Open AccessAn Efficient Fine Grained Keyword Based Search Scheme in Fog Computing
Author(s) -
PVN Rajeswari*,
Chadalawada Lakshmi Janaki
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e5095.018520
Subject(s) - computer science , encryption , ciphertext , cloud computing , scheme (mathematics) , symmetric key algorithm , asset (computer security) , cipher , cryptography , computer security , computer network , public key cryptography , operating system , mathematical analysis , mathematics
In fog computing outsources the encoded information to many mist hubs on the border of the internet of things (IOT) to reduce delay and network congestion. However, the existing cipher text recovery plan infrequently focus on the fog computing area and most of them still enforce high computational and capacity burden on asset constrained clients.In this writing paper, we tend to better recommended a lightweight small-grained cipher texts search (LFGS) framework in fog calculation by extending cipher text-policy attribute-based encryption (CP-ABE) and searchable encryption (SE) technologies, which can accomplish small-grained fingerprint plus key-word search concurrently. The LFGS can transfer semi calculation and storage burden from clients to picked fog nodes. Furthermore, the fundamental LFGS framework is enhanced to cope with conjunctive keyword search and attribute revise to keep away from returning unrelated search outcomes and unauthorized accesses.