This SpringerBrief presents the concept of the smart grid architecture
and investigates the security issues of the smart grid and the existing
encrypted data query techniques. Unique characteristics of smart grid
impose distinguished challenges on this investigation, such as
multidimensional attributes in metering data and finer grained query on
each dimension. Three kinds of queries are introduced, namely, equality
query, conjunctive query and range query. For the equality query over
encrypted metering data, an efficient searchable encryption scheme is
introduced and can be applied for auction in emerging smart grid
marketing. Later chapters examine the conjunctive query and range query
over encrypted data. Different techniques are used, including the Public
key Encryption with Keyword Search (PEKS) and Hidden Vector Encryption
(HVE), to construct the comparison predicate and range query predicate.
Their correctness is demonstrated in the book. Concise and practical,
Encrypted Data Querying in Smart Grids is valuable for professionals and
researchers involved in data privacy or encryption. It is also useful
for graduate students interested in smart grid and related technologies.