• Vegi Srinivas
• Y. Dinesh Kumar
• K. Sujatha

Cloud storage becomes more and more popular in the recent trend since it provides various benefits over the traditional storage solutions. Along with many benefits provided by cloud storage, many security problems arise in cloud storage which prevents enterprises from migrate their data to cloud storage. These security problems induce the data owners to encrypt all their sensitive data. The encryption approach may have strengthened the data security of cloud data, but it degrades the data efficiency because the encryption reduces the search ability of the data. Many schemes were proposed in recent researches which enable keyword search over encrypted data in cloud computing, and these schemes contain weaknesses which make them impractical when applying these schemes in real life scenarios. Hence, semantic-based keyword search over encrypted cloud data becomes of paramount importance. In this paper, we propose a semantic-based compound keyword search (SCKS) scheme is proposed. SCKS achieves not only semantic-based search but also multi-keyword search and ranked keyword search. Additionally, SCKS also eliminates the predefined global library and can efficiently support data update. The experimental results on real-world dataset indicate that SCKS introduces low overhead on computation and the search accuracy outperforms the existing schemes.

"SEMANTIC COMPOUND KEYWORD SEARCH OVER ENCRYPTED DATA IN CLOUD COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.60-67, December-2018, Available :http://www.jetir.org/papers/JETIR1812B10.pdf

"SEMANTIC COMPOUND KEYWORD SEARCH OVER ENCRYPTED DATA IN CLOUD COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp60-67, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B10.pdf