• Journal of KIISE
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• v.43 no.8
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• pp.933-945
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• 2016

Sharing data by multiple users on the public storage, e.g., the cloud, is considered to be efficient because the cloud provides on-demand computing service at anytime and anywhere. Secure data sharing is achieved by fine-grained access control. Existing symmetric and public key encryption schemes are not suitable for secure data sharing because they support 1-to-1 relationship between a ciphertext and a secret key. Attribute based encryption supports fine-grained access control, however it incurs linearly increasing ciphertexts as the number of attributes increases. Additionally, the decryption process has high computational cost so that it is not applicable in case of resource-constrained environments. In this study, we propose an efficient attribute-based secure data sharing scheme with outsourceable decryption. The proposed scheme guarantees constant-size ciphertexts irrespective of the number of attributes. In case of static attributes, the computation cost to the user is reduced by delegating approximately 95.3% of decryption operations to the more powerful storage systems, whereas 72.3% of decryption operations are outsourced in terms of dynamic attributes.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.1250-1253
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• 2007

데이터베이스를 아웃소싱하는 DAS 모델 환경에서 데이터베이스를 암호화하기 위해 암호화 알고리즘을 적용할 때, 암호화된 데이터의 순서는 평문과 달라, 인덱스를 구축할 수 없기 때문에 암호화된 데이터베이스에 대한 검색 처리상의 효율성 문제가 발생한다. 따라서, 아웃소싱된 데이터베이스 환경에 적합한 효율적인 암호화 메커니즘이 요구된다. 본 논문에서는 평문을 노출시키지 않은 상태에서 범위 검색이 가능한 새로운 고속 메커니즘을 제안하였다. 제안한 메커니즘은 복호화시 평문 데이터당 1 회의 XOR 연산과 버킷당 1 회의 암호화 연산만을 요구하므로 기 제안된 $Hacig{\ddot{u}}m{\ddot{u}}{\c{s}}$의 방식보다 효율적이다.