Designing Cloaking Wall Model With Leakage- Suppressed and Lightweight Access Control for Cloud

Cloud computing has transformed how organizations operate by providing easy, on-demand access to resources.However, sharing data across organizations remains challenging because all parties must agree on data processing methods and purposes.Data protection is a primary concern, as organizations must trust each other to comply with agreements and regulations due to a lack of transparency.Data stored in the cloud is highly confidential and requires robust protection measures.This project focuses on developing the Cloaking Wall Model for cloud storage, which safeguards access patterns of stored data through methods such as Long-Term Cloaking, Multi-Region based Cloaking, Time-based Cloaking, and Geolocation-based Cloaking.A typical cloaking scheme distinguishes between genuine data users and bots, providing legitimate content to users and disguised content to bots.The Camouflage Data Disguise technique integrates Chaffing and Winnowing with the ChaCha20 encryption algorithm to deliver deceptive data to unauthorized users or bots.This approach ensures that only the intended targets receive malicious content.Collectively, these methods enhance data security by ensuring continuous confidentiality, global consistency, timed access control, and location-sensitive protection.Additionally, the proposed scheme streamlines certificate and key management, reducing workload and system complexity, thus offering a robust solution for secure and privacy-preserving cloud data access.