In order to use our Yosnalab shopping services, you need to read carefully about our terms and conditions. If You disagree any part of terms then you cannot access our service.
I agree to pay the rental rate for the period we used the product and in transit and further agrees to promptly return the products at the end of the rental period in the same condition as received.
I will give alert to Yosnalab if my contact information changes.
I also agree to pay for any damages to, or loss of, the rented merchandise occurring during their time of possession or because of loss and or damage of the products. Upon return and inspection if any and all repairs necessary and or accessories missing that were itemized will be charged at our current rates and billed to you.
A full day rental is charged, even for a partial day use. There are absolutely no refunds for early returns.
The products can be used upto 4 weeks only, Cost will be calculated as per day of usage. We are not responsible for the damage of materials or other liability of any kind resulting from the use or malfunction of the equipment. We will not return the initial deposit of money until the product is returned back.
I am responsible for keeping track of my due dates. I understand that any notices sent out by Yosnalab are a courtesy only and failure to receive them does not excuse me from any charges.
A copy of both sides of their valid institution identification card need to be present. Depositing the money can be done only in the form of cash, not through credit/debit cards.
If you have questions or suggestions, please contact us.
Data mining applications have obtained massive growth in today's internet era. It eventually leads to a serious threat to the security of individuals personal and sensitive information. Raw data of millions of users are collected by the service providers through data contributors and they are shared with the data consumers. Existing systems use Privacy-Preserving data mining(PPDM) which modifies the data without compromising the security of the sensitive information contained in the data. we have proposed a new technique called Truthfulness Preserving Data Mining (TPDM) which is structured as encrypt-then-sign fashion. It uses partial homomorphic encryption and identity-based signature that provides batch-verification and data confidentiality.
Why: Problem statement
Data mining applications have obtained massive growth in today internet era. It eventually leads to a serious threat to the security of an individual's personal and sensitive information.
How: Solution description
The main aim of this project to provide an effective survey that guarantees data truthfulness and privacy preservation. The growth of the internet leads to sharing sensitive information with millions of people. Service providers give full authorities to all the data Issued by the d party called service providers.
A Hash tree or Merkle tree data structure is a tree in which every leaf node is labeled with the hash of a data block for Data verification, Synchronization, and Capital markets
In the data structure, the hash tree is known as the Merkle tree data structure.
How is it different from competition
In TPDM, the data contributors have to truthfully submit their data, but cannot impersonate others. Besides, the service provider is enforced to truthfully collect and process data. The proposed execution implemented by the Merkle tree algorithm or merkle tree data structure with the same procedure followed in the TPDM process.
Who are your customers
Common peoples can use this project for security purposes.
Project Phases and Schedule
Contributors Product Data & Pseudo Identity Creation.