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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.
Radio-frequency identification (RFID) uses electromagnetic fields
to automatically identify and track tags attached to objects. The
tags contain electronically stored information. RFIDs have been
widely used in countless applications such as object tracking, 3D
positioning, indoor localization, supply chain management,
automotive, inventory control, anti-theft, anti-counterfeit, and
access control. The Internet of Things (IoT) promises a huge growth
in RFID technology and usage. This book covers the topic of RFID
protocol design, optimization, and security. RFID systems allow for
a much easier and error free inventory management and tracking, but
the probabilistic nature of RFID protocols makes the design and
optimization complex and challenging. Most existing commercial RFID
systems are not well designed. In this book, the authors aim to
demystify complicated RFID protocols and explain in depth the
principles, techniques, and practices in designing and optimizing
them.
Hardware Based Packet Classification for High Speed Internet
Routers presents the most recent developments in hardware based
packet classification algorithms and architectures. This book
describes five methods which reduce the space that classifiers
occupy within TCAMs; TCAM Razor, All-Match Redundancy Removal, Bit
Weaving, Sequential Decomposition, and Topological Transformations.
These methods demonstrate that in most cases a substantial
reduction of space is achieved. Case studies and examples are
provided throughout this book. About this book: * Presents the only
book in the market that exclusively covers hardware based packet
classification algorithms and architectures. * Describes five
methods which reduce the space that classifiers occupy within
TCAMs: TCAM Razor, All-Match Redundancy Removal, Bit Weaving,
Sequential Decomposition, and Topological Transformations. *
Provides case studies and examples throughout. Hardware Based
Packet Classification for High Speed Internet Routers is designed
for professionals and researchers who work within the related field
of router design. Advanced-level students concentrating on computer
science and electrical engineering will also find this book
valuable as a text or reference book.
This unique compendium focuses on the design and implementation of
emerging transport protocols and task scheduling mechanisms to
mitigate congestion in datacentre networks. Datacenters have become
a critical infrastructure for hosting user-facing online services
such as web search and social networking.For datacenter transport,
this volume highlights the design and implementation details of the
state-of-art transport protocols that not only achieves optimal
performance in terms of minimizing flow completion times but are
also deployment friendly.Moreover, this must-have reference
material also discusses the transport protocols for multi-tenant
datacentre networks. For datacenter task scheduling, the book
introduces an innovative task placement framework that considers
network scheduling while making task placement decisions.
This unique book represents the first rigorous and comprehensive
study of firewall policy design and analysis. Firewalls are the
most critical and widely deployed intrusion prevention systems.
Designing new firewall policies and analyzing existing firewall
policies have been difficult and error-prone. This book presents
scientifically sound and practically useful methods for designing
and analyzing firewall policies.This book is useful to a variety of
readers. First, it can be used as a handbook for network/firewall
administrators and network security professionals. Second, it can
be used as an advanced textbook for graduate students and senior
undergraduate students in computer science and engineering. Third,
it is also suitable for non-experts in network security who wish to
understand more about firewalls. The presentation of the book is
detailed enough to capture the interest of curious readers, and
complete enough to provide the necessary background material needed
to delve further into the subject of firewalls and network
security.
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.
Hardware Based Packet Classification for High Speed Internet
Routers presents the most recent developments in hardware based
packet classification algorithms and architectures. This book
describes five methods which reduce the space that classifiers
occupy within TCAMs; TCAM Razor, All-Match Redundancy Removal, Bit
Weaving, Sequential Decomposition, and Topological Transformations.
These methods demonstrate that in most cases a substantial
reduction of space is achieved. Case studies and examples are
provided throughout this book. About this book: * Presents the only
book in the market that exclusively covers hardware based packet
classification algorithms and architectures. * Describes five
methods which reduce the space that classifiers occupy within
TCAMs: TCAM Razor, All-Match Redundancy Removal, Bit Weaving,
Sequential Decomposition, and Topological Transformations. *
Provides case studies and examples throughout. Hardware Based
Packet Classification for High Speed Internet Routers is designed
for professionals and researchers who work within the related field
of router design. Advanced-level students concentrating on computer
science and electrical engineering will also find this book
valuable as a text or reference book.
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