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Computational Security for the IoT and Beyond

教师个人信息

姓名
Pavel Loskot 浙江大学教师主页
学院
ZJUI
研究方向
Statistical signal processing, Probabilistic modeling, Networked systems
成果类型
图书章节
Security and Privacy in Internet of Things (IoTs): Models, Algorithms, and Implementations

出版物信息

章节名称
Computational Security for the IoT and Beyond
章节作者
Pavel Loskot
章节序号
14
著作名称
Security and Privacy in Internet of Things (IoTs): Models, Algorithms, and Implementations
图书作者
Fei Hu
出版社
Taylor & Francis
P-ISBN
9780367574925
摘要

Although the fundamental processes in society (e.g., the need for travel, business, and entertainment) have not changed for as much as the past 1000 years, the complexities of life and the world have been increasing constantly as these processes are being made ever more efficient [25]. The underlying complex systems are often envisioned as networks of mutually interconnected subunits (so-called

structural models, being derived from a physical structure), or as networks capturing interdependencies and relationships (so-called functional models, being derived from a logical structure) [19, 47]. Thus, network models are collections of scalar (often binary) interactions between the pairs of entities. For example, living matter is formed by complex interactions of biomolecules, cells, organs, tissue, individuals, and populations [51]. On the other hand, socioeconomic infrastructures such as telecommunication systems, roads, and distribution of utilities are examples of the largest man-made networks. Notably, the social and biological systems are far more complex than any man-made technology, with the human brain being the most complex structure known in our universe.

DOI
https://doi.org/10.1201/b19516

纸电馆藏信息

馆藏地
海宁国际分馆-特藏
索书号
TP393.4/LS6/SC2
条码号
000000325939