Towards insighting cybersecurity for healthcare domains: A comprehensive review of recent practices and trends

Cyber Security and Applications, Journal Year: 2023, Volume and Issue: 1, P. 100016 - 100016

Published: March 11, 2023

Healthcare information security is becoming a significant responsibility for all healthcare organisations and individuals. Innovative medical equipment apps are vital to patient care, yet they often the target of hackers. Moreover, attackers silently working against data. Once hacker has gained access network, might install ransomware lock down essential services or encrypt files until specified ransom paid. Businesses frequently compelled pay ransom, hoping money eventually recovered since sector time-sensitive. Although less common, network-connected devices can be taken over used distribute incorrect medications alter machine's functionality. So, there need implement cyber in protect information. In comparison other industries, duties industry particularly broad new. This especially true given that data accumulated accessed from various destinations. Data on specific gathered sources, including hospital lab records, insurance fitness apps, trackers gadgets, health portals, many more. It easily protected by using cybersecurity technology. paper briefs about its healthcare. Several tools, traits roles Sector studied. Finally, we identified studied applications For hackers, patient's aggregated regarded as goldmine, providing them with detailed biography an individual, basic information, trends, family history, financial details. The importance emerges numerous endpoints, which weak spots management system also open up infringement infrastructure.

Language: Английский

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The applications of Internet of Things (IoT) in industrial management: a science mapping review

International Journal of Production Research, Journal Year: 2023, Volume and Issue: 62(5), P. 1928 - 1952

Published: Dec. 26, 2023

With the rise of Internet Things (IoT) technology, seamless connection between physical and digital worlds has been realized. This review paper aims to conduct a science mapping IoT applications in industrial management identify mainstream research topics, gaps, future directions. Using VOSviewer as visualization tool, 142 articles retrieved from Scopus database were quantitatively discussed using scientometric analysis. Additionally, follow-up qualitative discussion was focused on existing directions main goals. The results revealed influential findings for co-occurrence keywords, journals, countries, authors, documents analyses. Moreover, it found that mainly four topics including (1) application manufacturing based cyber-physical systems, (2) IoT-related technologies logistics supply chain management, (3) impact business models, (4) Industrial (IIoT) context Industry 4.0. On this basis, gaps are proposed. would help relevant practitioners researchers better understand body knowledge lay foundation further research.

Language: Английский

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Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools

Comprehensive Reviews in Food Science and Food Safety, Journal Year: 2024, Volume and Issue: 23(1)

Published: Jan. 1, 2024

Abstract To enhance the resilience of food systems to safety risks, it is vitally important for national authorities and international organizations be able identify emerging risks provide early warning signals in a timely manner. This review provides an overview existing experimental applications artificial intelligence (AI), big data, internet things as part risk identification tools methods domain. There ongoing rapid development fed by numerous, real‐time, diverse data with aim risks. The suitability AI support such illustrated two cases which climate change drives emergence namely, harmful algal blooms affecting seafood fungal growth mycotoxin formation crops. Automation machine learning are crucial future real‐time systems. Although these developments increase feasibility effectiveness prospective tools, their implementation may prove challenging, particularly low‐ middle‐income countries due low connectivity availability. It advocated overcome challenges improving capability capacity authorities, well enhancing collaboration private sector organizations.

Language: Английский

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Shaping the future of AI in healthcare through ethics and governance

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: March 15, 2024

Abstract The purpose of this research is to identify and evaluate the technical, ethical regulatory challenges related use Artificial Intelligence (AI) in healthcare. potential applications AI healthcare seem limitless vary their nature scope, ranging from privacy, research, informed consent, patient autonomy, accountability, health equity, fairness, AI-based diagnostic algorithms care management through automation for specific manual activities reduce paperwork human error. main faced by states regulating were identified, especially legal voids complexities adequate regulation better transparency. A few recommendations made protect data, mitigate risks regulate more efficiently international cooperation adoption harmonized standards under World Health Organization (WHO) line with its constitutional mandate digital public health. European Union (EU) law can serve as a model guidance WHO reform International Regulations (IHR).

Language: Английский

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Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions towards automation, intelligence and transparent cybersecurity modeling for critical infrastructures

Internet of Things, Journal Year: 2024, Volume and Issue: 25, P. 101110 - 101110

Published: Feb. 5, 2024

Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets, services that are vital for functioning well-being of a society, economy, or nation. However, rapid proliferation dynamism today's cyber threats in digital environments may disrupt CI functionalities, which would have debilitating impact on public safety, economic stability, national security. This has led much interest effective cybersecurity solutions regarding automation intelligent decision-making, where AI-based modeling is potentially significant. In this paper, we take into account "Rule-based AI" rather than other black-box since model transparency, i.e., human interpretation, explainability, trustworthiness an factor, particularly application areas. article provides in-depth study multi-aspect rule based AI considering interpretable decisions as well security intelligence CI. We also provide taxonomy generation methods by taking not only knowledge-driven approaches expertise but data-driven approaches, extracting insights useful knowledge from data, their hybridization. understanding can help analysts professionals comprehend how systems work, identify potential anomalies, make better various real-world cover these techniques address diverse concerns such threat detection, mitigation, prediction, diagnosis root cause findings, so different sectors, energy, transport, health, water, agriculture, etc. conclude paper with list identified issues opportunities future research, solution directions researchers might tackle emerging area study.

Language: Английский

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Exploring the Impact of AI on The EFL Context: A Case Study of Saudi Universities

Journal of Intercultural Communication, Journal Year: 2023, Volume and Issue: unknown, P. 41 - 49

Published: June 5, 2023

This research aims to determine whether or not it is possible use artificial intelligence (AI) in English for speakers of other languages (ESOL) courses and review previous pertinent EFL/ESL instruction present a comprehensive picture the current degree instruction. Utilization intelligent teaching systems, self-regulated learning, virtual reality, immersive environment, natural language processing as foreign classroom. The study adopted questionnaire tool data collection then was analyzed discussed reach results. results showed that ethical responsibility making most effective AI classroom now falls on both educators students themselves. article also concludes positively impacts field (ELT) learning; however, needs be better integrated into educational settings. Teachers need more aware new applications tools have flooded recent years. conclusion reached context article.

Language: Английский

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Enhanced Cyber Attack Detection Process for Internet of Health Things (IoHT) Devices Using Deep Neural Network

Processes, Journal Year: 2023, Volume and Issue: 11(4), P. 1072 - 1072

Published: April 3, 2023

Internet of Health Things plays a vital role in day-to-day life by providing electronic healthcare services and has the capacity to increase quality patient care. (IoHT) devices applications have been growing rapidly recent years, becoming extensively vulnerable cyber-attacks since are small heterogeneous. In addition, it is doubly significant when IoHT involves used domain. Consequently, essential develop resilient cyber-attack detection system environment for mitigating security risks preventing from exposed cyber-attacks. Artificial intelligence primary anomaly detection. this paper, deep neural network-based built employing artificial on latest ECU-IoHT dataset uncover environment. The proposed network achieves average higher performance accuracy 99.85%, an area under receiver operator characteristic curve 0.99 false positive rate 0.01. It evident experimental result that attains than existing methods.

Language: Английский

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Clinicians’ Perspectives on Healthcare Cybersecurity and Cyber Threats

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 14, 2023

Introduction: In today's world, healthcare systems face various risks, including data breaches, theft, and damage. This is where cybersecurity comes in, as it helps protect sensitive personal financial data, such electronic health records. study delved into the perspectives of clinicians on in healthcare, exploring how impacts patient safety functioning organizations. The also identified challenges associated with implementing measures risks not doing so. Method: a qualitative which clinical informaticians from different science backgrounds were asked to share their opinions using Delphi technique, 48 participants engaging all three rounds. Results: highlighted that 96% deemed critical for protecting data. Compliance regulations (91.7%), reduced disruptions (69%), improved care (65%), trust (58.3%), reputation (54%) additional advantages. However, top implementation, time/resource constraints (65%) disruption workflows/services (60.4%). Staff resistance, insider threats, legacy system issues anticipated obstacles. Neglecting implement could lead higher risk breaches (96%), financial/legal penalties hospitals (79%), concerns about (65%). Conclusion: It imperative prioritize industry mitigate these ensure confidence, stability, and, ultimately, save lives. A unified approach required enforce policies, modify behaviors, adopt innovative practices combat cyberattacks effectively.

Language: Английский

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The integration of AI in nursing: addressing current applications, challenges, and future directions

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 11, 2025

Artificial intelligence is increasingly influencing healthcare, providing transformative opportunities and challenges for nursing practice. This review critically evaluates the integration of AI in nursing, focusing on its current applications, limitations, areas that require further investigation. A comprehensive analysis recent studies highlights use clinical decision support systems, patient monitoring, education. However, several barriers to successful implementation are identified, including technical constraints, ethical dilemmas, need workforce adaptation. Significant gaps literature also evident, such as limited development nursing-specific tools, insufficient long-term impact assessments, absence frameworks tailored contexts. The potential reshape personalized care, advance robotics address global health explored depth. integrates existing knowledge identifies critical future research, emphasizing necessity aligning advancements with specific needs nursing. Addressing these essential fully harness AI's while reducing associated risks, ultimately enhancing practice improving outcomes.

Language: Английский

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Waste reduction via image classification algorithms: beyond the human eye with an AI-based vision

International Journal of Production Research, Journal Year: 2023, Volume and Issue: 62(9), P. 3193 - 3211

Published: July 3, 2023

Modern manufacturing is the world's largest and most automated industrial sector. The rise of Industry 4.0 technologies such as Big Data, Internet Things (IoT) devices, Machine Learning has enabled a better connection with machines factory systems. Data harvesting allowed for more seamless comprehensive implementation knowledge-based decision-making process. New models that provide competitive edge must be created by combining Lean paradigm new 4.0. This paper presents novel computer-based vision detection classification damaged packages from intact packages. In high-volume production environments, package manual inspection process through human eye consumes inordinate amounts time poring over physical Our proposed three different approaches detect to prevent them moving shipping operations would otherwise incur waste in form wasted operating hours, resources lost customer satisfaction. were carried out on data set consisting images achieved high precision, accuracy, recall values during training validation stage, resultant trained YOLO v7 model.

Language: Английский

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