This document presents a personal privacy data protection scheme integrating high-dimensional attribute-based encryption (ABE) and blockchain to enhance security, efficiency, and revocation mechanisms for private data. It details the development of three components: a fast message encryption method, an attribute revocation system utilizing smart contracts, and a blockchain-based model for secure data sharing. The proposed scheme addresses issues like high computational overhead and security vulnerabilities in existing systems, offering improved performance and user control over private data.

1. Base paper Title: A Personal Privacy Data Protection Scheme for Encryption and Revocation
of High-Dimensional Attribute Domains
Modified Title: An Encryption and Revocation Scheme for Personal Privacy Data Protection
for High-Dimensional Attribute Domains
Abstract
With the frequent occurrence of private data breaches, it is now more necessary than
ever to address how to protect private data. The combination of Ciphertext-Policy Attribute-
Based Encryption (CP-ABE) and blockchain typically enables secure storage and sharing of
data. However, in highdimensional attribute domains, that is, the number of attributes is large,
these schemes have issues such as low security of data protection, high computational
overhead, and high cost of attribute revocation. This paper proposes a personal privacy data
protection scheme for encryption and revocation of high-dimensional attribute domains to
address these issues. The proposed scheme is made up of three components. Firstly, Fast High-
dimensional Attribute Domain-based Message Encryption (HAD-FME) is proposed to
improve data security and reduce computational cost. Secondly, an Attribute Revocation
Mechanism Based on Sentry Mode (SM-ARM) is designed in combination with smart
contracts. Lastly, a Blockchain-based Model for Personal Privacy Data Protection (BC-PPDP)
is proposed by integrating HAD-FME with SM-ARM. The security analysis results show that
HAD-FME proposed in this paper is secure under the DLIN assumption, and the attribute
revocation satisfies both forward and backward security. Experiments show that HADFME has
higher computational efficiency than existing schemes in the high-dimensional attribute
domains, SM-ARM has lower revocation cost than existing attribute revocation mechanisms,
and smart contracts and blockchain work well.
Existing System
The rapid development of technologies such as cloud computing and the Internet of
Things (IoT) has led to the generation of a large amount of personal data worldwide.
Enterprises continuously collect and analyze these personal data, providing them with
professional services and generating significant economic benefits, enabling users and
enterprises to gain huge profits from the information society. Unfortunately, in recent years,
enterprises’ lack of data protection measures, such as storing data in plaintext on their

2. centralized servers, has led to an increasing number of personal dataleakage incidents.
Therefore, sharing and storing private data in a secure manner is critical. Blockchain, as a
decentralised ledger database, due to its characteristics of decentralization and difficulty in
tampering with data, can provide a trust worthy data storage and sharing environment.
Currently, many researchers have used blockchain in various fields, including data storage, the
Internet of Things, healthcare, transactions, and payments. At the same time, many scholars
have done a lot of research on tamper-resistance ledger databases. However, if the data owner
explicitly stores information related to private data on the blockchain, any user can access the
data information. This may result in the data owner losing control over personal data.
Ciphertext-PolicyAttribute-Based Encryption (CP-ABE) was proposed as a solution by
Bethencourt. In CP-ABE, the data owner can choose the ciphertext access method, in which
the access policy is included in the ciphertext and the user attribute set is embedded in the key.
Drawback in Existing System
 Complexity and Computational Overhead: Working with high-dimensional attribute
domains often requires complex algorithms and computations, leading to increased
computational overhead. This complexity might make the system less efficient and
resource-intensive.
 Key Management: Encryption schemes often rely on key management, especially in
scenarios involving revocation. Managing keys for high-dimensional attributes can
become cumbersome and challenging, potentially leading to security vulnerabilities if
not handled properly.
 Scalability: As the number of attributes and dimensions increases, the scalability of the
system might become a concern. Handling a large number of attributes could impact
performance and the overall efficiency of the system.
 User Experience: Complex encryption and revocation mechanisms might affect user
experience. Complicated processes could confuse users and discourage them from
using the system effectively.
Proposed System

3.  Attribute-based Encryption (ABE): Utilize ABE to encrypt data based on multiple
attributes. Leverage ciphertext-policy ABE or key-policy ABE to enable access control
based on specific attribute combinations.
 Homomorphic Encryption: Implement homomorphic encryption techniques to
perform computations on encrypted data, allowing for secure processing without
decrypting sensitive information.
 Key Management System: Develop a robust key management system to generate,
store, and distribute keys securely. This system should support efficient key revocation
and update mechanisms.
 Dynamic Attribute Revocation: Enable dynamic revocation of attributes or attribute
combinations without compromising the entire encryption scheme.
Algorithm
 Encrypt data using a combination of attributes. Use ABE techniques (like ciphertext-
policy or key-policy) to allow access based on specific attribute combinations.
 Perform decryption based on the attributes possessed by the user's private key and the
attributes associated with the encrypted data.
 Verify user attributes against the access policies associated with the data to ensure the
user has the required attributes for decryption.
Advantages
 Enhanced Data Privacy: The scheme allows for granular control over access to
sensitive information, ensuring that only users with specific attributes or attribute
combinations can decrypt and access the data.
 Fine-Grained Access Control: It enables fine-grained access control, ensuring that
users only gain access to the attributes they are authorized to view or modify, enhancing
overall data security.
 Reduced Security Risks: Advanced encryption techniques significantly reduce the
risk of unauthorized access or data breaches, as sensitive data remains encrypted and
inaccessible to unauthorized users.
Software Specification

4.  Processor : I3 core processor
 Ram : 4 GB
 Hard disk : 500 GB
Software Specification
 Operating System : Windows 10 /11
 Frond End : Python
 Back End : Mysql Server
 IDE Tools : Pycharm