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
出版物信息
- 章节名称
-
Computational Security for the IoT and Beyond
- 章节作者
- 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
- 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