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An Interdisciplinary Approach to Modern Network Security (Hardcover)
Loot Price: R3,193
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An Interdisciplinary Approach to Modern Network Security (Hardcover)
Expected to ship within 9 - 15 working days
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An Interdisciplinary Approach to Modern Network Security presents
the latest methodologies and trends in detecting and preventing
network threats. Investigating the potential of current and
emerging security technologies, this publication is an
all-inclusive reference source for academicians, researchers,
students, professionals, practitioners, network analysts and
technology specialists interested in the simulation and application
of computer network protection. It presents theoretical frameworks
and the latest research findings in network security technologies,
while analyzing malicious threats which can compromise network
integrity. It discusses the security and optimization of computer
networks for use in a variety of disciplines and fields. Touching
on such matters as mobile and VPN security, IP spoofing and
intrusion detection, this edited collection emboldens the efforts
of researchers, academics and network administrators working in
both the public and private sectors. This edited compilation
includes chapters covering topics such as attacks and
countermeasures, mobile wireless networking, intrusion detection
systems, next-generation firewalls, web security and much more.
Information and communication systems are an essential component of
our society, forcing us to become dependent on these
infrastructures. At the same time, these systems are undergoing a
convergence and interconnection process that has its benefits, but
also raises specific threats to user interests. Citizens and
organizations must feel safe when using cyberspace facilities in
order to benefit from its advantages. This book is
interdisciplinary in the sense that it covers a wide range of
topics like network security threats, attacks, tools and procedures
to mitigate the effects of malware and common network attacks,
network security architecture and deep learning methods of
intrusion detection.
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