Title
Secure Multi-Receiver Communications: Models, Proofs, And Implementation
Abstract
With the demand of providing message authentication and confidentiality as well as receiver anonymity in applications such as multicast communication, digital content distribution systems, and pay-perview channels, many anonymous multi-receiver signcryption mechanisms have been put forward to offer these functions efficiently, which have the lower computational cost and communication overhead compared with the signature-then-encryption approaches. However, most certificateless-based schemes either focus on providing receiver anonymity or focus on improving signcryption efficiency. In addition, most certificateless-based schemes rely on bilinear pairing operations, which are more time consuming than modular exponentiation and scalar multiplication in finite fields. In this paper, we propose a practical anonymous multi-receiver certificateless signcryption (AMCLS) scheme that can satisfy message confidentiality, source authentication, and anonymity simultaneously and efficiently. In the proposed scheme, the sender's signcryption cost increases linearly with the increase of the designated receivers, while the unsign-cryption cost per receiver is constant. The adoption of elliptic curve scalar multiplication instead of bilinear pairing operation improves the efficiency of the proposed scheme. Both the sender and receivers' identities are encrypted from being exposed to offer anonymity. Through security analysis, our proposal can be proved to achieve chosen-ciphertext attack (CCA) security in encryption indistinguishability and receiver anonymity in strong, commonly accepted attack models. Theoretical analyses and experimental results demonstrate that our scheme enjoys a better efficiency than other certificateless-based schemes.
Year
DOI
Venue
2019
10.1007/978-3-030-38991-8_45
ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING (ICA3PP 2019), PT I
Keywords
DocType
Volume
Anonymity, Multi-receiver signcrption, Certificateless cryptosystem
Conference
11944
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
20
5
Name
Order
Citations
PageRank
Maomao Fu100.34
Xiaozhuo Gu2174.79
Wenhao Dai300.34
Jingqiang Lin416639.01
Han Wang500.34