• Akash Karkhile
• Nayan Mote
• Sumit Kulkarni
• Samadhan Dhanave,
• Prof.Nitin Shivale

Ciphertext-Policy Attribute-Based Keyword Search (CP-ABKS) facilitates search queries and supports fine-grained access management over encrypted knowledge within the cloud. However, previous CP-ABKS schemes were designed to support single multi-owner setting, and can't be directly applied within the shared multi-owner setting (where every record is commissioned by a set variety of information owners), while not acquisition high process and storage prices. Additionally, thanks to privacy issues on access policies, most existing schemes square measure susceptible to off-line keyword-guessing attacks if the keyword house is of polynomial size. what is more, it's tough to spot malicious users United Nations agency leak the key keys once quite one knowledge user has a similar set of attributes. during this paper, we tend to gift a privacy-preserving CP-ABKS system with hidden access policy in Shared Multi-owner setting (basic ABKS-SM system), and demonstrate however it's improved to support malicious user tracing (modified ABKS-SM system). we tend to then prove that the projected ABKS-SM systems bring home the bacon selective security and resist off-line keyword-guessing attack within the generic additive cluster model. we tend to conjointly appraise their performance mistreatment real-world datasets

Ciphertext-policy attribute-based encryption, shared multi-owner setting, hidden access policy, user tracing, Time Server, Ranking

"Privacy-Preserving Attribute-Based Keyword Search in Shared Multi-owner Setting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.f758-f762, June-2021, Available :http://www.jetir.org/papers/JETIR2106806.pdf

"Privacy-Preserving Attribute-Based Keyword Search in Shared Multi-owner Setting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppf758-f762, June-2021, Available at : http://www.jetir.org/papers/JETIR2106806.pdf