• Sulthana ASR
• Dr K Juliana Gnanaselvi

Cloud data storage outsourcing has emerged as a service that can facilitate data owners (DOs) to store their data remotely. However, data storage security and integrity remains challenging due to lack of control and physical possession over the data by the DOs. On the other hand, all of the existing cloud storage auditing schemes with deduplication are vulnerable to brute-force dictionary attacks and content guessing attack well, which incurs the leakage of user privacy. In this work, focused on a new aspect of being against brute-force dictionary attacks on cloud storage auditing based on Strong Privacy Protection and Recovery through Progressive Lightweight Deduplication and Auditing Method (SPRPLDA). Also this research work propose the efficient recovery technique for recovering the deleted based on Hybridization of particle swarm optimization (PSO) and artificial bee colony (ABC) approaches, based on recombination procedure (HPSOABC) which is more competitive optimization approach. In addition to that a novel SPRPLDA method is designed to generate the file index for duplicate check, data recovery using and use a new Enriched Dual Integrity Convergent Encryption (EDICE) to generate the key for file encryption with hash and offset value. Finally, the Date Owner only needs to perform progressive lightweight computation to generate data authenticators, verify cloud data integrity, and retrieve the file from the cloud.

Cloud computing, Security, Data storage, Integrity, Deduplication, Auditing, Recovery, EDICE, Artificial bee colony, Particle swarm optimization and Recombination procedure

"Supporting Strong Privacy Protection and Recovery through Progressive Lightweight Deduplication and Auditing Method for secure data storage in cloud environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f660-f670, November-2024, Available :http://www.jetir.org/papers/JETIR2411577.pdf

"Supporting Strong Privacy Protection and Recovery through Progressive Lightweight Deduplication and Auditing Method for secure data storage in cloud environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppf660-f670, November-2024, Available at : http://www.jetir.org/papers/JETIR2411577.pdf