Privacy-Preserving Smart Similarity Search Based on Simhash over Encrypted Data in Cloud Computing

• DOI: 10.6138/jit.2015.16.3.20140918
• Publication Date: 2015-05-01
• Authors: Zhangjie Fu; Jiangang Shu; Jin Wang; Yuling Liu; Sung‐Young Lee
• Keywords: Similarity (geometry)

In recent years, due to the appealing features of cloud computing, more and sensitive or private information has been outsourced onto cloud. Although computing provides convenience, privacy security data becomes a big concern. For protecting privacy, it is desirable for owner outsource in encrypted form rather than plain text. However, storage will hinder our legal access, e.g., searching function. To deal with this dilemma, considerable number searchable encryption schemes have proposed field. almost all existing focus on keyword-based query document-based query, which crucial requirement real world application. paper, we propose similarity search method document based simhash. Through scheme, users can find similar documents stored by submitting document. order scale well large sources, build triebased index improve efficiency solution. rigorous analysis experiment realworld dataset, scheme secure efficient.