SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Language: Английский
Published: April 9, 2025
With the increasing adoption of cloud-based services and distributed systems, securing user identity sensitive data in Federated Identity Management (FIM) systems has become a critical challenge. Traditional authentication authorization mechanisms often fall short ensuring fine-grained access control, especially when dealing with large-scale, dynamic environments. This study explores enhancement security through integration Attribute-Based Encryption (ABE), promising cryptographic technique that offers advanced control based on attributes rather than single identity. The proposed model utilizes Ciphertext-Policy ABE (CP-ABE) to ensure encryption while also ensuing only users appropriate matching can decrypt specific information. By deploying Encryption, system enhances privacy, reduces risk unauthorized access, addresses common vulnerabilities federated such as credential theft privilege escalation. Through series experiments, this evaluates feasibility effectiveness real- world scenarios. findings suggest integrating into significantly strengthens security, provides more flexible granular mitigates risks associated traditional management approaches. work will contribute field by offering novel approach complex environments, implications for both academia industry cloud computing, cybersecurity, privacy-preserving technologies.
Language: Английский
Citations
0
Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 53 - 78
Published: April 17, 2025
With increasing reliance on cloud computing for data storage, processing, and service delivery, unprecedented convenience efficiency have been brought. However, challenges in terms of security network are enormous. This book chapter deals with the foundational principles, emerging threats, innovative solutions associated securing networks environments. It explores encryption techniques, access control mechanisms, intrusion detection systems designed to be suitable ecosystems. In addition, it methods reducing Distributed Denial Service attacks protecting against breaches. also addresses issue compliance protection regulations as well role artificial intelligence machine learning security. By presenting case studies future trends, this provides a broad overview emergent landscape practical insights researchers practitioners.
Language: Английский
Citations
0
Future Internet, Journal Year: 2024, Volume and Issue: 16(9), P. 308 - 308
Published: Aug. 27, 2024
The rapid development of AI technology in recent years has led to its widespread use daily life, where it plays an increasingly important role. In healthcare, been integrated into the field develop new domain smart healthcare. opportunities and challenges coexist. This article provides a comprehensive overview past developments progress this area. First, we summarize definition characteristics Second, explore that brings healthcare from macro perspective. Third, categorize specific applications ten domains discuss their technological foundations individually. Finally, identify key these face existing solutions for each.
Language: Английский
Citations
2
Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 2011 - 2025
Published: Aug. 31, 2024
This review paper explores the application of machine learning techniques in predicting customer churn and enhancing retention within telecommunications industry. The begins by discussing significance churn, its causes, limitations traditional prediction methods. It then delves into algorithms, including decision trees, support vector machines, ensemble highlights their effectiveness handling large complex datasets typical telecom sector. discussion extends to challenges faced data quality, model selection, implementation, ethical considerations using for predictive analytics. also compares models with methods, emphasizing advantages scalability, accuracy, real-time processing. Furthermore, it identifies potential innovations, such as improved integration, interpretable models, personalized strategies. Finally, reflects on future trends, growing role AI telecommunications, particularly service automation network optimization. underscores importance adopting reduce improve while considering field's implications opportunities. Keywords: Customer Churn Prediction, Machine Learning, Telecommunications, Retention, Predictive Analytics, Telecom
Language: Английский
Citations
2
International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(8), P. 806 - 833
Published: Aug. 23, 2024
Artificial intelligence (AI) is transforming personalized medicine by enhancing drug efficacy and reducing adverse effects, promising a new era of precision healthcare. This paper explores the role AI in revolutionizing therapies tailoring treatments to individual patient profiles, thereby optimizing therapeutic outcomes minimizing risks. leverages vast amounts medical data, including genetic information, electronic health records (EHRs), real-time monitoring create comprehensive profiles. Machine learning algorithms analyze these profiles identify patterns correlations that might not be apparent human practitioners. enables development treatment plans consider patient's unique makeup, lifestyle, existing conditions. One critical applications pharmacogenomics, which studies how genes affect person’s response drugs. can variations influence metabolism, efficacy, toxicity, allowing healthcare providers predict medications dosages will most effective for patients. reduces trial-and-error approach traditionally used prescribing medications, incidence reactions (ADRs). also plays significant repurposing development. By analyzing data outcomes, uses potential side effects before clinical trials, accelerating process costs. Moreover, AI-driven predictive analytics continuously monitor responses treatment, adjusting maintain optimal levels. particularly beneficial managing chronic conditions such as diabetes, hypertension, cancer, where maintaining correct dosage crucial disease management. Despite its promise, integration faces challenges, privacy concerns, need robust regulatory frameworks, ensuring equitable access innovations. Addressing challenges requires collaborative efforts from providers, researchers, policymakers, technology developers. In conclusion, at forefront medicine, Continued advancements technologies supportive policies realizing full ultimately leading more safer solutions. Keywords: AI, Drug Efficacy, Personalized Medicine, Enhancing, Reducing Adverse Effect.
Language: Английский
Citations
1
International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(8), P. 1797 - 1823
Published: Aug. 21, 2024
Artificial intelligence (AI) and big data analytics have emerged as powerful tools in enhancing public health surveillance, particularly rural communities where traditional monitoring methods face significant challenges. These technologies offer the potential to transform how is collected, analyzed, utilized, enabling more effective timely responses threats. Rural often struggle with limited healthcare infrastructure, making it difficult monitor respond issues effectively. AI can bridge this gap by providing advanced capabilities for real-time collection analysis. algorithms process vast amounts of from various sources, including electronic records, mobile applications, social media, environmental sensors. This enables identification patterns trends that may indicate emerging threats, such outbreaks infectious diseases or increases chronic conditions. Big allows integration analysis diverse datasets, a comprehensive view areas. holistic approach officials identify high-risk populations, track spread diseases, evaluate effectiveness interventions. For instance, AI-powered predictive models forecast disease based on historical current trends, allowing proactive measures mitigate impact. Moreover, these enhance accuracy efficiency surveillance. automate processing tasks, reducing time resources required manual authorities quickly improving overall outcomes communities. Additionally, aid identifying correlations between factors issues, insights inform policies Despite benefits, implementing surveillance faces several Data privacy security concerns must be addressed ensure confidentiality information. Furthermore, areas lack technological infrastructure expertise needed fully leverage technologies. Overcoming challenges requires investment training professionals, development user-friendly applications tailored needs In conclusion, hold promise By leveraging technologies, improve detection, monitoring, response ultimately leading better populations. Keywords: AI, Analytics, Public Health, Surveillance, Communities.
Language: Английский
Citations
1
Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 2670 - 2693
Published: Aug. 31, 2024
In Agile development, leveraging UX design and prototyping is crucial for delivering user-centered solutions that meet business goals user needs. This review explores the integration of within frameworks from a analyst’s perspective, highlighting how these practices enhance project outcomes ensure alignment with both expectations objectives. User Experience (UX) are essential in development creating intuitive effective interfaces. focuses on understanding needs, behaviors, pain points through research, personas, journey mapping. Prototyping involves early versions product to visualize test concepts. Integrating methodologies helps iterating designs quickly, gathering feedback, refining features based real-world use. From offer several benefits. Firstly, they facilitate clearer communication between stakeholders, designers, developers by providing tangible representations ideas requirements. reduces misunderstandings ensures all parties have shared vision outcomes. Secondly, continuous allows rapid validation assumptions, reducing risk costly changes later process. The also discusses analysts can leverage prioritize features, manage stakeholder expectations, drive decision-making. By incorporating feedback into iterative cycles, final not only meets needs but aligns delivers value. Additionally, use principles tools enhances agility process, enabling teams adapt changing requirements market conditions effectively. conclusion, integrating provides strategic advantage aligning experience For analysts, this approach products user-centered, functional, responsive evolving ultimately contributing success projects. Keywords: Design, Prototyping, Development, Business Analyst, Experience, Iterative Stakeholder Communication, Feature Prioritization, Feedback, Development Process.
Language: Английский
Citations
1
International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(8), P. 834 - 858
Published: Aug. 23, 2024
Antimicrobial resistance (AMR) poses a significant threat to global health, complicating the treatment of infectious diseases and leading increased morbidity mortality. Innovative drug delivery methods are emerging as critical strategies combat AMR by enhancing efficacy existing antibiotics facilitating development new therapeutic approaches. This paper explores role novel systems in addressing challenges. One primary approaches is targeted that improve precision antibiotic therapy. Nanotechnology has revolutionized this field, enabling creation nanoparticles nanocarriers can deliver drugs directly infection sites, reducing systemic side effects concentration at target. These advanced be engineered release controlled manner, overcoming bacterial mechanisms minimizing likelihood development. Another promising strategy involves use combination therapies delivered through innovative methods. By combining with adjuvants or resistance-modifying agents, these counteract restore effectiveness drugs. For instance, platforms co-deliver inhibitors efflux pumps biofilm formation enhance resistant infections. The integration smart systems, which respond environmental stimuli such pH changes specific enzymes, offers additional advantages. only presence bacteria, thereby overall exposure bacteria decreasing risk resistance. also include long-acting formulations implants provide sustained over extended periods. Such reduce frequency dosing, patient adherence, ensure consistent levels, crucial for managing chronic infections preventing In conclusion, pivotal fight against AMR. targeting, therapies, utilizing sustained-release offer solutions curb Continued research area essential advancing ensuring effective management face rising antimicrobial Keywords: Innovative, Drug Delivery Methods, Combating, Antimicrobial, Resistance.
Language: Английский
Citations
0
International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(8), P. 1824 - 1847
Published: Aug. 21, 2024
The integration of artificial intelligence (AI) in healthcare has revolutionized chronic disease management, particularly rural areas where access to medical services is often limited. AI-enhanced remote monitoring systems leverage advanced machine learning algorithms, wearable devices, and telehealth platforms provide continuous, real-time health for patients with conditions such as diabetes, hypertension, cardiovascular diseases. AI algorithms analyze data from which track vital signs like heart rate, blood pressure, glucose levels, physical activity. This continuous stream allows early detection potential issues, enabling timely interventions reducing the need frequent hospital visits. For instance, can predict a hypertensive crisis by identifying abnormal patterns pressure readings, prompting immediate attention. Telehealth facilitate communication between providers, overcoming geographical barriers. Patients receive personalized care plans, medication adjustments, lifestyle recommendations through virtual consultations. AI-driven chatbots assistants enhance patient engagement providing instant responses health-related queries, thus improving adherence treatment regimens. Moreover, enhances analytics integrating electronic records (EHR) data, creating comprehensive profiles. These profiles assist providers making informed decisions personalizing plans. Predictive identify high-risk forecast progression, proactive management strategies. implementation also addresses resource constraints settings. Automated collection analysis reduce workload professionals, allowing them focus on critical tasks. Furthermore, AI's scalability ensures that even underserved communities benefit technologies. Despite these advancements, challenges privacy, cybersecurity, reliable internet connectivity must be addressed. Ensuring security confidentiality paramount gaining trust widespread adoption technologies healthcare. In conclusion, presents transformative approach areas, outcomes, enhancing accessibility, optimizing utilization. Continued innovation investment are essential bridging gap urban populations. Keywords: AI-Enhanced, Remote Monitoring, Chronic Disease, Management, Rural Areas.
Language: Английский
Citations
0
Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 1828 - 1854
Published: Aug. 23, 2024
The integration of artificial intelligence (AI) in healthcare has the potential to revolutionize early diagnosis chronic diseases, particularly rural areas where resources are often limited. This paper explores transformative impact AI technologies on identifying diseases at their earliest stages, enhancing patient outcomes, and alleviating burden systems. AI's ability analyze vast amounts data rapidly accurately enables detection such as diabetes, hypertension, cardiovascular conditions. Machine learning algorithms can process from various sources, including electronic health records (EHRs), wearable devices, diagnostic imaging, identify patterns biomarkers indicative disease onset. predictive capability allows providers intervene sooner, potentially preventing progression reducing long-term costs. In areas, access specialized medical expertise advanced tools is constrained, AI-driven offer a significant advantage. Telemedicine platforms integrated with facilitate remote consultations, assists interpreting providing suggestions. approach not only expands quality but also empowers local decision-support tools, improving accuracy management. Moreover, help mitigate challenges limited personnel regions by automating routine tasks enabling workers focus more complex cases. For instance, AI-powered imaging analysis quickly screen large populations for signs flagging suspicious cases further review professionals. deployment settings fosters continuous monitoring personalized care through connected devices. These devices collect real-time data, which systems provide actionable insights alerts both patients providers. proactive ensures timely interventions enhances adherence treatment plans. conclusion, into significantly improves offering scalable solution address disparities outcomes between urban populations. Continued investment infrastructure, along targeted training providers, essential realize full transforming life millions. Keywords: AI, Impact, Early Diagnostic, Chronic Disease, Rural Areas.
Language: Английский
Citations
0