期刊
IEEE COMMUNICATIONS MAGAZINE
卷 55, 期 12, 页码 24-30出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.2017.1700212
关键词
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资金
- Four Year Doctoral Fellowship from the University of British Columbia
- Natural Sciences and Engineering Research Council of Canada
- ICICS/TELUS People & Planet Friendly Home Initiative at the University of British Columbia
- Maoming Engineering Research Center of Industrial Internet of Things [517018]
- project IoTSec - Security in IoT for Smart Grids, IKTPLUSS program - Norwegian Research Council [248113/O70]
- Research Council of Norway [240079/F20]
- TELUS
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.
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