Probabilistic Threat Detection for Risk Management in Cyber-physical Medical Systems

Rao, Aakarsh; Carreón, Nadir; Lysecky, Roman; Rozenblit, Jerzy W.

doi:10.1109/ms.2017.4541031

Cited by 41 publications

(24 citation statements)

References 6 publications

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“…Likewise, CPS has been explored for medical science and healthcare. For example, Rao et al (2017) described a case study of medical devices as cyber-physical systems with embedded threat detector for real-time risk mitigation. Fu et al (2017) explored the enhancement of information for medical CPS by developing a mathematical model that allows more precise prediction of human interactions to improve the potential of medical CPS.…”

Section: Cps In Other Industry Sectorsmentioning

confidence: 99%

Towards next generation cyber-physical systems and digital twins for construction

Akanmu¹,

Anumba²,

Ogunseiju³

2021

ITcon

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The construction industry continues to seek innovative ways to safely, timely and cost-effectively deliver construction projects. Several efforts have been made to automate construction processes but marginial success has been achieved in effectively reducing the long standing risks suffered by the industry. While industry 4.0 promises to improve project efficiency, reduce waste and improve productivity, the transition to this will depend on the successful adoption of many emerging technologies such as virtual design modeling technologies, sensing technologies, data analysis, storage and communication technologies, human-computer interaction technologies, and robotics. To accelerate innovation, digital twins and cyber-physical systems will be a necessity to advance automation and real-time control with these technologies. While digital twin represents a digital replica of the asplanned and as-built facility, cyber physical systems involve integration of physical systems with their digital replica through sensors and actuators. Despite evidence of the efficacy of cyber-physical systems and digital twins for reducing non-fatal injuries, enhancing safety management, improving progress monitoring and enhancing performance monitoring and control of facilities, their adoption in the construction industry is still in its infancy. This paper sheds light on the opportunities offered by cyber-physical systems and digital twins in other industry sectors and advocates for their increased deployment in the construction industry. This paper describes cyber-physical integration of emerging technologies with the physical construction or constructed facility as the next generation digital twin and cyber-physical systems. Potential scenarios of next generation cyber physical system and digital twin for improving workforce productivity, health, and safety, lifecycle management of building systems, and workforce competency are presented.

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Section: Cps In Other Industry Sectorsmentioning

confidence: 99%

Towards next generation cyber-physical systems and digital twins for construction

Akanmu¹,

Anumba²,

Ogunseiju³

2021

ITcon

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“…Adoption of probabilistic-based approach was reported to minimize the complexiy associated with evaluation of risk associated with medical devices. This fact was further found advocated in the work of Rao et al [33], [34] that inclines towards identification of risk factor. Study towards taxonomies of risk management was discussed by Reyes et al [35].…”

Section: Introductionmentioning

confidence: 72%

PORM: Predictive Optimization of Risk Management to control Uncertainty Problems in Software Engineering

Firdose¹,

Rao²

2018

IJECE

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Irrespective of different research-based approaches toward risk management, developing a precise model towards risk management is found to be a computationally challenging task owing to critical and vague definition of the origination of the problems. This research work introduces a model called as PROM i.e. Predictive Optimization of Risk Management with the perspective of software engineering. The significant contribution of PORM is to offer a reliable computation of risk analysis by considering generalized practical scenario of software development practices in Information Technology (IT) industry. The proposed PORM system is also designed and equipped with better risk factor assessment with an aid of machine learning approach without having more involvement of iteration. The study outcome shows that PORM system offers computationally cost effective analysis of risk factor as assessed with respect to different quality standards of object oriented system involved in every software projects.

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“…Finally, the recent promising domain of the healthcare applications includes: the medical Internet of Things (MIoT) to enable healthcare transformation, protecting interoperable clinical environment with authentication, and embedded, real-time, networked MCPS. Finally, several studies have been conducted on different Medical CPS applications that can be considered for further readings [70][71][72][73][74][75][76][77][78][79][80][81].…”

Section: Research Directions and Challenges In Mcps For Future Medicamentioning

confidence: 99%

Medical cyber-physical systems: A survey

et al. 2018

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Medical cyber-physical systems (MCPS) are healthcare critical integration of a network of medical devices. These systems are progressively used in hospitals to achieve a continuous high-quality healthcare. The MCPS design faces numerous challenges, including inoperability, security/privacy, and high assurance in the system software. In the current work, the infrastructure of the cyber-physical systems (CPS) are reviewed and discussed. This article enriched the researches of the networked Medical Device (MD) systems to increase the efficiency and safety of the healthcare. It also can assist the specialists of medical device to overcome crucial issues related to medical devices, and the challenges facing the design of the medical device's network. The concept of the social networking and its security along with the concept of the wireless sensor networks (WSNs) are addressed. Afterward, the CPS systems and platforms have been established, where more focus was directed toward CPS-based healthcare. The big data framework of CPSs is also included.

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Probabilistic Threat Detection for Risk Management in Cyber-physical Medical Systems

Cited by 41 publications

References 6 publications

Towards next generation cyber-physical systems and digital twins for construction

Towards next generation cyber-physical systems and digital twins for construction

PORM: Predictive Optimization of Risk Management to control Uncertainty Problems in Software Engineering

Medical cyber-physical systems: A survey

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