Privacy Preservation for Versatile Pay-TV Services

Kazuto Ogawa, Koji Nuida

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

Abstract

In pay-TV services, content is encrypted and transmitted to subscribers. Each subscriber has a security module that holds a decryption key(s) for the encrypted content. A set-top box or a smart card is often used as the security module. When a subscriber wants to obtain the same services outside the home, the subscriber has to bring the security module. However, even if the security module is a card, it is not easy to take it out because of the structure of TV sets and set-top boxes. As a way of improving current pay-TV services, Ogawa, Tamura, and Hanaoka (OTH17) proposed a system using an attribute-based encryption scheme (ABE). ABE is used to restrict the time and location at which a subscriber can obtain the service. However, OTH17 requires a third trusted party (TTP) for key and ciphertext generation; thus, the TTP knows the time and location of the subscriber. This means that the subscriber’s private information is disclosed to the party. Here, we propose a system that avoids disclosure of private data by adding a multi-party computation (MPC). In addition, MPC makes the TTP unnecessary.

Original languageEnglish
Title of host publicationHCI for Cybersecurity, Privacy and Trust - 1st International Conference, HCI-CPT 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsAbbas Moallem
PublisherSpringer Verlag
Pages417-428
Number of pages12
ISBN (Print)9783030223502
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event1st International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: Jul 26 2019Jul 31 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11594 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period7/26/197/31/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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