Open AccessStudy on High Resilient Structures for IoT Systems to Detect Accidents
Author(s) -
Hideyuki Shintani,
Tomomi Aoyama,
Ichiro Koshijima
Publication year - 2017
Publication title -
journal of disaster research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.332
H-Index - 18
eISSN - 1883-8030
pISSN - 1881-2473
DOI - 10.20965/jdr.2017.p1073
Subject(s) - computer security , process (computing) , internet of things , resilience (materials science) , order (exchange) , cyber physical system , computer science , business , physics , finance , thermodynamics , operating system
In order to operate the Internet of Things (IoT) or Cyber Physical Systems (CPS) in the real world, the system needs to be structured to have people in the real world incorporated as a part of its process: Human-in-the-Loop CPS (HITLCPS). With people in the real world incorporated as a part of its process, the system must have a secure structure to be able to continue operating normally. With sensors, actuators and other devices connected in a network, it becomes vulnerable to cyberattacks; hence, its framework must be resilient and secure in order to ensure its safety in the face of any disturbances. In this paper, we describe a safety-based secure system structure, using a STAMP model and a covariance structure.