Privacy and security of big data in cyber physical systems using Weibull distribution-based intrusion detection

Gifty, R; Bharathi, R.; Krishnakumar, P.

doi:10.1007/s00521-018-3635-6

Cited by 39 publications

(24 citation statements)

References 34 publications

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“…Protecting the privacy of the patrons was a consideration in both systems. It is essential to perform sets of security measurements in any intelligent transportation system [21], [22]. The Japanese system uses an Opt-out approach to protect the patrons' privacy.…”

Section: Privacy and Securitymentioning

confidence: 99%

A Framework for Transit Monitoring System Using IoT Technology: Two Case Studies

El-Tawab

Arai

Salman

et al. 2020

2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

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With the fast increase of wireless technology, more new applications are developed targeting smart cities. It is clear that soon-to-be, each city will be covered with wireless capabilities besides the 5G cellular technology. In a modern city, the bus riders find themselves waiting for a significant amount of time for a bus while checking their smartphones. It is essential to use the numerous amount of data that can be gathered from these devices and surrounding to serve a better quality for the transportation system while preserving the ridership privacy.As to improve the quality of monitoring the transit buses system, we develop a framework using the Internet of Things (IoT) devices. In this paper, a framework is formed, and two case studies are investigated with various implementations. The goal is to use this framework to collect any data that can be used in smart cities to improve planning and increasing bus ridership through better scheduling. A complete comparison between the two case studies is provided with the performance measurement of each technique, and a hybrid methodology is suggested.

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Section: Privacy and Securitymentioning

confidence: 99%

A Framework for Transit Monitoring System Using IoT Technology: Two Case Studies

El-Tawab

Arai

Salman

et al. 2020

2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

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“…The review is followed by a discussion, outlining the limitations in these works, research challenges, and gaps. Gifty et al reviewed the challenges in maintaining security in five CPS domains. These domains are implantable medical devices, smart grid, intelligent transportation, aircraft and drone, and nuclear power plant.…”

Section: Related Workmentioning

confidence: 99%

Security assessment of data management systems for cyber physical system applications

Chaudhry

Yousaf

Khan

2019

J Software Evolu Process

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Cyber physical system (CPS) applications are widely used to control critical infrastructure of various application domains, eg, medical health care, energy, and power, to name a few. Such applications usually take input data from sensors, estimate current state of the system, and then based on the estimation, make critical decisions to control the underlying infrastructure automatically. Therefore, security and integrity of the (system state) data are critically important to ensure safe operations of CPS. In this paper, we present a review of security of various data management systems used in CPS. Since CPS are composed of systems of (sub)systems that generate a huge amount of data (ie, periodical sensor input data), therefore, recently, NoSQL and NewSQL data management systems have emerged as popular data management systems to support efficient and scalable analysis of unstructured data. Unfortunately, these systems were not initially build for data security and thus are vulnerable to numerous security attacks. Considering flexible data model and efficient access methods in NoSQL and NewSQL, we discuss the security attacks on such data management systems and their corresponding solutions to mitigate them. In particular, we analyze the system and data security of popular NoSQL and NewSQL systems. To analyze that, we defined feature vectors for system and data security and compared the data systems against them. Finally, we propose security solutions for data management systems by identifying various security vulnerabilities in internal security algorithms of such systems. KEYWORDSaccess control security, CPS, data integrity, data security INTRODUCTIONIndustry 4.0 has led to the development of cyber physical systems (CPSs). A typical CPS consists of cyber and physical components, where cyber components are responsible for controlling physical components (respectively process) of an underlying critical infrastructure. The cyber components receive sensor data as an input to estimate current state of the physical components. Based on the state estimation, the cyber components make decisions (ie, issue commands) to change the state of the physical process. With the recent trend towards affordable sensors, fast communication networks, and better data acquisition methods, massive amount of data is generated by various sensors and autonomous resources in a CPS. This huge volume of data needs big data processing and management techniques. This introduces challenges related to the performance, security, reliability, scalability, and fault tolerance of a system. Since a CPS makes decision based on sensor input data, such data needs to be protected against various security attacks to ensure reliable and safe data operations. In this paper, we review the security of various data management systems that are used to store process data in a CPS. Modern CPS uses NoSQL and NewSQL systems to store data in order to assure reliable and efficient (ie, with strict time requirements) CPS operations. The increased data access has increa...

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“…Weibull distribution is the theoretical basis of life prediction , and it has a good application in the prediction of operation life of equipment. Weibull distribution function can be written as:

F (x) = 1 - \exp [- {((), \frac{x - γ}{α})}^{β - 1}], x \geq γ

…”

Section: Weibull Distribution‐based Transformer Operation Life Predicmentioning

confidence: 99%

“…Weibull distribution is the theoretical basis of life prediction [12], and it has a good application in the prediction of The skewness of H (q) A4…”

Section: Weibull Distribution-based Transformer Operation Life Predicmentioning

confidence: 99%

Analysis of fault of insulation aging of oiled paper of a large‐scale power transformer and the prediction of its service life

Xie

2019

IEEJ Transactions Elec Engng

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Insulation aging of oiled paper is a common malfunction of transformers. It is of great value to recognize the insulation aging status of oiled paper and predict the service life of transformers using appropriate methods. In this study, an aging state recognition method based on partial discharge was proposed. Partial discharge signals were collected, the feature values were obtained through analysis of the principle component factor, and the state was identified by using a support vector machine. A Weibull distribution‐based method was proposed for the prediction of service life, and the residual life of transformers was determined using failure rate function. Through analysis, it was found that the fault analysis method had an accuracy rate of 80.55% in the recognition of the aging state, which was higher than that of Hidden Markov Model (HMM). In the case analysis, the accuracy rate of the method in recognizing the aging state of 100 transformers reached 82.06%. The accuracy of the failure rate function was also verified in the prediction of service life. This study provides some new ideas for the effective recognition of insulation aging of oiled paper in transformers and the prediction of service life. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Privacy and security of big data in cyber physical systems using Weibull distribution-based intrusion detection

Cited by 39 publications

References 34 publications

A Framework for Transit Monitoring System Using IoT Technology: Two Case Studies

A Framework for Transit Monitoring System Using IoT Technology: Two Case Studies

Security assessment of data management systems for cyber physical system applications

Analysis of fault of insulation aging of oiled paper of a large‐scale power transformer and the prediction of its service life

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