1.

Record Nr.

UNINA9910817996403321

Autore

Lobry C (Claude)

Titolo

The consumer-resource relationship : mathematical modeling / / Claude Lobry

Pubbl/distr/stampa

London : , : ISTE

Hoboken, NJ : , : Wiley, , [2018]

©2018

ISBN

1-119-54399-1

1-119-54402-5

1-119-54401-7

Descrizione fisica

1 online resource (279 pages)

Disciplina

577.88

Soggetti

Population biology - Mathematical models

Predation (Biology) - Mathematical models

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910298563303321

Autore

Wen Mi

Titolo

Querying over Encrypted Data in Smart Grids / / by Mi Wen, Rongxing Lu, Xiaohui Liang, Jingsheng Lei, Xuemin (Sherman) Shen

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

1-322-03987-9

3-319-06355-3

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (85 p.)

Collana

SpringerBriefs in Computer Science, , 2191-5768

Disciplina

005.74

Soggetti

Data encryption (Computer science)

Electrical engineering

Computer networks

Computer security

Cryptology

Communications Engineering, Networks

Computer Communication Networks

Systems and Data Security

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Equality Query for Auction in Emerging Smart Grid Marketing -- Conjunctive Query over Encrypted Multidimensional Data -- Range Query over Encrypted Metering Data for Financial Audit -- Conclusions and Future Work.

Sommario/riassunto

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.