Security and Privacy Issues in IoT Devices and Sensor Networks
investigates security breach issues in IoT and sensor networks,
exploring various solutions. The book follows a two-fold approach,
first focusing on the fundamentals and theory surrounding sensor
networks and IoT security. It then explores practical solutions
that can be implemented to develop security for these elements,
providing case studies to enhance understanding. Machine learning
techniques are covered, as well as other security paradigms, such
as cloud security and cryptocurrency technologies. The book
highlights how these techniques can be applied to identify attacks
and vulnerabilities, preserve privacy, and enhance data security.
This in-depth reference is ideal for industry professionals dealing
with WSN and IoT systems who want to enhance the security of these
systems. Additionally, researchers, material developers and
technology specialists dealing with the multifarious aspects of
data privacy and security enhancement will benefit from the book's
comprehensive information.
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