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Attribute-Based Signcryption: Adaptive-Predicates Model (Extended
Version) Tapas Pandit1+,
Sumit Kumar Pandey2, and Rana Barua1
1Stat-Math
Unit, Indian Statistical Institute, Kolkata, India {tapasgmmath,
ranabarua.isi}@gmail.com 2School
of Physical and Mathematical Sciences Nanyang Technological University,
Singapore emailpandey@gmail.com Abstract Attribute-Based Signcryption (ABSC) is a natural
extension of Attribute-Based Encryption (ABE) and Attribute-Based Signature
(ABS), where one can have the message confidentiality and authenticity together.
Since the signer privacy is captured in security of ABS, it is quite natural
to expect that the signer privacy will also be preserved in ABSC. In this
paper, first we propose an ABSC scheme which is weak existential unforgeable and IND-CCA secure in adaptive-predicates
models and, achieves signer privacy. Then, by applying strongly unforgeable
one-time signature (OTS), the above scheme is lifted to an ABSC scheme to
attain strong existential
unforgeability in adaptive-predicates
model. Both the ABSC schemes are constructed on common setup, i.e the public
parameters and key are same for both the encryption and signature modules.
Our first construction is in the flavor of CtE&S paradigm,
except one extra component that will be computed using both signature
components and ciphertext components. The second proposed construction
follows a new paradigm (extension of CtE&S ), we call it “Commit then Encrypt and Sign
then Sign” (CtE&S
). The last signature is
generated using a strong OTS scheme. Since, the non-repudiation is achieved
by CtE&S paradigm,
our systems also achieve the same. Keywords: implantable
medical devices, security, wireless sensor network +: Corresponding author: Siamak Aram
Journal of Internet Services and Information Security (JISIS), 6(3): 61-113, August 2016 [pdf] |
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