Bharati Vidyapeeth College Of Engineering for women, Pune-43.
Akanksha Anil Deshpande : Bachelor of Engineering (Information Technology), Savitribai Phule university Pune, Bharati Vidyapeeth College Of Engineering for women, Pune-43.
This paper proposes the improvement in the existing system's which were very costly and robust in results. Our proposed work establishes a new approach of developing an android app as an assistive tool for Blind and a fakeness detector tool for normal people. This tool is implemented using Preprocessing techniques for recognition and OCR techniques for serial number extraction which will be compared with the fake serial number series stored in the database (CSV file) for detecting fakeness of the currency note and the Speech synthesizer (TTS) which speaks up the denomination of the different currency notes. Our proposed android application can also be used for different country currency notes by updating the trained database.
