CO2 Emissions Forecasting Using Time Series Analysis and Metaheuristic Optimization for Environmental Sustainability

Ahmed El-Sayed; El-Sayed M.; Mohamed S.

doi:https://doi.org/10.54216/JAIM.070203

Journal of Cybersecurity and Information Management | 2025

A Hybrid GA-GWO Method for Cyber Attack Detection Using RF Model

Currently, building a high-performance attack detector for cyber threat should be an essential and challenging task to secure cloud system from malicious activities. Traditional methodologies have become subject to the challenge of overfitting, distributive and intricate system layout, comprehensibility and more extended time particles. Therefore, the proposed contribution can be an efficient solution to design and develop a secure system, which is able to recognize cyber threats from cloud systems. It includes preprocessing and normalization, feature extraction, optimization as well prediction modules. Normalization with the relevant per batch fast Independent Component Analysis (ICA) model. A Genetic Algorithm (GA) - Gray Wolf Optimization (GWO) is then used to select the discriminatory features for training and testing phases. In the end, GAGWO- Random Forest (RF) is employed to classify the flow of data as insider or outsider. The detection system is implemented by taking popular and publicly available datasets like BoT-IoT, KDD Cup’99 etc. The various percentage indicators of feasibility are used as a validation purpose like detection accuracy measuring and comparing with the suggested GAGWO-RF system. Overall Accuracy: The proposed GAGWO-RF system achieved an average accuracy rate at 99.8% on all datasets the used. From the performance study, we have noted that GAGWO-RF security model performs better than other models.

groups

Abdulrahman Fatikhan Ataala mail -

Khudhair Abed Thamer mail -

Ahmed Hikmat Saeed mail -

Mohammed Yousif mail -

Ahmad Salim mail -

Qusay Hatem Alsultan mail -

Salim Bader mail

link https://doi.org/10.54216/JCIM.150117

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management | 2025

A Public Key Infrastructure Based on Blockchain for IoT-Based Healthcare Systems

Real-time health monitoring and data collection are possible now due to the introduction of Internet of Things (IoT) in modern healthcare systems. Continuous monitoring enables healthcare providers to find and treat potential health problems early, tailor treatment plans specific to the individual patients, and make better clinical decisions resulting in a higher quality of care. From the benefits of integrating IoT in healthcare to security issues being raised when data is collected or transmitted (as health information becomes a sensitive resource). Patient's health information is very confidential and secrecy, any act that disclosed this data in the wrong way can have more implications than just patient identity thefts and financial fraudulence. In this study, we introduce that in order to solve the security and privacy issues of IoT devices in healthcare systems; we present Block chain-based Security-enhanced Public Key Infrastructure (PKI). The solution integrates the decentralized component of blockchain with its automated and standardized functionality for processing all actions afterwards, which allows such a data access as never before. This is a unique feature of blockchain: once data has been entered onto the ledger, it cannot be changed or deleted - meaning that an irrevocable record exists for each transaction. These provide future IoT devices with medical data that remain compliant keeping your health information sanitary. The other advantage of this decentralized solution is that it allows data to be accessed and stored globally, thus improving the availability and robustness of all components in case anyone fails. The Public Key Infrastructure (PKI) on an already existing blockchain platform, this only makes its security even more solid. Our solution assigns the reliability of safety and encrypted interaction among different section in our healthcare infrastructure through PKI cryptographic keys with digital certificates. Additionally, the proposed blockchain PKI improves security while addressing scalability and interoperability challenges that traditional centralized systems cannot solve, all without relying on an expensive third-party certifying authority.

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Salah N. Mjeat mail -

Mohammed Yousif mail -

Salim Bader mail -

Osama Mohammed mail -

Ahmed Hikmat Saeed mail

link https://doi.org/10.54216/JCIM.150118

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management | 2025

Analysis of Wazuh SIEM's Effectiveness in Cloud Security Monitoring

In today’s rapidly evolving digital landscape and interconnected, organizations are increasingly dependent on cloud -based infrastructure, which introduces significant cybersecurity challenges due to escalating cyber threats and attacks. To effectively manage these threats, a central monitoring system is essential. Security Information and Event Management (SIEM) solution address these issues by providing real-time monitoring and analysis of security events. This research investigates the efficiency of the Wazuh SIEM system in monitoring AWS cloud services, EC2 instance, and File integrity. Wazuh automates the collection, centralization, and analysis of security events. This approach enables the detection of unauthorized activities, monitoring of file integrity, and collection of user activity logs in real-time. This study evaluates Wazuh SIEM's capabilities by executing different types of attacks in an AWS cloud environment. The result was that it generated 1774 security alert within one week. The findings demonstrate that Wazuh SIEM provides comprehensive security monitoring and threat detection, offering significant advantages for organizations security that utilize cloud services.

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Wasan Saad Ahmed mail -

Ziyad Tariq Mustafa AL-Ta’I mail

link https://doi.org/10.54216/JCIM.150119

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management | 2025

Anomaly Detection Improvement in Computer Communication Networks using Machine Learning Techniques

The issue of force misfortune in wireless sensor networks is one of the fundamental points and central defects that should be defeated in building any coordinated computer information trade and communications framework. Where numerous new examinations have given the idea that talk about this point and recommended various techniques and systems of their sorts, proficiency, and intricacy to take care of the issue of energy misfortune in far off sensors in advanced wireless sensor networks. The WSN networks rely upon the sixth-generation innovations by giving a better system than the pace of sending and getting data and giving permitting all over; likewise, the sixth generation crossing points embrace a smart technique for information transmission in WSNs. Sixth generation is the option in contrast to the fifth-generation cellular technique, where 6G frameworks can apply a larger number of frequencies than 5G frameworks and produce a lot higher transmission capacity with lower idleness. In this review, the hardships experienced in terahertz (THz) advances in wireless sensor networks will be demonstrated, including way obstacles that are viewed as the primary test; Additionally, the attention will be on tracking down answers for keep up with the best and least energy misfortune in the WSN networks by proposing machine learning systems that will show exceptional outcomes through effectiveness measures and ideal energy venture.

groups

Hiba A.Tarish mail

link https://doi.org/10.54216/JCIM.150120

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management | 2025

The Impact of Cloud Computing on Network Security Risk for Organization Behaviours

Cloud computing presents a new trend for IT and business services which typically involves self-service access over internet. Over these features, cloud computing has the advantages to enhance IT and business ways by offering cost efficiency, dynamically scalable, and flexibility. However, using cloud computing has raised the level of the network security risk due to the services are presented by a third party. In addition, to maintain the service availability and support data collections. Understanding these risks through cloud computing help the management to protect their system from security attacks. In this paper, the most serious and important risks and threats of the cloud computing are discussed. The main vulnerabilities is identifying with the literature related to the cloud-computing environment with possible solutions to overcome these threats and risks.

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Nagham Hamid mail -

Nada Mahdi Kaitan mail -

Sanaa Mohsen mail

link https://doi.org/10.54216/JCIM.150121

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2024

Integration of Project Management Professional (PMP) and Building Information Modeling (BIM) in the Construction Industry: Systematic Review

The construction industry is crucial for infrastructure and economic development. Integrating Building Information Modeling (BIM) and Project Management Professional (PMP) practices enhances performance, reduces costs and time, and improves planning and implementation, and boosts project quality and risk management. This research examines the benefits of BIM-PMP integration, such as improved project execution, cost and risk reduction, and enhanced team communication. It also addresses technical, cultural, and organizational challenges. Using statistical analysis with IBM SPSS and AMOS, the study investigates relationships between BIM, PMP, and variables like cost, time, and quality, based on expert interviews. Findings highlight BIM's role in achieving high quality, cost-effective, timely project completions and the need for a BIM-PMP framework to streamline operations and achieve project goals. Future directions include developing new tools, enhancing training, and supporting innovation to improve project performance.

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Manar Jreij mail -

Mohamad Shaban mail -

Nesrine Roumieh mail

link https://doi.org/10.54216/IJBES.080203

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

Details open_in_new

International Journal of BIM and Engineering Science | 2024

Quality Management Procedures and Applications for Implementing Manufacturing Integration Modeling in an Engineering Company

Engineering companies in Syria suffer from a lack of comprehensive quality management implementation, leading to inaccuracies in components and design flaws during execution. This research aims to develop quality procedures for implementing Manufacturing Integration Modeling (FIM) in engineering firms. The study is of significant importance in enhancing efficiency, productivity, and fostering collaboration among different departments, while mitigating risks and ensuring safety. The research addresses challenges[1] such as difficulties in accessing information, participant availability, and data consistency, and poses questions on improving quality management procedures to tackle these challenges. Through literature review, case studies, and interviews with industry experts, the research seeks to provide recommendations to enhance the quality and efficiency of engineering operations in Syria post-crisis, thereby contributing to sector development and boosting innovation and competitiveness for engineering companies.

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Yara Kablan mail -

Rana Maya mail

link https://doi.org/10.54216/IJBES.080204

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

Details open_in_new

International Journal of BIM and Engineering Science | 2024

The Role of Building Information Modeling in the Management and Operation of Existing Buildings

This research aims to highlight the importance of Building Information Modeling (BIM) in improving the management and operation of existing buildings. The study illustrates that achieving integrated functional performance for buildings requires the adoption of modern technologies, especially in the operational phase of their lifecycle. Despite BIM being primarily used in the design and construction phases, its application in operation and maintenance remains limited due to certain challenges, such as information management. The research presents a case study of Homs Museum as a model of a facility that relies on traditional methods for its operation, where BIM was applied to enhance three operational aspects: the container (building modeling and space occupancy), the content (indexing and classifying artifacts), and the user (staff management and BIM adoption within the institution). The results showed that BIM significantly enhances operational information management with high flexibility, underscoring the necessity of its adoption in existing buildings. The research recommends increasing the reliance on BIM in the operational phase, supporting its use in existing buildings through training and providing data collection tools, and developing user-friendly software interfaces for project managers.

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Heba Eid mail -

Alaa Kadi mail -

Hadi Kherbeic mail

link https://doi.org/10.54216/IJBES.080205

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2025

On the Two-Fold Maximal Units in Some Two-Fold Finite Neutrosophic Rings Modulo Integers for 2≤n≤5

In this paper, we have defined the concept of two-fold maximal units in finite two-fold neutrosophic rings modulo integers, where a sufficient and necessary condition for such class of generalized units will be provided. We characterize all maximal units in the following two-fold neutrosophic rings(Z_n (I))_(f_I ) for nE{2,3,4,5}.

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Isra Al-Shbeil mail -

Ibraheem Abu Falahah mail -

Talat Alkhouli mail -

Ahmed Soiman Rashed Alhawiti mail -

Jenan Shtayat mail -

Abdallah Al-Husban mail

link https://doi.org/10.54216/IJNS.250213

Volume & Issue

Vol. Volume 25 / Iss. Issue 2

Details open_in_new

Journal of Artificial Intelligence and Metaheuristics | 2024

CO2 Emissions Forecasting Using Time Series Analysis and Metaheuristic Optimization for Environmental Sustainability

CO2 emission prediction is crucial for environmental policy and climate change mitigation. This review explores time series analysis and metaheuristic optimization in CO2 forecasting, summarizing research findings and methodological insights. Time series analysis uncovers past patterns and future trends, while metaheuristic methods like genetic algorithms optimize forecasting accuracy. Challenges include data quality, model complexity, and computational demands. However, the potential of advanced machine learning is a beacon of hope. It can revolutionize CO2 forecasting, making it more accurate and efficient. Composite models combining approaches show promise alongside real-time data integration and advanced machine learning. Future research should prioritize comprehensive databases and, importantly, stress the need for interdisciplinary collaboration to refine models. Improvements in forecasting can aid policy decisions and combat climate change, highlighting the growing need for accurate CO2 predictions and advanced analytical techniques.

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Ahmed El-Sayed Saqr mail -

El-Sayed M. El-Kenawy mail -

Mohamed S. Saraya mail

link https://doi.org/10.54216/JAIM.070203

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new