Sanitizable Access Control Against Malicious Data Publishers

Abstract: The rapid growth of data sharing and exchange in various applications has brought forth significant concerns regarding data privacy and security. Malicious data publishers pose a serious threat to sensitive information, jeopardizing data integrity and confidentiality. To address this issue, this research paper presents a novel framework for "Sanitizable Access Control Against Malicious Data Publishers" that enables data recipients to effectively sanitize and filter data received from untrusted sources.The proposed system leverages cryptographic techniques and access control mechanisms to provide a secure and flexible environment for data sharing. Data encryption and sanitization techniques ensure that sensitive information remains protected even when handled by malicious publishers. Trust management and verification mechanisms authenticate the identities of data publishers and recipients, preventing unauthorized access. The sanitizable access control model is designed to empower data recipients with the ability to dynamically enforce access policies, enabling them to adjust data sanitization levels based on trust evaluations and the intended use of the data. Furthermore, an audit trail mechanism is implemented to track data access, usage, and modifications, ensuring accountability and transparency.

Keywords: Sanitizable Access Control, Malicious Data Publishers, Data Integrity