Healthcare Security Research Articles

Homomorphic Encryption and Collaborative Machine Learning for Secure Healthcare Analytics

Homomorphic Encryption and Collaborative Machine Learning for Secure Healthcare Analytics

Smart Agriculture-Based Food Quality Analysis with Healthcare Security System Using Cloud Machine Learning Model

Smart Agriculture-Based Food Quality Analysis with Healthcare Security System Using Cloud Machine Learning Model

A Unification of Fog-Cloud Computing for Data Agitation and Guard Intensification in Industrial Health Care Security

The development of Fog computing is a decentralized environment in which the data processing, storage and applications are processed between the located server in a cloud environment. By increasing the Internet of things (IoT) and remote storage, the communication in cloud become more sophisticated by processing the data safely and securely. Healthcare data is important which contains medical information and processed centrality in the public environment through IoT, due to increasing security breaches they need to protect depends on the security applicants. All over the centralized data computing are accessed by virtual environment through remote protocol doesn’t provide safety in healthcare industry. To resolve this problem, to propose as Unification of fog-cloud computing for data agitation and guard intensification (DA-GI) in Industrial Health Care Security. The Medical Data Health-Care (MDHC) records are stored in Cloud datacenters and the Fog layer based on the guard intensity and the key is provoked for ingress the file. The activity logs are controlled and monitoring from cloud serves sustains the Activity Log, Risk Table and Health Records. To introduce a cryptographic approach based on advanced encryption standards (AES) to protect data and authenticity verification server. The key verification process based on security gateway, Fog cloud server depends on user access rights provided to the user. During the key validation, role of permission to the user s verified and agitate to allow access rights to the verified service access. The proposed system produce high security compared to the other system as well in all security concerns of role, authentication and verification to process data safely.

Blockchain-Based Secured Drug Traceability in Health Care Application

Despite the enormous advancements in technology, fraudsters continue to attack the healthcare industry. Numerous recent healthcare security breaches indicate that attackers are focussing on the electronic health data and the drug supply chain. Additional investigation into security problems in the healthcare sector demonstrates that the primary cause of these incidents is the centralisation of data storage. The healthcare sector also lacks immutability, adaptability, security, and privacy in addition to having insufficient documentation. It has been discovered that blockchain technology may offer a complete solution to the main issues the healthcare industry is now facing. Healthcare issues may be resolved with the aid of blockchain's intrinsic qualities, which include immutability, transparency, privacy, security, and documentation. In this work, an interactive blockchain 2.0 medication supply chain tracking system is created, and Hyperledger Calliper is used to measure the system's performance. This system makes sure that everyone involved in the drug supply chain can follow the drug's journey from the producer to the end user. The members' own inventory management is also aided by it. In addition to providing privacy and transparency, this method offers a viable remedy for the issues associated with counterfeit drugs. With one ordered peer and one endorsed peer, the system can process 25,000 transactions per second.

Enhancing Public Healthcare Security: Integrating Cutting-Edge Technologies into Social Medical Systems

To reduce the negative effects of digitization, normative advice in international human rights legislation incorporates digital health into ethical and human rights frameworks. The use of digital health technology for universal health coverage (UHC) is acknowledged to have benefits, but its implementation must be based on respect for human rights, equity, and ethics, as well as upholding norms of acceptable quality, safety, and morality. The WHA acknowledged the necessity to use digital health technologies in the wake of the COVID-19 pandemic in 2020, but stressed that in doing so, they must "pay particular attention to digital inclusion, patient empowerment, data privacy and security, legal and ethical issues, and the protection of personal data." This paper's goal is to critically assess the proposed legislative framework and policy that regulate digital health technologies in India, as well as the implementation of digital health.

Secure Healthcare Data Storage and Transmission: A Review of Current Technologies and Future Directions

The development of websites, applications, and the first social networks profoundly altered everyone's life and became the catalyst for advancement on a global scale. The days of immovable points, phones, and printing presses are long gone. But is everything really as perfect as it looks? Perhaps the most contentious thing in history is progress. We now have the freedom to express our ideas without fear, connect with individuals around the globe, and access a seemingly limitless amount of knowledge thanks to the Internet. But as time goes on, concerns about the cloudlessness of virtual existence become more and more prevalent; we have been captured by things that do not exist in reality. Apart from the well-known hazards like terrorism and global warming, the growth of the Internet has given rise to entirely unknown and novel perils that have infiltrated our life. We refer to this phenomena as "cybercrime". Any form of criminal activity carried out virtually is referred to as cybercrime. Ten to twenty years ago, this phenomena was known only to specialised specialists. IT industry, and it is currently a worldwide issue. Although everyone and the IT sector receive adequate security measures and equipment, cybercrime is nevertheless increasing at a very rapid pace in parallel. There are several security problems and cyberthreats in the modern world. With new technology emerging daily, we can predict major issues in the road. In this work a Secure Healthcare Data Storage and Transmission in WAN area is discussed.

IMIH: Imperceptible Medical Image Hiding for Secure Healthcare

IMIH: Imperceptible Medical Image Hiding for Secure Healthcare

A Unified Framework for Secure Healthcare Data Sharing: Integrating Federated Learning, Blockchain, and Quantum Cryptography

A Unified Framework for Secure Healthcare Data Sharing: Integrating Federated Learning, Blockchain, and Quantum Cryptography

CICIoMT2024: A benchmark dataset for multi-protocol security assessment in IoMT

The Internet of Things (IoT) is increasingly integrated into daily life, particularly in healthcare, through the Internet of Medical Things (IoMT). IoMT devices support services like continuous health monitoring but raise significant cybersecurity concerns due to their vulnerability to various attacks. The complexity and data volume of IoMT network traffic requires advanced methods to enhance security and reliability. Machine Learning (ML) offers techniques to detect, prevent, and mitigate cyberattacks. However, existing benchmark datasets lack essential features for robust IoMT security solutions, such as a reduced number of real devices, a limited variety of attacks, and a lack of extensive profiling. We propose a realistic benchmark dataset for IoMT security solutions development and evaluation to address these gaps. We executed 18 attacks on an IoMT testbed with 40 devices (25 real and 15 simulated), using protocols like Wi-Fi, MQTT, and Bluetooth. Supporting technologies, including dedicated network traffic collectors and a Faraday Cage, ensured data quality. The attacks fall into five categories: DDoS, DoS, Recon, MQTT, and spoofing. We aim to establish a baseline that complements existing datasets, aiding researchers in creating secure healthcare systems using ML. Beyond simulating attacks, we capture the lifecycle of IoMT devices from network entry to exit through profiling, allowing classifiers to identify device anomalies. The resulting CICIoMT2024 dataset, published on the CIC dataset page, demonstrates that various methods can classify IoMT cyberattacks. This effort supports new IoMT security solutions and contributes to the broader field of cybersecurity in healthcare, ensuring more reliable IoMT device deployment.

Policy Brief – Survivorship is cancer survivorship the poor cousin of cancer control within the EBCP?

BackgroundThere is an increasing number of cancer survivors, including children, adolescents, young adults, individuals of working age, and the elderly, within the Belgian and European population. Yet, survivorship care and rehabilitation are often treated as an afterthought in care organisation. This not only directly affects the quality of life of survivors and carers, but also puts the sustainability of the healthcare and social security systems at risk.MethodsWe analysed the ongoing Europe Beating Cancer Plan (EBCP) to identify the actions supporting survivorship (care) developments, then compared their weight in the EBCP to the other domains of cancer control. Following this analysis, and comparison with related ongoing projects, and current infrastructure in Belgium, several unmet needs were identified.ConclusionTo better address these unmet needs, we recommend that Belgium incorporates survivorship care and long-term follow-up in clinical guidelines and care pathways, and considers including indicators related to cancer survivorship in the planning and design of quality insurance schemes, including certification of comprehensive cancer centres. Furthermore, we suggest further investment and support for research and knowledge exchange in the field of survivorship.

Enhancing security for smart healthcare in wireless body area networks using a novel adversarial detection using ACR BiLSTM with multi-batch stochastic gradient descent

Enhancing security for smart healthcare in wireless body area networks using a novel adversarial detection using ACR BiLSTM with multi-batch stochastic gradient descent

Retraction Note: Securing health care data through blockchain enabled collaborative machine learning

Retraction Note: Securing health care data through blockchain enabled collaborative machine learning

Facile SILAR deposited SnS/NiS vertical heterojunction for high performance flexible broadband photodetector

Low-cost, flexible broadband photodetectors fabricated from two-dimensional transition metal chalcogenides have garnered attention because of their excellent absorption coefficient and photoconductivity. Likewise, vertical heterojunctions fabricated from two two-dimensional (2D) transition metal chalcogenides (TMCs) also have drawn major curiosity lately owing to their superior optical performance. This work reports a p-p type II vertical Van der Waal's heterojunction structure by depositing thin film of NiS over SnS on a flexible paper substrate. Morphological and structural characterization confirms presence of a rhombohedral β-NiS crystal structure along with traces of Ni(OH)2 on orthorhombic SnS nanoparticles. The device fabrication method made use of the inexpensive, clean room free SILAR (Successive Ionic Layer Adsorption and Reaction) technique. A purposeful modification of narrow bandgap property of NiS is done by depositing it in an alkaline environment. The fabricated device records optical responsivity of 0.92 mA/W under UV illumination, 5.32 mA/W under Visible illumination, and 0.8 mA/W under NIR illumination. A maximum EQE of 1.3 % is observed along with superior response times of 0.114 s (UV),0.103 s (Visible) and 1.34 s (NIR). The acquired photo response is due to superior absorption property of NiS in UV region and SnS in the visible and NIR region. The difference in fermi level between two materials causes efficient separation of the charge carriers that results in junctional electric field upon light illumination. The device underwent flexibility testing and shown exceptional resistance to bending force making it suitable for numerous applications like wearable healthcare monitoring, security purposes and flexible image sensors.

(Invited) Smartphone-Based Nanosensors for Environmental, Food Safety, and Health Monitoring

: Biosensors are a modern engineering marvel with widespread applications across diverse areas, including healthcare, environmental monitoring, microbiology, and food safety and security. The integration of nanotechnology with biosensor technology has led to novel sensing mechanisms, significantly enhancing performance and sensing capabilities beyond the constraints of traditional methods. In our laboratory, several nanotechnology-enabled biosensors have been developed to overcome the limitations of current bioanalytical methods, particularly in terms of sensitivity, throughput, ease-of-use, and miniaturization. We have synthesized various innovative nanomaterials, such as protein cages, single-atom nanozymes, and mesoporous bimetal nanoparticles. These materials have been crucial in the fabrication of 3D printed nano-immunosensors, which are effective in detecting pesticides, food pathogens, and exposure biomarkers.My research specifically focuses on the development of nanotechnology-enhanced biosensors that leverage these novel nanomaterials. This endeavor aims to revolutionize biosensor fabrication, with a particular emphasis on creating new, handheld devices. These devices are designed for rapid, on-site detection of molecules, offering immense potential for point-of-care diagnostics. The integration of these biosensors with smartphone technology has further opened avenues for real-time data analysis and sharing, making them invaluable tools for environmental, food safety, and health monitoring. This talk will delve into the specifics of these developments, highlighting the innovative approaches and potential impacts of smartphone-based nanosensors in various sectors.

Informal Employment and High Burden of Out-of-Pocket Healthcare Payments among Older Workers: Evidence from Longitudinal Ageing Study in India.

India's economy is among the fastest growing in the world. However, a large share of informal workforce is a common characteristic of country's economy, comprises a significant portion of most of its labour markets. This workforce often receives low wages and lacks benefits such as strong social security and health coverage for all. The majority of healthcare spending in India is private. As India's population ages and the informal sector expands, it is expected that many of these workers will continue to work beyond the retirement age to bear their own healthcare costs due to lack of savings, pensions and the precarious nature of their employment. In this context, this study estimates the burden of Out-of-Pocket (OOP) payments on India's informal older workers compared to their formal counterparts, using data from the first wave of the nationally representative Longitudinal Ageing Study in India. According to estimates from the Two-part regression model, informal older workers pay, on an average, INR 1113 (p<0.01) and INR 55 (p<0.05) less than their formal counterparts for inpatient and outpatient care, respectively. However, probit regression models revealed that the burden of combined (both inpatient and outpatient) OOP payments exceeding (by 40%, 20%, and 10%) of their income is significantly higher among informal older workers compared to formal older workers. The study underscores the need for strengthening of universal health insurance schemes to ensure everyone has access to medical services without experiencing financial hardship. It also advocates for policies specifically tailored towards informal workers, considering their unique challenges with regard to livelihoods and healthcare security. In particular, this encompasses bolstering the existing social security and healthcare system, and related policies for ensuring financial security against OOP payments, especially for informal workers and all the population in general.

Unraveling the effects of DIP payment reform on inpatient healthcare: insights into impacts and challenges

BackgroundThe Diagnosis-Intervention Packet (DIP) payment system, initiated by China's National Healthcare Security Administration, is designed to enhance healthcare efficiency and manage rising healthcare costs. This study aims to evaluate the impact of the DIP payment reform on inpatient care in a specialized obstetrics and gynecology hospital, with a focus on its implications for various patient groups.MethodsTo assess the DIP policy's effects, we employed the Difference-in-Differences (DID) approach. This method was used to analyze changes in total hospital costs and Length of Stay (LOS) across different patient groups, particularly within select DIP categories. The study involved a comprehensive examination of the DIP policy's influence pre- and post-implementation.ResultsOur findings indicate that the implementation of the DIP policy led to a significant increase in both total costs and LOS for the insured group relative to the self-paying group. The study further identified variations within DIP groups both before and after the reform. In-depth analysis of specific disease groups revealed that the insured group experienced notably higher total costs and LOS compared to the self-paying group.ConclusionsThe DIP reform has led to several challenges, including upcoding and diagnostic ambiguity, because of the pursuit of higher reimbursements. These findings underscore the necessity for continuous improvement of the DIP payment system to effectively tackle these challenges and optimize healthcare delivery and cost management.

Blockchain-Inspired Lightweight Dynamic Encryption Schemes for a Secure Health Care Information Exchange System

Blockchain-Inspired Lightweight Dynamic Encryption Schemes for a Secure Health Care Information Exchange System

Blockchain-enabled EHR access auditing: Enhancing healthcare data security

In the realm of modern healthcare, Electronic Health Records EHR serve as invaluable assets, yet they also pose significant security challenges. The absence of EHR access auditing mechanisms, which includes the EHR audit trails, results in accountability gaps and magnifies security vulnerabilities. This situation effectively paves the way for unauthorized data alterations to occur without detection or consequences. Inadequate EHR compliance auditing procedures, particularly in verifying and validating access control policies, expose healthcare organizations to risks such as data breaches, and unauthorized data usage. These vulnerabilities result from unchecked unauthorized access activities. Additionally, the absence of EHR audit logs complicates investigations, weakens proactive security measures, and raises concerns to put healthcare institutions at risk. This study addresses the pressing need for robust EHR auditing systems designed to scrutinize access to EHR data, encompassing who accesses it, when, and for what purpose. Our research delves into the complex field of EHR auditing, which includes establishing an immutable audit trail to enhance data security through blockchain technology. We also integrate Purpose-Based Access Control (PBAC) alongside smart contracts to strengthen compliance auditing by validating access legitimacy and reducing unauthorized entries. Our contributions encompass the creation of audit trail of EHR access, compliance auditing via PBAC policy verification, the generation of audit logs, and the derivation of data-driven insights, fortifying EHR access security.

Adoption of blockchain to develop a deployable secure healthcare solution: An analysis

Adoption of blockchain to develop a deployable secure healthcare solution: An analysis

THE IMPACT OF SOCIO-ECONOMIC FACTORS AND INEQUALITIES ON LABOUR MARKET OPPORTUNITIES

In both developing and developed countries of the world, including Hungary, there are significant inequalities in both health status and the spatial distribution of the health system. Regional inequalities are a major challenge, as areas and regions that are disadvantaged are less able to develop and the people living there have fewer opportunities for economic advancement and better living conditions. Widely discussed in the literature that socio-economic status has a significant impact on the health status of a society. Economic and territorial disparities can be found within a municipality, a county, a region, a country, or even across Europe. In our study, we examine territorial and social inequalities in Hungary, with a special focus on economic, educational and health inequalities. We wanted to answer the question of how these factors might affect the lifestyle and labour market opportunities of the population. In this study, we use data from various sources and databases to illustrate the socio-economic differences and their effects in different regions. Research shows that the demographic situation, together with the ageing of societies, has a significant impact on countries' social security systems, pension systems and health care. Projections in the more advanced EU Member States show an increase in the proportion of people aged eighty-five and over by 2020. Higher educational attainment enhances an individual's social skills, abilities and capabilities and promotes a healthier lifestyle by managing risks more consciously. Various surveys show that only 50% of high school graduates rate their health as good or particularly good, while for those with tertiary education the figure is close to 75%. There is a direct correlation between income and health status. In poor countries in particular, there is a clear link between income levels and mortality rates. Higher income is often associated with better health. In most EU countries, poor people are much more likely to have poor or extremely poor health.