Model for Intrusion Detection in Cyber-Physical System to Address Network Simulation

Network and system security of cyber physical system is of vital significance in the present information correspondence environment. Hackers and network intruders can make numerous fruitful endeavors to bring crashing of the networks and web services by unapproved interruption. Computing systems connected to the Internet are stood up to with a plenty of security threats, running from exemplary computer worms to impart drive by downloads and bot networks. In the most recent years these threats have achieved another nature of automation and sophistication, rendering most defenses inadequate. Ordinary security measures that depend on the manual investigation of security incidents and attack advancement intrinsically neglect to give an assurance from these threats. As an outcome, computer systems regularly stay unprotected over longer time frames. This study presents a network intrusion detection based on machine learning as a perfect match for this issue, as learning strategies give the capacity to naturally dissect data and backing early detection of threats. The results from the study have created practical results so far and there is eminent wariness in the community about learning based defenses. Machine learning based Intrusion Detection and Network Security Systems are one of these solutions. It dissects and predicts the practices of clients, and after that these practices will be viewed as an attack or a typical conduct.

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Cyber-Physical system design with sensor networking technologies

10.1049/pbce096e ◽

2016 ◽

Cited By ~ 2

Keyword(s):

System Design ◽

Physical System ◽

Cyber Physical System ◽

Sensor Networking ◽

Networking Technologies

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Implementation of a Cyber-Physical System Using Wireless Sensor Networks for Monitoring Patients

Journal of Science and Technology Issue on Information and Communications Technology ◽

10.31130/jst.2015.8 ◽

2015 ◽

Vol 1 ◽

pp. 26 ◽

Cited By ~ 1

Author(s):

Vo Que Son ◽

Do Tan A

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Physical System ◽

Patient Monitoring ◽

High Reliability ◽

Vital Signs ◽

Wireless Sensor ◽

Cyber Physical System ◽

Self Administration ◽

Hospital Units

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.

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