Intrusion Detection, Prevention, and Privacy of Big Data for Cyber-Physical Systems

2015 ◽  
pp. 415-442
Author(s):  
Afrah Fathima ◽  
Khaleel Ahmad ◽  
Abdul Wahid
Keyword(s):  
Big Data ◽  
Intrusion Detection ◽  
Cyber Physical Systems ◽  
Physical Systems

Security of Cyber-Physical Systems: A Generalized Algorithm for Intrusion Detection and Determining Security Robustness of Cyber Physical Systems using Logical Truth Tables

2013 ◽  
Vol 9 ◽  
Author(s):  
Curtis G. Northcutt
Keyword(s):  
Intrusion Detection ◽  
Cyber Security ◽  
Logical Truth ◽  
Cyber Physical Systems ◽  
Security Model ◽  
Security Measures ◽  
Physical Systems ◽  
Multiple Signal ◽  
Security Attack ◽  
Truth Tables

The recent proliferation of embedded cyber components in modern physical systems [1] has generated a variety of new security risks which threaten not only cyberspace, but our physical environment as well. Whereas earlier security threats resided primarily in cyberspace, the increasing marriage of digital technology with mechanical systems in cyber-physical systems (CPS), suggests the need for more advanced generalized CPS security measures. To address this problem, in this paper we consider the first step toward an improved security model: detecting the security attack. Using logical truth tables, we have developed a generalized algorithm for intrusion detection in CPS for systems which can be defined over discrete set of valued states. Additionally, a robustness algorithm is given which determines the level of security of a discrete-valued CPS against varying combinations of multiple signal alterations. These algorithms, when coupled with encryption keys which disallow multiple signal alteration, provide for a generalized security methodology for both cyber-security and cyber-physical systems.

Fog-Assisted Cloud Platforms for Big Data Analytics in Cyber Physical Systems

Smart Data ◽  
2019 ◽  
pp. 289-318 ◽  
Author(s):  
Md. Muzakkir Hussain ◽  
Mohammad Saad Alam ◽  
M.M. Sufyan Beg ◽  
S. M. Shariff
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cyber Physical Systems ◽  
Physical Systems

scholarly journals Biomedical Cyber-Physical Systems in the Light of Database as a Service (DBaaS) Paradigm

2020 ◽  
Vol 4 (3) ◽  
pp. 577-577
Author(s):  
Vania V Estrela
Keyword(s):  
Big Data ◽  
Data Warehouse ◽  
Query Language ◽  
Treatment Decisions ◽  
Cyber Physical Systems ◽  
Detailed Knowledge ◽  
Data Handling ◽  
Search Query ◽  
Physical Systems ◽  
Database As A Service

Background: A database (DB) to store indexed information about drug delivery, test, and their temporal behavior is paramount in new Biomedical Cyber-Physical Systems (BCPSs). The term Database as a Service (DBaaS) means that a corporation delivers the hardware, software, and other infrastructure required by companies to operate their databases according to their demands instead of keeping an internal data warehouse. Methods: BCPSs attributes are presented and discussed.  One needs to retrieve detailed knowledge reliably to make adequate healthcare treatment decisions. Furthermore, these DBs store, organize, manipulate, and retrieve the necessary data from an ocean of Big Data (BD) associated processes. There are Search Query Language (SQL), and NoSQL DBs.  Results: This work investigates how to retrieve biomedical-related knowledge reliably to make adequate healthcare treatment decisions. Furthermore, Biomedical DBaaSs store, organize, manipulate, and retrieve the necessary data from an ocean of Big Data (BD) associated processes. Conclusion: A NoSQL DB allows more flexibility with changes while the BCPSs are running, which allows for queries and data handling according to the context and situation. A DBaaS must be adaptive and permit the DB management within an extensive variety of distinctive sources, modalities, dimensionalities, and data handling according to conventional ways.

Sign in / Sign up

Export Citation Format

Share Document