The Impact of Anti-Predator Behavior and Toxicant on An Ecological Neutrosophic Model

Huda Salah Kareem; Aseel Amer Abd

doi:https://doi.org/10.54216/IJNS.240324

Journal of Cybersecurity and Information Management | 2024

Securing the Digital Commerce Spectrum and Cyber Security Strategies for Web, E-commerce, M-commerce, and E-mail Security

Secure protection of sensitive data and financial transactions is of the utmost importance in the dynamic world of online trade. In this study, we present a full-stack security architecture that uses five separate algorithms: ECF, Transaction Anomaly Detection, Adaptive Threat Intelligence, Behavioral Biometric Authentication, and Dynamic Encryption Protocol. By creating encryption keys on the fly while the user logs in, the DEP method lays a solid groundwork for safe data transfer. Behavioral biometric authentication (BBA) uses DEP output to verify users based on their distinct behavior, which is an extra layer of security. By combining both current and past threat information, the ATI algorithm is able to constantly adjust security protocols, providing a preventative shield against new dangers. TAD is an expert at detecting anomalies in online purchases, which helps keep financial transactions honest. When ECF and DEP work together, they filter email content, making communication more secure. Flowcharts help to illustrate the interactions between various algorithms, which helps to understand their operations in detail. Every algorithm's importance is brought to light by an ablation study, which shows how each one contributes and how they all work together to affect the overall security posture. The suggested security framework outperforms the state-of-the-art in terms of efficacy, adaptability, and usability, according to performance evaluations conducted using a number of metrics. These findings can help decision-makers build a strong security plan that is specific to the challenges of online shopping. To conclude, the suggested framework is an integrated and complementary strategy that will strengthen online trade in the face of several cyber dangers while simultaneously protecting the confidentiality, authenticity, and availability of all associated communications and transactions.

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Rohit Pachlor mail -

R. Mohanraj mail -

K. Sharada mail -

Savya Sachi mail -

K. Neelima mail -

Punyala Ramadevi mail

link https://doi.org/10.54216/JCIM.140103

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management | 2024

Secure Medical Records Through Big Data Analytics and Blockchain

As healthcare shifts to digital platforms, the healthcare sector is suffering from multiple security vulnerabilities that make it vulnerable to various types of cyberattacks. Therefore, robust security solutions need to be implemented to resolve these vulnerabilities. In this context, blockchain technology has emerged as a promising solution in several sectors, including the healthcare sector. This study harnesses blockchain technology to improve medical record management. By integrating blockchain, we address issues like data breaches and inefficient data sharing. The proposed study ensures a seamless health record exchange that is secure, transparent, and beneficial to both patients and healthcare providers. The goal of this study is to empower patients to be more in control of their data while streamlining processes and enhancing security for healthcare institutions. Medical records are increasingly secure, interoperable, and accessible when blockchain technology and big data are used. According to the study, healthcare workers recognize the importance of protecting medical records through blockchain technology and big data, which can improve security, interoperability, and accessibility. This minimizes concerns related to data manipulation while providing a more cost-effective and efficient method of managing medical records. Medical records management is made more cost-effective and efficient by reducing concerns related to data manipulation.

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Hamad Almani mail -

Shailendra Mishra mail -

Aditi Singh mail

link https://doi.org/10.54216/JCIM.140104

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2024

Enhancing the Syrian Construction Industry through Augmented Reality: Applications and Challenges

The Syrian construction industry faces numerous challenges that hinder its efficiency and productivity, including outdated practices and a lack of modern technological integration. This study explores the potential of Augmented Reality (AR) to enhance industry practices through a descriptive analytical approach using surveys and case studies. Key findings indicate a growing awareness and favorable perception of AR among construction professionals, pinpointing substantial benefits such as enhanced project visualization, safety, and resource management. Despite these positives, significant barriers such as technological infrastructure and expertise gaps limit AR's widespread adoption. The study concludes that AR offers significant potential to revolutionize the Syrian construction industry, recommending focused governmental and private sector investment in technological training and infrastructure to leverage these benefits fully. These findings suggest that AR could be pivotal in transforming construction practices in emerging markets like Syria

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Mirna Hammoudi mail -

Abdussalam Shibani mail

link https://doi.org/10.54216/IJBES.080104

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

Details open_in_new

Journal of International Economics Research | 2026

Ways to Improve Uzbekistan’s Logistics Indicators for the Development of International Trade

The paper advances an analysis of the role of logistics in respect to various factors contributing to the export performance of Uzbekistan. The study relied on annual time-series data obtained from 2007 to 2023, and descriptive statistics, correlation analysis, and ordinary least-squares regression were employed to take into consideration the effects of infrastructure quality, transportation efficiency, and technology availability on exports of goods and services in relation to GDP. The empirical findings suggest that via Internet usage, technology availability positively with statistical significance affects export performance. Infrastructure quality has a positive, albeit statistically weakly significant association with exports, and transportation efficiency negatively associates weakly. It can be concluded based on the studies’ results that technological advancement is the main factor affecting export competitiveness, while infrastructure and transport systems mainly contribute to this long-term. This analysis is of major policy importance, stressing further improvements in digital infrastructure as well as investments in logistics and transport systems to cater for sustainable export growth in Uzbekistan.

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Feruza Sayidova mail

link https://doi.org/10.54216/JIER.040102

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2024

Proposal for Temporary Safety Facilities for Fall Protection Using 4DBIM to Meet OSHA Standards

Temporary Safety Facilities (TSFs) constitute a vital support infrastructure ensuring the safety of workers throughout construction operations, with the overarching goal of averting accidents onsite; However, the schedule and location of installation and dismantling of technical support facilities is still based on work experience, and is often omitted from official drawings or documents. This leads to thousands of accidents in the construction sector, especially in small and midsize construction enterprises construction firms due to many limiting factors; Therefore, this study proposes automatic workspace planning for temporary safety facilities (in our case guardrails for fall protection) based on construction activities, which is a structured approach for SMEs working in construction to practice Occupational Health and Safety (OHSA). By employing Building Information Modeling (BIM), safety facilities can be simulated and visually incorporated into the assigned workspace. Utilizing 4D-BIM, the devised system facilitated the installation of temporary safety features, such as fall protection railings, which underwent validation via a case study involving a mall project. The results indicated that integrating temporary safety facilities with the model enhances comprehension of safety protocols throughout project execution. Additionally, temporary facility workspace planning provides an affordable approach that stimulates safety practices; Thus, significantly enhancing the management effectiveness of construction safety measures.

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Dima Salameh mail -

Lama Saoud mail

link https://doi.org/10.54216/IJBES.080105

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2024

Intelligent System for the Classification of Arterial Blood Pressure Waveform Abnormalities Due to Mistiming in Intra-Aortic Balloon Pump

Cardiovascular diseases detection or diagnosis on appropriate time is crucial to avoid health complications. In this study, an advanced procedure for classifying changes in the blood pressure has been used analyzing the wave-forms inside the arterial system where such variation can occur due to improper timing in intra-aortic balloon pump (IABP) control. Inaccurate pressure extends with probable injury can be caused by improper timing in the heart valve in both pumping and compression of the balloon. This investigation focuses on accurately recognizing and classifying any irregularities in the artery wave-forms in IABP in the blood pressure initiated by mistiming. Accumulated blood pressure records are used for the progression of providing information to IABP trainer. The wave-forms require pre-handling employing image digitizing software to acquire automated identifications. Any undesirable image features have been removed using Wavelet in MATLAB software. Afterward, such features can be employed to develop a technique for arrangement depending on neural networks. The artificial neural network technique has used marked data to properly detect irregularities in wave-forms in vascular blood pressure due to improper IABP timing. As a result, the validation has proved to appropriately recognize and classify such anomalies, denoting a considerable prospect to improve patient protection with an efficacy of treatment in the area of cardiovascular prescription.

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Zainab A. Wajeeh mail -

Sadiq J. Hamandi mail -

Wisam S. Alobaidi mail

link https://doi.org/10.54216/JISIoT.130105

Volume & Issue

Vol. Volume 13 / Iss. Issue 1

Details open_in_new

Pure Mathematics for Theoretical Computer Science | 2024

On the Improving of the Efficiency of FL Controller Based on Genetic Algorithms to Control (DC-DC) Converters

DC-DC converter circuits effectively convert the DC input voltage into a regulated output voltage more efficiently than linear regulators or magnetic transformers. The electronic switches of these converters are controlled to obtain the desired regulated output voltage value. In recent years, the concept of using Artificial Intelligence systems to control electrical circuits and their practical applications has expanded, as Fuzzy Logic Controller (FLC) is one of the most famous types of these systems because it uses inferential logic to simulate the work of the human brain by formulating the fuzzy rule and following the membership of the system’s input and output and converting the output into a numerical value that controls it’s in turn the duty cycle of the converter. The research proposes the use of Genetic Algorithms (GA) that simulate the principle of natural inheritance (the survival of the fittest principle) to improve the accuracy of the fuzzy controller and thus the efficiency of the step-down converter (Buck) by finding the ideal values for its coefficients in order to obtain the closest value for the reference voltage by improving the parameters of the gain constants and changing the shape of membership.The results of the research using MATLAB show the improvement provided by the Genetic-Fuzzy controller (GA-FLC) compared to the fuzzy logic controller in terms of the response parameters and output curves of the Buck converter.

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Khaled Moaz mail

link https://doi.org/10.54216/PMTCS.040104

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management | 2024

ML-based Intrusion Detection for Drone IoT Security

The integration of drones into various industries brings about cybersecurity challenges due to their reliance on internet connectivity. To address this, we propose a comprehensive cybersecurity architecture leveraging machine learning (ML) algorithms and Internet of Things (IoT) technologies within the Internet of Drones (IoD) framework. Our architecture employs IoT-enabled sensors strategically placed across the drone ecosystem to collect and analyze data on system behaviors, communication patterns, and environmental variables. This data is then processed by a centralized platform equipped with sophisticated ML algorithms for pattern identification and anomaly detection. A key feature is the dynamic learning mechanism, enabling real-time intrusion detection by adapting to evolving threats. By combining IoT and ML, the system proactively defends against cyberattacks by distinguishing between typical and abnormal activity. Emphasis is placed on data integrity and confidentiality through secure communication protocols and cryptographic algorithms. Extensive simulations and tests validate the framework's effectiveness in various IoD scenarios, demonstrating its ability to swiftly identify intrusions and informing future enhancements. This comprehensive study meticulously examines the pressing cybersecurity concerns within the burgeoning drone industry. It proposes a robust architectural framework designed to enhance security for drone-enabled applications in our increasingly interconnected world. By harnessing the synergies between Internet of Things (IoT) and Machine Learning (ML) technologies, this innovative approach aims to fortify the integrity and reliability of drone systems.

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Abdullah Al-Fuwaiers mail -

Shailendra Mishra mail

link https://doi.org/10.54216/JCIM.140105

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Neutrosophic Structure of Sized Biased Exponential Distribution: Properties and Applications

This study presents a novel distribution derived from the exponential distribution, referred to as the neutrosophic size-biased exponential distribution (NSBED). Various characteristics of the proposed model, including moments, skewness, and kurtosis, are investigated. Plots depicting the cumulative distribution function, density function, and other relevant functions associated with the survival analysis hazard function under indeterminacy are provided. Parameter estimates for the proposed model within the neutrosophic framework are computed. To illustrate the statistical applications of the results in handling imprecise data, a motivation is provided. A simulation analysis is conducted to validate the theoretical aspects of the proposed NSBED. Results indicate that the new distribution exhibits right skewness and shares many properties with skewed distributions. Our novel distribution outperforms the size-biased exponential distribution. Finally, a real application of the proposed model is provided to illustrate the practical implications.

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Mansour F. Yassen mail

link https://doi.org/10.54216/IJNS.240323

Volume & Issue

Vol. Volume 24 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2024

The Impact of Anti-Predator Behavior and Toxicant on An Ecological Neutrosophic Model

This paper discusses a neutrosophic mathematical model consisting of three nonlinear ordinary differential equations describing the interaction between two prey and a predator with the use of function response Holling's type IV and Lotka Volttra. It appears that the first prey has a way to defend itself by using the toxic substance directly to the predator, as well as the effect of the predator on the toxic substance. The conditions for the existence of the solution and the uniqueness of the boundaries were discussed, and then the different equilibrium points and the stability of the system around the equilibrium points were analyzed. The Lyapunov function was used to study the global dynamics of this proposed model. Finally, numerical simulations were performed to show the analytical results.

groups

Huda Salah Kareem mail -

Aseel Amer Abd mail

link https://doi.org/10.54216/IJNS.240324

Volume & Issue

Vol. Volume 24 / Iss. Issue 3

Details open_in_new