ABKS-PBM: Attribute-Based Keyword Search With Partial Bilinear Map

The way services offered by cloud computing gets its unprecedented and undisputed popularity, so security concerns. Among them the storage as service model (SaaS) is of forefront these SaaS liberates individuals enterprises from management IT infrastructure data centers to concentrate on their core business. Because untrusted out-of-premise architecture users are reluctant outsource personal important data. Encryption before outsourcing addresses some issues but at same time strips useful operation such sharing searching. Now address this issue, combination keyword based searchable encryption (KSE) attribute-based (ABE) leads an searching (ABKS). resultant combined concept capable fine-grained search in multi-owner/multi-user (M/M) setting. However, underlying costly pairing complex secret mechanism ABE makes it unsuitable practical application for resource-limited devices. On top it, most existing ABKS schemes size key associated linearly expands number attributes. This paper aims presenting a novel scheme with pairing-free access verification constant AND gate structure ciphertext-policy (CP) framework. proposed work reduced standard Decisional Diffie-Hellmen (DDH) assumption, also collision free error tolerant. Finally, performance evaluation experimental results shows that improved overall efficiency communication overhead.