Identity-Based Outsider Anonymous Broadcast Encryption with Simultaneous Individual Messaging

Mriganka Mandal, Koji Nuida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


Broadcast encryption (BE) is an effective method to broadcast encrypted confidential content, although it does not support the transmission of personalized messages to individuals. Broadcast encryption with personalized messages (BEPM) simultaneously transmits not only the common encrypted message to a group of users but also encrypted personalized messages to individual users. Currently available BEPM schemes fail to provide the recipient’s anonymity that means the information of the subscriber set is available to the enemies. This paper first introduces a new BEPM paradigm, called identity-based outsider anonymous broadcast encryption with personalized messages (IB-OAnoBEPM), by tweaking the identity-based framework over the most advanced and secure asymmetric Type-3 variant of the bilinear maps. In addition to being adaptively secure, our construction withstands indistinguishable chosen-plaintext attack under the standard asymmetric decisional bilinear Diffie-Hellman exponent assumption without using the random oracle model. More positively, the proposed scheme is the first BEPM system that achieves security without any non-standard q-type assumptions. In particular, our design is very efficient both in terms of communication and computation costs, as the ciphertext size is constant, and the decryption algorithm requires only three asymmetric bilinear pairings to recover the correct message and the personalized messages, which are highly desirable for light-weight devices.

Original languageEnglish
Title of host publicationNetwork and System Security - 14th International Conference, NSS 2020, Proceedings
EditorsMirosław Kutyłowski, Jun Zhang, Chao Chen
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages20
ISBN (Print)9783030657444
Publication statusPublished - 2020
Externally publishedYes
Event14th International Conference on Network and System Security, NSS 2020 - Melbourne, Australia
Duration: Nov 25 2020Nov 27 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12570 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th International Conference on Network and System Security, NSS 2020

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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