PTN-18 Abstract: Data Sharing Becomes An Exceptionally Attractive Service Supplied By Cloud Computing Platforms Because Of Its Convenience And Economy

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Abstract: Data sharing becomes an exceptionally attractive service supplied by cloud
computing platforms because of its convenience and economy. As a potential technique for
realizing fine-grained data sharing, attribute-based encryption (ABE) has drawn wide
attentions. However, most of the existing ABE solutions suffer from the disadvantages of high
computation overhead and weak data security, which has severely impeded resourceconstrained
mobile devices to customize the service. The problem of simultaneously
achieving fine-grainedness, high-efficiency on the data owner's side, and standard data
confidentiality of cloud data sharing actually still remains unresolved. This paper addresses
this challenging issue by proposing a new attribute-based data sharing scheme suitable for
resource-limited mobile users in cloud computing. The proposed scheme eliminates a
majority of the computation task by adding system public parameters besides moving partial
encryption computation offline. In addition, a public ciphertext test phase is performed before
the decryption phase, which eliminates most of computation overhead due to illegitimate
ciphertexts. For the sake of data security, a Chameleon hash function is used to generate an
immediate ciphertext, which will be blinded by the offline ciphertexts to obtain the final online
ciphertexts. The proposed scheme is proven secure against adaptively chosen-ciphertext
attacks, which is widely recognized as a standard security notion. Extensive performance
analysis indicates that the proposed scheme is secure and efficient.