Secure Platform Research Articles

LIFU/MMP-2 dual-responsive release of repurposed drug disulfiram from nanodroplets for inhibiting vasculogenic mimicry and lung metastasis in triple-negative breast cancer

BackgroundVasculogenic mimicry (VM), when microvascular channels are formed by cancer cells independent of endothelial cells, often occurs in deep hypoxic areas of tumors and contributes to the aggressiveness and metastasis of triple-negative breast cancer (TNBC) cells. However, well-developed VM inhibitors exhibit inadequate efficacy due to their low drug utilization rate and limited deep penetration. Thus, a cost-effective VM inhibition strategy needs to be designed for TNBC treatment.ResultsHerein, we designed a low-intensity focused ultrasound (LIFU) and matrix metalloproteinase-2 (MMP-2) dual-responsive nanoplatform termed PFP@PDM-PEG for the cost-effective and efficient utilization of the drug disulfiram (DSF) as a VM inhibitor. The PFP@PDM-PEG nanodroplets effectively penetrated tumors and exhibited substantial accumulation facilitated by PEG deshielding in a LIFU-mediated and MMP-2-sensitive manner. Furthermore, upon exposure to LIFU irradiation, DSF was released controllably under ultrasound imaging guidance. This secure and controllable dual-response DSF delivery platform reduced VM formation by inhibiting COL1/pro-MMP-2 activity, thereby significantly inhibiting tumor progression and metastasis.ConclusionsConsidering the safety of the raw materials, controlled treatment process, and reliable repurposing of DSF, this dual-responsive nanoplatform represents a novel and effective VM-based therapeutic strategy for TNBC in clinical settings.Graphical

Enhancing smart city operation management: Integrating energy systems with a subway synergism hub

This paper is centered on establishing a secure framework for the optimal concurrent operation of a smart city, encompassing transportation, water, heat, electrical, and cooling energy systems. The studied smart city includes the microgrid, smart transportation system (STS), energy hub (EH) and smart grid. In this regard, a subway synergism hub (SSH) as a new non-energy system is added to the smart city with the aim of serving the subway's water, heat, electrical and cooling demands as well as diminishing the operation cost of the smart city. The EH within the SSH cooperated with a desalination unit is considered to supply the subway's stations water demand by using the sea water. The investigation of the optimal allocation of the SSH unit for reducing the cost of smart city operation is also conducted by introducing a novel intelligent priority selection (IPS) analytical algorithm. In comparison to common meta-heuristic algorithms for allocation problems, the accurate optimal solution can be found in low runtime by the IPS algorithm. To achieve an accurate model of the smart city, directed acyclic graph (DAG) based blockchain approach is provided which can enhance the data and energy exchanges security within the smart city. This research paper introduces a security framework deployed in a smart city setting to establish a secure platform for energy transactions. The findings validate the effectiveness of this model and highlight the value of the IPS method. The effectiveness of the suggested approach has been assessed using the smart city system is comprised of various sections, including EVs, smart grid, microgrid, and SSH, demonstrating the credibility and accuracy of this study.

Implementation of Smart KYC using Blockchain

The know your customer or know your client (KYC) is a guideline for the banking system to validate a customer using identity, appropriateness, risk assessment in establishing a banking relationship. With the growing concern of security, the KYC process is complex and involves a high cost for completing for a single customer. In this work, we propose an economical, swift, secure, and transparent platform for KYC document verification for the Banking system through InterPlanetary File System (IPFS) and blockchain technology. The proposed system allows a customer to open an account at one Bank, complete the KYC process there, and generate a hash value using the IPFS network and share it using the blockchain technique. Upon receiving the private key, any Bank/financial organization can retrieve, store customer data (i.e., KYC) securely using IPFS network if the customer wishes to open another account in that Bank/financial organization. The proposed system can save time, money, and repetitive work during the KYC process when someone tries to open an account at multiple Banks

Securing Document Exchange with Blockchain Technology: A New Paradigm for Information Sharing

The rapid digitization of information sharing and document exchange in various sectors, including healthcare, finance, and governmental services, has underscored the critical need for robust security mechanisms. Traditional methods often fall short in ensuring the confidentiality, integrity, and availability of shared documents, leading to vulnerabilities in data privacy and security. This research paper introduces a groundbreaking approach to secure document exchange by leveraging the inherent properties of blockchain technology. Through a comprehensive analysis, we explore how blockchain's decentralized nature, cryptographic security, and immutability can be harnessed to create a secure and efficient platform for information sharing. We begin by delineating the current challenges in document exchange systems, such as susceptibility to cyber-attacks, fraud, and unauthorized access. Subsequently, we propose a blockchain-based framework that addresses these issues by enabling transparent and tamper-proof transactions, ensuring data integrity, and facilitating secure access control. Our methodology includes the development of a prototype system that employs smart contracts for automating and securing document exchange processes. Through rigorous testing and evaluation, we demonstrate the system's ability to withstand various security threats, including data breaches and interception attacks.

A review of distributed ledger technologies application in medical systems interoperability

This study of the literature delves into the complex area of medical systems interoperability, focusing on mitigating variables that impact security and data transfer at the structural and semantic levels. In the era of digital healthcare, the secure sharing of medical data is crucial, and this study looks at how Distributed Ledger Technologies (DLTs) can play a major role in addressing these challenges. Complex interoperability issues that come from differences in communication protocols, data formats, established data structures, data models, and data meaning and codification methodologies face the healthcare industry. These problems typically impede the seamless transmission of electronic medical records between healthcare systems. Because of their decentralized structure and cryptographic foundation, DLTs offer a workable solution to these issues. By critically evaluating previous research and case studies, DLTs may be able to lessen these interoperability issues, as this literature review illustrates. Since DLTs provide an immutable and secure platform for the transmission of medical data, guaranteeing data integrity and confidentiality, they are a natural fit for the sensitive nature of healthcare data. Their importance in creating safe communication protocols, enhancing the meaning of data, and defining models and formats for data is emphasized in this review. A comprehensive architecture for DLT interoperability in healthcare is also recommended by the research. This framework encourages the development of DLT integration, shared data models, standardized data formats, and governance and policy. By implementing this strategy and strengthening secure medical data sharing, healthcare organizations and governments may increase the efficiency, precision, and speed of healthcare delivery. The crucial role that DLTs play in removing the structural and semantic barriers to safe medical systems interoperability is highlighted in the conclusion of this literature review. By adopting DLTs, the healthcare sector may usher in a new era of standardized, safe, and efficient medical data transmission, which will ultimately benefit both patients and healthcare providers. This study shows how distributed ledger technologies (DLTs) have the potential to revolutionize the healthcare industry by enabling the secure and meaningful exchange of medical data between different systems, thereby improving patient care and healthcare outcomes.

A BPSO based collaborative management platform for multi-source data security in power grids

By designing a digital power grid multi-source data security collaborative management platform, the system configuration problem of the OMS system and the power grid management platform for the main distribution network of the power grid is solved. A design method for the digital power grid multi-source data security collaborative management platform based on discrete particle swarm optimization algorithm is proposed. Based on the design concept of SOA, realize the overall design framework of the platform according to the design method of multi-layer technical system in the business presentation layer, business process and composition layer, service layer, component layer and resource layer, realize the basic layer design of the system management platform through the basic application platform design scheme of XML configuration, implement the query, processing and output representation of the grid’s multivariate data using B/S architecture protocol, and use the Spring Framework The platform software architecture is implemented using J2EE technology and multi module component design scheme. The discrete particle swarm optimization algorithm is used for the fusion and scheduling of multi-source data in the digital power grid. The interface design and functional construction of the power grid management platform are implemented in the OMS system of the power grid main distribution network, and the logical model of the transformation project is constructed to achieve platform optimization and construction. Tests have shown that the designed digital power grid multi-source data security collaborative management platform has good human-machine interaction, strong data fusion scheduling ability, reduced resource and subsystem coupling, and supports the flexibility of physical deployment and maintenance.

Database Access Information Security Management Simulation under Big Data Platform

When people perform database access information security management, the traditional method cannot accurately verify the identity of the visitor, the credibility of the identity information, and the security management of the access information. With the widespread application of big data technology, the amount of data in databases is rapidly increasing, which brings new challenges to information security management. The main purpose of this study is to explore how to more effectively manage the security of database access information on big data platforms. Therefore, the trusted computing platform is established to implement database access information security management under the data platform. The method determines the user behavior is credible by establishing a behavior chain of behavior based on the user identity and measuring user operation behavior. For the user's private data, the encryption/decryption module is used for security protection, preventing data from being leaked through illegal copying. A trusted metric model based on the USB Key user identity is established and a trusted platform is established. By improving the ELGamal algorithm, the IMC/IMV metrics architecture is utilized to measure platform security attributes. In the first round of anonymous authentication, the identity authentication of the platform is completely completed, and the database access information security management under the big data platform is completed. The simulation results show that in 10 experiments, the transmission time delay of TCP/IP protocol is less than 200ms, and the security of database access information is enhanced after the encryption system is established in the database. This has certain theoretical enlightenment for the improvement of database security and the optimization of information security management.

Design and Implementation of a Primary Healthcare Cloud Platform

This paper presents the design and implementation of a primary healthcare cloud platform that aims to optimize primary medical services through informatization. The cloud platform integrates multiple functional modules including patient information management, diagnostic and treatment processes, pharmaceutical inventory, online appointments, financial management, and data analysis to meet the daily operational needs of primary healthcare institutions. Starting with the project background and current situation analysis, the paper details user needs research and functional design, and gives key discussions on the selection of system architecture and critical technology modules. During system development, technologies such as Spring Boot, Spring Cloud, and MySQL were used to build an efficient, stable, and secure platform. The system's reliability was ensured through unit testing, integration testing, system testing, and user acceptance testing. The paper concludes with a look into the future development direction of the platform, including further optimization of user experience, introduction of natural language processing and artificial intelligence technologies, and expansion of collaborative functions between primary healthcare institutions.

Framework For Performance Management, ICT-Based Digitalization in A Higher Education Institution

By improving teaching and learning, research, and governance, digital technology has altered the educational landscape in academic institutions. Adequate infrastructure, improved internet access, modern digital tools, a secure platform, and professionals with digital competency are all critically needed. Higher education institutions in India are clearly visible from the growing usage of ICT, cloud computing, AI, robotics, and virtual reality in daily operations, which improves competencies and aids in skill alignment with industry-based knowledge. Teaching in a regular classroom is becoming obsolete. The way that education is delivered has changed dramatically since the advent of technology. It provides the freedom for students to access learning at any time or location they want. The lines that were once drawn by understudies and educators being available in a similar spot simultaneously have likewise become more foggy because of education turning out to be more computerized. In the past ten years, internet and remote learning have grown in popularity in India. With the majority of the country now having access to digital technology, online learning courses are becoming more and more popular. Besides, understudy evaluation through digitalization technology is currently a chance on the grounds that to the improvement of learning management systems (LMS). Outside of the classroom, students can socialize with their peers. The pupils' soft skills have also been guided by the peer-centered learning component. LMS would enhance student evaluation and the teaching process.

Multiple Authentication Schemes for Sign-In Process

Abstract: In the ever-evolving landscape of digital applications, user authentication plays a vital role in ensuring data security and privacy. Traditional username-password authentication methods may not always suffice, leading to the need for "Alternate Sign-In Methods." This project aims to develop a robust and user-friendly authentication system using advanced Machine Learning (ML) techniques. The system's primary objective is to offer users multiple authentication options beyond the conventional methods, such as Image Authentication, Pattern-based Authentication, Username-Password Authentication, and Fingerprint-based Authentication. Content-based filtering and collaborative filtering approaches will be employed to ensure efficient and relevant authentication options for each user. The project focuses on enhancing user convenience, security, and overall experience in digital platforms by tailoring sign-in methods to individual preferences.

Perception of the Impact of Digital Wallets, Mobile Payments, and Contactless Payment Technologies among the Senior Citizens Residing in Bangalore in Regards to Purchases, Travel, and Household Expenses

This research delves into the adoption of digital payment technologies—digital wallets, mobile payments, and contactless methods—among senior citizens in Bangalore, India, within the context of a rapidly digitalizing economy. Despite the potential of these technologies for enhanced financial accessibility, their impact on the elderly, a group often overlooked in tech discussions, is not well understood. The study, targeting seniors aged 50 and above through a questionnaire-based approach, aims to fill this gap by examining their perceptions, challenges, and adoption rates, thereby offering insights into their integration into everyday financial activities. With 100 participants surveyed, the research uncovers a growing interest in digital payments among seniors, albeit with significant adoption variances. Key factors influencing acceptance include ease of use, security, and financial independence potential, while notable barriers encompass technological unfamiliarity and security concerns, indicating the need for more accessible, senior-friendly digital payment solutions. The findings show a balanced gender distribution among participants, primarily in the early stages of seniority (50–60 years), and a middle-income concentration, suggesting a ripe demographic for digital payment initiatives but also revealing sporadic digital payment use due to technological and security hurdles. In conclusion, the study highlights the necessity of developing inclusive, secure, and user-friendly digital payment platforms for seniors, urging a collaborative effort among policymakers, tech developers, and the community to boost seniors' financial autonomy and inclusion. It offers valuable insights for tailoring tech innovations to better meet senior needs, contributing to a more inclusive digital financial ecosystem, and outlining actionable strategies for enhancing senior financial empowerment and confidence in the digital economy.

Conceptual framework for global protection against technology-enabled violence against women and girls

Technology-enabled violence against women and girls has emerged as a significant and complex issue in today's digital age. This form of violence, which includes cyberstalking, online harassment, and the non-consensual sharing of intimate images, poses serious threats to the safety, privacy, and well-being of women and girls worldwide. Addressing this issue requires a comprehensive and coordinated response that integrates legal, technological, and social interventions. This concept paper proposes a conceptual framework for global protection against technology-enabled violence against women and girls. The framework is based on a thorough review of existing literature, research, and best practices in the field, and aims to provide a roadmap for stakeholders to develop effective strategies and interventions to prevent and address this form of violence. The framework consists of the Legal Dimension which focuses on the legal frameworks and mechanisms needed to prevent and address technology-enabled violence against women and girls. It includes an analysis of existing laws and regulations, as well as recommendations for strengthening legal protections and ensuring accountability for perpetrators. The Technological Dimension explores the role of technology in both perpetrating and preventing violence against women and girls. It includes an examination of technological solutions, such as digital security tools and platforms, as well as ethical considerations related to technology development and use. The Social Dimension examines the social and cultural factors that contribute to technology-enabled violence against women and girls. It includes an analysis of gender norms, power dynamics, and social media dynamics that influence the prevalence and impact of this form of violence. The framework also includes strategies for implementing its recommendations at the global level, including advocacy efforts, capacity-building initiatives, and partnerships with governments, civil society organizations, and the private sector. It emphasizes the importance of multi-stakeholder collaboration in addressing this complex issue. Overall, the conceptual framework for global protection against technology-enabled violence against women and girls aims to provide a comprehensive and holistic approach to addressing this pressing global challenge. We hope that this framework will serve as a valuable resource for stakeholders working to create a safer and more inclusive digital environment for women and girls worldwide.

Computer security technology in E-commerce platform business model construction

The global e-commerce market is expanding rapidly as the big data era advances and the e-commerce industry thrives. This paper aims to discuss the application of computer security technology in constructing an e-commerce platform business model. The research aims to find effective security technology solutions to strengthen the security of e-commerce platforms, protect user information and rights, and enhance the sustainable development of business models. Big Data-assisted E-Commerce Business Model (BD-ECBM) construction is discussed to overcome the e-commerce platform issues and positively impact marketing strategy decision-makers by raising their level of awareness. The business decision-making process is a series of steps that help businesses overcome obstacles by collecting relevant data, analyzing all relevant alternatives, and settling on a course of action. Big data analytics can improve business management with data fusion technology in many ways. The system's framework of the information service layer, the application-level layer, and the client session layer was developed using the Business model paradigm for accounting for e-past, commerce's capabilities of the platform, and an analysis of supply and demand. It can monitor its rivals in near real-time, adjusting prices, offering more attractive deals, and analyzing negative customer comments to see if it can outperform its rivals. The trial results demonstrate the effectiveness of this method of making marketing decisions and formulating a strategy. Hence, the BD-ECBM technique improves customers' overall satisfaction and experience with the brand while raising the latter's profile.

Large-scale real-world data on a multidisciplinary approach to spinal cord stimulation for persistent spinal pain syndromes: first evaluation of the Neuro-Pain® nationwide screening and follow-up interactive register.

Spinal cord stimulation is a common treatment option for neuropathic pain conditions. Despite its extensive use and multiple technological evolutions, long term efficacy of spinal cord stimulation is debated. Most studies on spinal cord stimulation include a rather limited number of patients and/or follow-ups over a limited period. Therefore, there is an urgent need for real-world, long-term data. In 2018, the Belgian government initiated a nationwide secure platform for the follow-up of all new and existing spinal cord stimulation therapies. This is a unique approach used worldwide. Four years after the start of centralized recording, the first global extraction of data was performed. Herein, we present the findings, detailing the different steps in the centralized procedure, as well as the observed patient and treatment characteristics. Furthermore, we identified dropouts during the screening process, the reasons behind discontinuation, and the evolution of key indicators during the trial period. In addition, we obtained the first insights into the evolution of the clinical impact of permanent implants on the overall functioning and quality of life of patients in the long-term. Although these findings are the results of the first data extraction, some interesting conclusions can be drawn. The long-term outcomes of neuromodulation are complex and subject to many variables. Future data extraction will allow us to identify these confounding factors and the early predictors of success. In addition, we will propose further optimization of the current process.

Blockchain Technology in Higher Education

Blockchain technology has the potential to revolutionize the education sector by providing a secure, transparent, and tamperproof platform for storing and sharing academic records. As blockchain adoption continues to grow. In this paper we have discussed about the applications of blockchain in higher education such as Credit Transfer in Education System. Purpose of this paper is to explore the applications of Blockchain in Higher Education.

A sentiment analysis approach for understanding users’ perception of metaverse marketplace

This research explores the user perceptions of the Metaverse Marketplace, analyzing a substantial dataset of over 860,000 Twitter posts through sentiment analysis and topic modeling techniques. The study aims to uncover the driving factors behind user engagement and sentiment in this novel digital trading space. Key findings highlight a predominantly positive user sentiment, with significant enthusiasm for the marketplace's revenue generation and entertainment potential, particularly within the gaming sector. Users express appreciation for the innovative opportunities the Metaverse Marketplace offers for artists, designers, and traders in handling and trading digital assets. This positive outlook is tempered by notable concerns regarding security and privacy within the Metaverse, pointing to a critical area for development and assurance. The study also reveals a substantial neutral sentiment, reflecting users’ cautious but interested stance, particularly regarding the marketplace's role in investment and passive income opportunities. This balanced view underscores the evolving nature of user perceptions in this emerging field. Theoretically, the research enriches the discourse on technology adoption, particularly in virtual environments, by highlighting perceived benefits and enjoyment as significant adoption drivers. These insights are invaluable for stakeholders in the Metaverse Marketplace, guiding the development of more secure, engaging, and user-friendly platforms. While providing a pioneering perspective on Metaverse user perceptions, the study acknowledges its limitation to Twitter data, suggesting the need for broader research methodologies for a more holistic understanding.

Dynamic Hyperspectral Holography Enabled by Inverse-Designed Metasurfaces with Oblique Helicoidal Cholesterics.

Metasurfaces are flat arrays of nanostructures that allow exquisite control of phase and amplitude of incident light. Although metasurfaces offer new active element for both fundamental science and applications, the challenge still remains to overcome their low information capacity and passive nature. Here, by integrating an inverse-designed-metasurface with oblique helicoidal cholesteric liquid crystal (ChOH), simultaneous spatial and spectral tunable metasurfaces with a high information capacity for dynamic hyperspectral holography, are demonstrated. The inverse design facilitates a single-phase map encoding of ten independent holographic images at different wavelengths. ChOH provides precise spectral modulation with narrow bandwidth and wide tunable regime in response to programmed stimuli, thus enabling dynamic switching of the multicolor holography. The results provide simple and generalizable principles for the rational design of interactive metasurfaces that will find numerous applications, including security platform.

NAISS: A reverse proxy approach to mitigate MageCart's e-skimmers in e-commerce

The rise of payment details theft has led to increasing concerns regarding the security of e-commerce platforms. For the MageCart threat family, the attacks employ e-skimmers, which are pieces of software code that instruct clients to forward payment details to an attacker-controlled server. They can be injected into hosting providers' servers as HTML tags such as script, iframe, and img. By leveraging image steganography - the technique of hiding structured information inside images without visual perturbances - MageCart groups can deliver e-skimmers without raising suspicion. In this work, we systematically review applicable solutions in the literature and evaluate their drawbacks in the setting of a compromised hosting provider. While promising, existing solutions in the literature present shortcomings such as a lack of compatibility, adaptability, or functionality in the presence of an attacker. Based on this review, we compile a set of features for a better solution, which we use as a foundation for designing our proposed solution - NAISS: Network Authentication of Images to Stop e-Skimmers. Through our solution, digital signatures of individual images are checked inside a server-side middlebox residing in the hosting provider's network to prevent the transmission of unauthorized images to clients. Elliptic curve signatures are provided by the e-commerce platform developer prior to uploading a website to the hosting provider. Our proof-of-concept implementation shows that NAISS is capable of filtering 100% of present stegoimages, regardless of their novelty, while imposing a minimal performance detriment and no client-side modifications.

Melatonin-Derived Carbon Dots with Free Radical Scavenging Property for Effective Periodontitis Treatment via the Nrf2/HO-1 Pathway.

Periodontitis is a chronic inflammatory disease closely associated with reactive oxygen species (ROS) involvement. Eliminating ROS to control the periodontal microenvironment and alleviate the inflammatory response could potentially serve as an efficacious therapy for periodontitis. Melatonin (MT), renowned for its potent antioxidant and anti-inflammatory characteristics, is frequently employed as an ROS scavenger in inflammatory diseases. However, the therapeutic efficacy of MT remains unsatisfactory due to the low water solubility and poor bioavailability. Carbon dots have emerged as a promising and innovative nanomaterial with facile synthesis, environmental friendliness, and low cost. In this study, melatonin-derived carbon dots (MT-CDs) were successfully synthesized via the hydrothermal method. The MT-CDs have good water solubility and biocompatibility and feature excellent ROS-scavenging capacity without additional modification. The in vitro experiments proved that MT-CDs efficiently regulated intracellular ROS, which maintained mitochondrial homeostasis and suppressed the production of inflammatory mediators. Furthermore, findings from the mouse model of periodontitis indicated that MT-CDs significantly inhibited the deterioration of alveolar bone and reduced osteoclast activation and inflammation, thereby contributing to the regeneration of damaged tissue. In terms of the mechanism, MT-CDs may scavenge ROS, thereby preventing cellular damage and the production of inflammatory factors by regulating the nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) pathway. The findings will offer a vital understanding of the advancement of secure and effective ROS-scavenging platforms for more biomedical applications.

Smart‐Responsive HOF Heterostructures with Multiple Spatial‐Resolved Emission Modes toward Photonic Security Platform (Adv. Mater. 9/2024)

Smart‐Responsive HOF Heterostructures with Multiple Spatial‐Resolved Emission Modes toward Photonic Security Platform (Adv. Mater. 9/2024)