scholarly journals Whitelists Based Multiple Filtering Techniques in SCADA Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
DongHo Kang ◽  
ByoungKoo Kim ◽  
JungChan Na ◽  
KyoungSon Jhang

Internet of Things (IoT) consists of several tiny devices connected together to form a collaborative computing environment. Recently IoT technologies begin to merge with supervisory control and data acquisition (SCADA) sensor networks to more efficiently gather and analyze real-time data from sensors in industrial environments. But SCADA sensor networks are becoming more and more vulnerable to cyber-attacks due to increased connectivity. To safely adopt IoT technologies in the SCADA environments, it is important to improve the security of SCADA sensor networks. In this paper we propose a multiple filtering technique based on whitelists to detect illegitimate packets. Our proposed system detects the traffic of network and application protocol attacks with a set of whitelists collected from normal traffic.

2014 ◽  
Vol 615 ◽  
pp. 370-374
Author(s):  
Jing Ji ◽  
Shao Zhong Cao

This paper aims at the current field of industrial control of stacker networking and intelligence, presents a supervisory control and data acquisition system. In VC++.NET environment, transfer Mitsubishi MX component by Mitsubishi FX3U Ethernet module implements the computer and Mitsubishi FX3U series PLC communication, to reach the remote real-time data acquisition and supervisory control ,to provide a visual interface for the user.


J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.


1986 ◽  
Vol 17 (5) ◽  
pp. 285-296 ◽  
Author(s):  
Massimo Annunziata ◽  
Giuseppe Cima ◽  
Paola Mantica ◽  
Giacomo R. Sechi

Sign in / Sign up

Export Citation Format

Share Document