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Self-organizing approaches inspired from biological systems, such
as social insects, genetic, molecular and cellular systems under
morphogenesis, and human mental development, has enjoyed great
success in advanced robotic systems that need to work in dynamic
and changing environments. Compared with classical control methods
for robotic systems, the major advantages of bio-inspired
self-organizing robotic systems include robustness, self-repair and
self-healing in the presence of system failures and/or
malfunctions, high adaptability to environmental changes, and
autonomous self-organization and self-reconfiguration without a
centralized control. "Bio-inspired Self-organizing Robotic Systems"
provides a valuable reference for scientists, practitioners and
research students working on developing control algorithms for
self-organizing engineered collective systems, such as swarm
robotic systems, self-reconfigurable modular robots, smart material
based robotic devices, unmanned aerial vehicles, and satellite
constellations.
This book presents the security and privacy challenges of the smart
home following the logic of "terminal device - voice interface -
application platform". For each component, the authors provide
answers to the three questions: 1) In the terminal device layer,
how to conduct cross-layer privacy breach analysis and provide
effective countermeasures; 2) In the voice interface layer, how to
design effective and lightweight schemes to defend against voice
spoofing; 3) In the application layer, how to design an effective
anomaly detection system without breaching the application
platform. The authors conduct a thorough analysis of the security
threats and challenges in each component of the smart home, review
the existing state-of-the-art solutions proposed by other
researchers, and elaborate on proposed countermeasures. This book
aims to provide both security threats analysis and state-of-the-art
countermeasures for the smart home network.
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