Secure Multimedia Big Data in Trust-Assisted Sensor-Cloud for Smart City

Chunsheng Zhu, Lei Shu, Victor C.M. Leung, Song Guo, Yan Zhang, Laurence T. Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

82 Citations (Scopus)


Lately, with the prevalence of digital devices and social network applications, the explosive growth of multimedia big data poses many challenges for users to obtain them securely in various application scenarios. In this article, investigating secure multimedia big data application in trust-assisted sensor cloud (TASC), which is one kind of SC for smart city, the recent work about multimedia big data and SC is reviewed first. Further, the critical issues that affect the success of secure multimedia big data in TASC are identified. With that, motivated by addressing the identified critical issues, this article proposes two types of TASC: TASC-S (TASC with a single trust value threshold), and TASC-M (TASC with multiple trust value thresholds). Finally, with extensive simulation results about TASC-S and TASC-M as well as SC without trust assistance (SCWTA), the following insights into secure multimedia big data in TASC are achieved: the throughput of TASC-S and TASC-M can both be generally higher than that of SCWTA; the throughput of TASC-S can trend with tuned trust value threshold; and the throughput of TASC-M can fluctuate with the same trust value thresholds.

Original languageEnglish
Article number8198797
Pages (from-to)24-30
Number of pages7
JournalIEEE Communications Magazine
Issue number12
Publication statusPublished - 1 Dec 2017

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Secure Multimedia Big Data in Trust-Assisted Sensor-Cloud for Smart City'. Together they form a unique fingerprint.

Cite this