کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6856955 1437972 2018 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Constant-size ciphertexts in threshold attribute-based encryption without dummy attributes
ترجمه فارسی عنوان
رمزنگاری اندازه ثابت در رمزنگاری مبتنی بر آستانه بدون ویژگی های ساختگی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Attribute-based encryption (ABE) is an augmentation of public key encryption that allows users to encrypt and decrypt messages based on users' attributes. In a (t, s) threshold ABE, users who can decrypt a ciphertext must hold at least t attributes among the s attributes specified by the encryptor. At PKC 2010, Herranz, Laguillaumie and Ràfols proposed the first threshold ABE with constant-size ciphertexts. In order to ensure the encryptor can flexibly select the attribute set and a threshold value, they use dummy attributes to satisfy the decryption requirement. The advantage of their scheme is that any addition or removal of the attributes will not require any change to users' private keys or public parameters. Unfortunately, the need for dummy attributes makes their scheme inefficient, since the computational cost of encryption is linear to the size of selected attribute set and dummy attribute set. In this work, we improve Herranz et al.'s work, and propose a new threshold ABE scheme which does not use any dummy attribute. Our scheme not only retains the nice feature of Herranz et al.'s scheme, but also offers two improvements in comparison to the previous work. Firstly, the computational costs of encryption and decryption are only linear in the size of the selected attribute set. Secondly, without any dummy attribute, most of the computations can be conducted without the knowledge of the threshold t. Hence, threshold change in the encryption phase does not require complete recomputation of the ciphertext.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 429, March 2018, Pages 349-360
نویسندگان
, , , ,