Cyber Security Standards for the Industrial Internet of Things (IIoT)– A Systematic Review

Buja, Atdhe; Apostolova, Marika; Luma, Artan; Januzaj, Ylber

doi:10.1109/hora55278.2022.9799870

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…Something that protects the security of information and maintains the level of security to prevent, and within SMEs, a culture of entrepreneurship is created that acts more in prevention than in remediation or reaction after the event has occurred. Much research is being done in terms of providing solutions to the challenges of the Industry 4.0 era [22], because every day it is becoming difficult for SMEs to deal with security problems. Industry 4.0 revolution is ongoing process of transforming every sector of the industry towards smartnes, for more, the Industry 4.0 concept should go beyond large companies with a personalized strategy approach and see the possibility of implementation in SMEs [23].…”

Section: Discussionmentioning

confidence: 99%

PROACTIVE MONITORING FOR SMEs USING APPINSIGHT

Buja

2022

ijarcs

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Data Security is a worldwide concern mostly for small medium enterprise (SMEs) and frameworks, approaches, methods are constantly evolving that has a connection with cloud computing, information systems, artificial intelligence, blockchain. Many developers, administrators or product teams running blind. Those are not knowing of problems with their application or do not have the information to fix the problems. The things which can go wrong with web and mobile applications or services is unlimited like dependency failures, resources, and crashes. Main argument is an evaluation of benefits by using Cloud as infrastructure and application on proactive monitoring called Azure Application Insights (AppInsight) towards target like web application, web API, PKI etc. The findings, demonstration of the study should reveal and support our main hypothesis that there is direct link between the proactive monitoring and the main factors that affects utilizing the cloud services. To address this need, in this paper, we introduce AppInsight, the best practice and a model of proactive approach to monitor different targets using Microsoft technology on Azure Cloud services. AppInsight – a model of proactive monitoring includes several functionalities: (1) identifying availability, (2) failures dependencies, (3) performance and (4) using telemetry data generates ad-hoc solution to fix potential failure of web application, web API etc. AppInsight a feature of Azure Monitor used to monitor live applications. AppInsight will automatically detect performance anomalies, and includes powerful analytics tools to help you diagnose issues. You will get a range of telemetry data of analytics of your target which is monitored by AppInsight. To evaluate this tool, we conduct an empirical evaluation by comparing data from actual live monitoring of Y target. Demo Video: https://www.youtube.com/watch?v=q7R8-c0ge7M

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Section: Discussionmentioning

confidence: 99%

PROACTIVE MONITORING FOR SMEs USING APPINSIGHT

Buja

2022

ijarcs

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“…Industry 5.0 advocates for establishing intelligent manufacturing systems, which require the Internet of Things based on technological implementation. There are many technological advancements to secure industrial organizations, such as automated attack detection [53,54], automated control rooms [55][56][57], zero trust architecture [58], and digital twins [59]. Osak and Buzina [60] explored ways to evaluate the flexibility and security of power systems under new conditions brought about by digital transformation and changes in industry practices, such as an increase in renewable energy sources and electric cars.…”

Section: Industrial Sectormentioning

confidence: 99%

Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations

Saeed,

Altamimi,

Alkayyal

et al. 2023

Sensors

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This systematic literature review explores the digital transformation (DT) and cybersecurity implications for achieving business resilience. DT involves transitioning organizational processes to IT solutions, which can result in significant changes across various aspects of an organization. However, emerging technologies such as artificial intelligence, big data and analytics, blockchain, and cloud computing drive digital transformation worldwide while increasing cybersecurity risks for businesses undergoing this process. This literature survey article highlights the importance of comprehensive knowledge of cybersecurity threats during DT implementation to prevent interruptions due to malicious activities or unauthorized access by attackers aiming at sensitive information alteration, destruction, or extortion from users. Cybersecurity is essential to DT as it protects digital assets from cyber threats. We conducted a systematic literature review using the PRISMA methodology in this research. Our literature review found that DT has increased efficiency and productivity but poses new challenges related to cybersecurity risks, such as data breaches and cyber-attacks. We conclude by discussing future vulnerabilities associated with DT implementation and provide recommendations on how organizations can mitigate these risks through effective cybersecurity measures. The paper recommends a staged cybersecurity readiness framework for business organizations to be prepared to pursue digital transformation.

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