Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 438 - 449
Published: Jan. 1, 2024
Language: Английский
Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 513 - 534
Published: Jan. 17, 2025
This chapter examines the transformative potential of combining Generative AI with Internet Medical Things (IoMT) in healthcare. IoMT's capacity to empower ceaseless wellbeing observing and ongoing information assortment, joined man-made intelligence's high-level prescient logical power, guarantees huge progressions diagnostics, patient administration, customized medication. The focuses on case studies that demonstrate improved healthcare delivery outcomes as it novel applications these technologies. Be may, additionally addresses basic difficulties like security, moral situations, including insurance, algorithmic predisposition, independence. Systems for beating hindrances, particularly asset compelled settings, are talked about, accentuating requirement hearty structures administrative approaches.
Language: Английский
Citations
5
IET Blockchain, Journal Year: 2023, Volume and Issue: 4(3), P. 252 - 262
Published: Nov. 17, 2023
Abstract The modern world has its foundation built on data. Data is generated all the time, and many aspects of society economy are upon it. In today's world, data employed in better decision‐making, innovation, improving efficiency systems. It becomes essential to protect it from being tampered with or misused. Encryptions based cryptographic systems used mainstream protection these days. There have been newer iterations mechanisms new techniques using blockchain zero trust model even that employ fog computing along content delivery networks. advent computation through quantum technologies also helped developing security post‐quantum mechanisms. critical conditions for working hinder their adoption primarily. This leads current lack one more technologies. Thus, importance a unified system can effectively prominent requires definitive investigation. this article, Quantum‐IoT‐based scheme be value Industry 4.0 analyzed. Light shed innovations help solve not just problems but future.
Language: Английский
Citations
17
International Journal of Safety and Security Engineering, Journal Year: 2024, Volume and Issue: 14(3), P. 875 - 883
Published: June 24, 2024
This study investigates the synergy between Classical Machine Learning (CML) and Quantum (QML) in analyzing security datasets, conducting a comparative analysis using models based on QML CML to evaluate their performance as data sizes iteration counts increase.The author, specifically, employs popular machine learning methods, including Support Vector Machines (SVM), Neural Networks (NN), Logistic Regression (LR), assess these techniques real-world such network intrusion detection malware classification logs.The primary focus is determining effectiveness efficiency of approaches handling large-scale data.Through rigorous experimentation, highlights benefits drawbacks both CML, indicating that while offers significant speedups processing times for large datasets due quantum parallelism, it faces challenges terms hardware accessibility noise sensitivity, though slower with massive data, benefit from mature algorithms more robust infrastructure.The outcomes provide critical insights into practicality applying security-related applications, demonstrating can outperform specific scenarios, real-time threat detection, superior computational efficiency.However, current limitations suggest remains practical many applications short term.This work significantly advances state art Learning.It vital guidance practitioners researchers analysis, underscoring potential revolutionize acknowledging ongoing need advancements computing technology.
Language: Английский
Citations
6
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: May 4, 2024
Abstract In modern healthcare, integrating Artificial Intelligence (AI) and Internet of Medical Things (IoMT) is highly beneficial has made it possible to effectively control disease using networks interconnected sensors worn by individuals. The purpose this work develop an AI-IoMT framework for identifying several chronic diseases form the patients’ medical record. For that, Deep Auto-Optimized Collaborative Learning (DACL) Model, a brand-new framework, been developed rapid diagnosis like heart disease, diabetes, stroke. Then, Auto-Encoder Model (DAEM) used in proposed formulate imputed preprocessed data determining fields characteristics or information that are lacking. To speed up classification training testing, Golden Flower Search (GFS) approach then utilized choose best features from data. addition, cutting-edge Bias Integrated GAN (ColBGaN) model created precisely recognizing classifying types records patients. loss function optimally estimated during Water Drop Optimization (WDO) technique, reducing classifier’s error rate. Using some well-known benchmarking datasets performance measures, DACL’s effectiveness efficiency evaluated compared.
Language: Английский
Citations
5
Frontiers in Big Data, Journal Year: 2024, Volume and Issue: 7
Published: Dec. 5, 2024
The rapid escalation of cyber threats necessitates innovative strategies to enhance cybersecurity and privacy measures. Artificial Intelligence (AI) has emerged as a promising tool poised the effectiveness by offering advanced capabilities for intrusion detection, malware classification, preservation. However, this work addresses significant lack comprehensive synthesis AI's use in across vast literature, aiming identify existing gaps guide further progress.
Language: Английский
Citations
5
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 185 - 194
Published: Jan. 1, 2025
Language: Английский
Citations
0
Optical and Quantum Electronics, Journal Year: 2024, Volume and Issue: 56(4)
Published: Jan. 30, 2024
Language: Английский
Citations
3
International Journal of Information Security, Journal Year: 2024, Volume and Issue: 24(1)
Published: Dec. 14, 2024
Abstract System Security Assurance (SSA) has emerged as a critical methodology for organizations to verify the trustworthiness of their systems by evaluating security measures against industry standards, legal requirements, and best practices identify any weakness demonstrate compliance. In recent years, role Artificial Intelligence (AI) in enhancing cybersecurity received increased attention, with an increasing number literature reviews highlighting its diverse applications. However, there remains significant gap comprehensive that specifically address integration AI within SSA frameworks. This systematic review seeks fill this research assessing current state SSA, identifying key areas where contributes improve processes, limitations methodologies, providing guidance future advancements field AI-driven SSA.
Language: Английский
Citations
3
Mathematical Biosciences & Engineering, Journal Year: 2023, Volume and Issue: 21(1), P. 650 - 678
Published: Jan. 1, 2023
<abstract><p>In recent years, the growing pervasiveness of wearable technology has created new opportunities for medical and emergency rescue operations to protect users' health safety, such as cost-effective solutions, more convenient healthcare quick hospital treatments, which make it easier Internet Medical Things (IoMT) evolve. The study first presents an overview IoMT before introducing architecture. Later, portrays core technologies IoMT, including cloud computing, big data artificial intelligence, elucidates their utilization within system. Further, several emerging challenges, cost-effectiveness, security, privacy, accuracy power consumption, are discussed, potential solutions these challenges also suggested.</p></abstract>
Language: Английский
Citations
7
Sensors, Journal Year: 2023, Volume and Issue: 23(19), P. 8107 - 8107
Published: Sept. 27, 2023
The “Internet-of-Medical-Vehicles (IOMV)” is one of the special applications Internet Things resulting from combining connected healthcare and vehicles. As IOMV communicates with a variety networks along its travel path, it incurs various security risks due to sophisticated cyber-attacks. This can endanger onboard patient’s life. So, critical understand subjects related “cybersecurity” in develop robust cybersecurity measures. In this paper, goal evaluate recent trends state-of-the-art publications, gaps, future outlooks research area. With aim, publications between 2016 2023 “Web-of-Science” “Scopus” databases were analysed. Our analysis revealed that niche unexplored area few defined standards frameworks, there great need implement paper will help researchers gain comprehensive idea topic, as presents an top journals highly cited papers, their challenges limitations, system model architecture IOMV, applicable standards, potential cyber-attacks, factors causing risks, artificial intelligence techniques for developing countermeasures, assessment parameterisation constraints challenges, implementing measures IOMV.
Language: Английский
Citations
6