1.

Record Nr.

UNISA996464485403316

Autore

Liu Alex X.

Titolo

Algorithms for data and computation privacy / / Alex X. Liu, Rui Li

Pubbl/distr/stampa

Cham, Switzerland : , : Springer, , [2021]

©2021

ISBN

3-030-58896-3

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (XVIII, 404 p. 163 illus., 130 illus. in color.)

Disciplina

005.8

Soggetti

Computer security

Computer networks - Security measures

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Part I Privacy Preserving Queries -- Range Queries over Encrypted Data -- Fast and Scalable Range and Keyword Query Processing over Encrypted Data with Provable Adaptive Security -- Nearest Neighbor Queries over Encrypted Data -- K-nearest Neighbor Queries over Encrypted Data -- Top-k Queries for Two-tiered Sensor Networks -- Part II Privacy Preserving Computation -- Collaborative Enforcement of Firewall Policies in Virtual Private Networks -- Privacy Preserving Quantification of Cross-Domain Network Reachability -- Cross-Domain Privacy-Preserving Cooperative Firewall Optimization -- Privacy Preserving String Matching for Cloud Computing -- Privacy Preserving Information Hub Identification in Social Networks -- Part III Differential Privacy -- Publishing Social Network Data with Privacy Guarantees -- Predictable Privacy-Preserving Mobile Crowd Sensing -- Differentially Private and Budget Limited Bandit Learning over Matroids -- Part IV Breaking Privacy -- Breaching Privacy in Encrypted Instant Messaging Networks.

Sommario/riassunto

This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also



included in this book. Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook–Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world. This book targets database engineers, cloud computing engineers and researchers working in this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.

2.

Record Nr.

UNISALENTO991003758509707536

Autore

Stavchansky, Liora

Titolo

Lacanian psychoanalysis between the child and the other : exploring the cultures of childood / Liora Stavchansky

Pubbl/distr/stampa

London ; New York : Routledge, c2019

ISBN

9780367001278

Descrizione fisica

XIII, 138 p. ; 24 cm

Disciplina

618.928917

150.195

Soggetti

Bambini - Psicanalisi

Lacan, Jacques Psicanalisi Bambini

Lacan, Jacques Psicanalisi Bambini

Lingua di pubblicazione

Non definito

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNINA9911015855003321

Autore

Axenie Cristian

Titolo

Applied Antifragility in Natural Systems : From Principles to Applications / / by Cristian Axenie, Roman Bauer, Oliver López Corona, Jeffrey West

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

3-031-90391-9

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (131 pages)

Collana

SpringerBriefs in Computer Science, , 2191-5776

Altri autori (Persone)

BauerRoman

López CoronaOliver

WestJeffrey

Disciplina

004.0151

Soggetti

Computer science

Algorithms

Medical informatics

Computer simulation

Bioinformatics

Application software

Theory and Algorithms for Application Domains

Design and Analysis of Algorithms

Health Informatics

Computer Modelling

Computer and Information Systems Applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Ecological Antifragility -- Evolutionary Antifragility -- Interventional Antifragility -- Conclusions.

Sommario/riassunto

As coined in the book of Nassim Taleb, antifragility is a property of a system to gain from uncertainty, randomness, and volatility, opposite to what fragility would incur. An antifragile system’s response to external perturbations is beyond robust, such that small stressors can strengthen the future response of the system by adding a strong anticipation component. Such principles are already well suited for describing behaviors in natural systems but also in approaching



therapy designs and eco-system modelling and eco-system analysis. The purpose of this book is to build a foundational knowledge base by applying antifragile system design, analysis, and development in natural systems, including biomedicine, neuroscience, and ecology as main fields. We are interested in formalizing principles and an apparatus that turns the basic concept of antifragility into a tool for designing and building closed-loop systems that behave beyond robust in the face of uncertainty when characterizing and intervening in biomedical and ecological (eco)systems. The book introduces the framework of applied antifragility and possible paths to build systems that gain from uncertainty. We draw from the body of literature on natural systems (e.g. cancer therapy, antibiotics, neuroscience, and agricultural pest management) in an attempt to unify the scales of antifragility in one framework. The work of the Applied Antifragility Group in oncology, neuroscience, and ecology led by the authors provides a good overview on the current research status.