HELOT–Hunting Evil Life in Operational Technology

Akailvi, Syed; Gautam, Uddhav; Bhandari, Praveshika; Rashid, Hadi; Huff, Philip; Springer, Jan P.

doi:10.1109/tsg.2022.3222261

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…The proliferation of IoT devices in industrial settings introduces potential entry points for cyber attackers seeking to compromise operational technology (OT) systems [96]. These devices, which are often small and have limited security mechanisms, can be vulnerable to attacks, putting the entire network at risk [97].…”

Section: Iot Securitymentioning

confidence: 99%

Cybersecurity challenges across sustainable development goals: A comprehensive review

Mohamed,

Abuobied

2024

Sustainable Engineering and Innovation

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In an era where society becomes increasingly reliant on digital technology and interconnected systems, the significance of cybersecurity for upholding sustainable development has become paramount. The Sustainable Development Goals (SDGs) were adopted by the United Nations in 2015 as a universal call to action to end poverty, protect the planet, and ensure that by 2030, people enjoy peace and prosperity. As we draw closer to the critical year of 2030, the insights of this paper gain urgency in light of ongoing efforts to achieve the SDGs. This review paper takes an innovative stance by examining how cybersecurity challenges align with each SDG. The novelty of this study is that, it not only highlights the interconnected nature of cybersecurity within each goal but also identifies and categorizes the top five emerging threats that could impact the 17 goals. By pinpointing potential risks, it calls for further research and strategies to counter these cyber threats that might hinder the progress towards the SDGs. This research work serves as valuable guidance for researchers, policymakers, and practitioners, offering a comprehensive understanding of the intricate relationship between cybersecurity and sustainable development.

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Section: Iot Securitymentioning

confidence: 99%

Cybersecurity challenges across sustainable development goals: A comprehensive review

Mohamed,

Abuobied

2024

Sustainable Engineering and Innovation

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“…The review of these literatures is presented here. In the field of IT–OT, Akailvi et al (2022) proposed a software architecture and prototype realization that allows a continuous capture of events within OT system, IT systems and interconnected systems. They reported two application cases.…”

Section: Introductionmentioning

confidence: 99%

A data‐analytic framework to monitor product density of four‐effect falling‐film evaporator for skimmed milk production

Wagh

Agashe

2023

J Food Process Engineering

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The implementation of Industry 4.0 needs the convergence in operational technology and information technology (OT–IT) for improving the flexibility to access real‐time data and KPIs. In India, a small‐scale automation industry is full of edge devices and produces massive amount of data due to which an infrastructure may overwhelm. These industries face challenges in convergence of IT–OT like scalability. This work developed a data‐driven framework, which is an additional infrastructure between the IT–OT platforms. The framework consists of data cleaning which helps to remove the anomaly from the sensor data. The uncertainty analysis ensures the correctness of the data. Variable ranking and correlation matrix help to identify the KPIs of the process. All these stages are helpful to select the data and push this selected data to cloud for developing predictive or diagnostic models. This framework is deployed for the performance prediction of four‐effect falling‐film evaporator used to produce skimmed milk. The outlet skimmed milk density is the key performance indicator for the present case study and it is monitored here. Both linear and neural network‐based nonlinear models are used in the framework. It is noticed that linear regression model is capable of predicting the plant product density of skimmed milk with good accuracy. However, it is not capable to identify the faults in the key parameters like inlet milk flow rate. These faults can be better identified using k‐means clustering at the initial stage of the framework. Practical applications This article titled “A data‐analytic framework to monitor product density of four‐effect falling‐film evaporator for skimmed milk production” by Nivedita Wagh and Sudhir D. Agashe contains the results obtained for data‐driven framework for performance prediction and fault diagnosis for four‐effect falling‐film evaporator used for production of skimmed milk. A data‐driven framework which includes uncertainty analysis, variable ranking, various linear and neural network‐based nonlinear regression models for performance prediction, and fault detection of an evaporator is proposed. The results are presented in terms of density of the skimmed milk as a performance parameter. The objective of the work is to provide the possibility of IT–OT convergence so as to solve the scalability issue in the IT–OT convergence. The authors are able to bring out a data‐driven framework for fault identification using k‐means clustering using four‐effect falling‐film evaporator used for production of skimmed milk as a case study. We hope the results will be useful to data managers for understanding the KPIs statistics and take appropriate decision in time for the overall growth of organization.

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Understanding the Defence of Operational Technology (OT) Systems: A Comparison of Lockheed Martin’s Cyber Kill Chain, MITRE ATT&CK Framework, and Diamond Model

Kareem,

Naik,

Jenkins

et al. 2024

Lecture Notes in Networks and Systems

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HELOT–Hunting Evil Life in Operational Technology

Cited by 4 publications

References 28 publications

Cybersecurity challenges across sustainable development goals: A comprehensive review

Cybersecurity challenges across sustainable development goals: A comprehensive review

A data‐analytic framework to monitor product density of four‐effect falling‐film evaporator for skimmed milk production

Understanding the Defence of Operational Technology (OT) Systems: A Comparison of Lockheed Martin’s Cyber Kill Chain, MITRE ATT&CK Framework, and Diamond Model

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