Abstract
District-wide real-time information sharing provides new
opportunities to optimize infrastructures and, for
example, the energy consumption of smart cities. However,
information collection introduces new privacy threats
that must be addressed. Existing anonymization solutions
are not suffcient for the brokering of streaming
real-time measurements. Advanced adversaries may utilize
information available from different sources and
correlation analyses to reveal a measurement's actual
source. We analyze security and privacy requirements and
design a privacy-enhancing architecture for an
information brokering platform. We propose an adaptive
pseudonymization framework to make privacy attacks harder
and to gain real-time awareness of the robustness of the
privacy protection of platforms. Finally, we present an
initial evaluation of the proposal using real-world
energy consumption measurements.
Original language | English |
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Pages (from-to) | 914-927 |
Journal | IEEE Access |
Volume | 4 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- access control
- anonymity
- authentication
- information sharing
- privacy
- real-time
- security
- smart city