Security Infrastructure Research Articles

Resilience in supply chain risk management in disruptive world: rerouting research directions during and after pandemic

AbstractThe pandemic and a series of subsequent disruptive events fully exposed the vulnerability of supply chains. Research in the field of resilience in supply chain risk management has recorded significant interest across a wide range of academic disciplines. Therefore, there is a need to synthesize, categorize and explain existing and newly emerging research directions, which may represent relevant platforms for developing supply chain concepts in the future. This study addresses this need by providing a bibliometric review of published papers on resilience in supply chain risk management. By analyzing more than 2500 published papers through bibliometric and machine-learning-based methods, we identified ten topics related to risk and resilience of supply chains: Pandemic impacts of food supply chain; Practices for capability and performance; Supplier-related modeling and optimization; System security and critical infrastructure; Production changes; IT in manufacturing process; Sustainability in global economy; Management and business approach; Modeling and design of complex networks; Operational strategies for risk mitigation. By analyzing articles published since 2020, we also identified a change in the direction of research dedicated to supply chain risk and resilience; we identified three other topics that were not recognized as distinct topics prior to 2020—Operational management; strategy; Sustainable production. The results of this study help in understanding the change in the direction of research in the area of risk and resilience of supply chains and thus provide up-to-date information for further research in this dynamically developing area.

Causal relationship between financial deepening, national security, ecological footprint, and economic growth in Nigeria

Background This study seeks to examine the causal link between financial deepening, national security, ecological footprint, and economic growth in Nigeria, in order to contribute to the contradicting evidence on economic growth drivers. Methods The dynamic ARDL model was employed as the baseline model to establish the link between the phenomena, and the FMOLS and DOLS as robust models using time series data spanning from 1995 to 2022. The FMOLS and DOLS models take into consideration the presence of endogeneity, cross-sectional dependency, and heterogeneity. Results The results demonstrate that whereas ecological footprint has positive and significant long-term relationships with economic growth, financial deepening and national security have negative and significant long-run relationships with economic growth. There was a 34% and 50% correction to the short-term to long-term adjustment speed, respectively. The findings of the Granger causality, interaction terms, marginal (ME), and threshold (TH) effects demonstrate: a) a significant bidirectional causal relationship between national security and economic growth, as well as a one-way significant causal link between financial deepening and economic growth; b) changes in national security and ecological footprint have a significant and negative impact on the financial deepening effect on economic growth; c) significant negative and marginal effects of national security on economic growth, as well as significant positive marginal effects of ecological footprints on economic growth; and d) the impact of financial deepening on economic growth becomes apparent when the increases in the marginal effect of the ecological footprint reach a critical limit over the ( TH CO 2 = 0.981) threshold. Conclusions This study highlights the significant link between Nigeria’s financial deepening, national security, ecological footprint, and economic growth. It recommends that viable policies be put in place to support the development of financial institutions, increasing security infrastructure investment, and promoting renewable energy use for sustainable environment and reduced carbon emissions.

Community Security Service Innovation Through a Motorcycle Security System (Sikemo) Integrated with Local Radio

The Indonesian government has attempted to overcome the problem of motor vehicle theft by implementing various policies, such as increasing security patrols, installing security systems in vehicles, and providing information to the public about preventative measures. There is a need for strategies and techniques to deal with cases of theft which are very disturbing to the public. Integrated security systems for motorbikes are a promising approach in reducing crime rates. This study used descriptive qualitative method. The object of research is the security system for motor vehicle owners. Data was obtained through observation, literature study, archives and documents. Analysis through the process of identification, categorization and proposing security system innovations. SiKeMo can be an innovative solution to reduce the high rate of theft, where the existing vehicle security system is currently considered less safe. Nowadays, thieves use technology to make their actions easier. The police as a related institution need to fight increasingly sophisticated crimes by using a more sophisticated crime prevention system. By combining various security technologies, integration with wider security infrastructure, and paying attention to the psychological aspects of users, a security system can be created that is more effective and proactive in maintaining motor vehicle security.

MBSE Analysis & Update of U.S. Infrastructure Data Taxonomy (IDT) Using U.S. National Critical Functions (NCFs)

AbstractIn this paper, we will demonstrate the application of Model‐Based Systems Engineering (MBSE) tools and techniques we have used to assist the U.S. Department of Homeland Security (DHS) / Cybersecurity Infrastructure Security Agency (CISA) in analysis of open‐source Infrastructure Data Taxonomy (IDT) data to analyze and contribute to the updates required for their IDT. We will show how we have used Functional Analysis, Logical Structure Taxonomies, and MBSE tools to analyze the IDT alongside the DHS National Critical Functions (NCFs) to recommend and improve these updates for their IDT. We have also proposed updates to the NCFs themselves where obvious improvements could be made. Our future recommendations are to continue this effort as a team of INCOSE Critical Infrastructure Protection and Recovery (CIPR) team members, along with other INCOSE Working Groups (WGs), and to explore other use cases based on this model data, as well as inviting other Subject Matter Experts (SMEs) to assist in the enhancements. This modeling effort demonstrated the use of these MBSE tools while working together with other organizations to enable improvements to the Critical Infrastructure (CI) space leveraging systems theory & thought leadership. We will outline further avenues for exploration using this provided MBSE capability in multiple areas that could be useful to the DHS, and will discuss a potential longer‐term engagement with DHS in an annual challenge. This challenge similar to those led by multiple other projects will include collaborations with universities and other CI / CIPR entities interested in this modeling of the CI space. Other opportunities to extend the model further include, but are not limited to security / cybersecurity, operational, and services modeling use cases, involving Industrial Control Systems (ICS) and much more. We have shown how these tools are effective and efficient for use in the water / wastewater sector, but will also yield similar benefits when applied across all identified sectors and across the international community as well (i.e., transportation, telecommunications, etc.). Interestingly we have seen in our initial analyses that the various taxonomies across sectors, subsectors, segments, subsegments, and assets vary slightly between regions and countries internationally for various reasons.

AI for Critical Infrastructure Security: Concepts, Challenges, and Future Directions

AI for Critical Infrastructure Security: Concepts, Challenges, and Future Directions

Empowering Bangladesh: A Study on Synergizing Renewable Energy and Smart Grid Technologies for Sustainable Development

This paper shows a study of the Smart Grid in Bangladesh, emphasizing the incorporation of renewable energy sources. Its aim is to provide an overview of global renewable energy demand and highlight the significance of a smart grid system in fostering sustainability and dropping CO2 emissions.The total renewable energy generation of Bangladesh stood at a meager 1.34% in 2009, representing its low comparative position with other nations. Unfortunately, there has been a little improvement over time, as the total renewable energy generation was 1.51% in 2014 and only slightly increased to 1.57% by 2019. To overcome the addressed issue, it requires massive potential of renewable energy sources to ensure a lucrative, secure, and high-quality supply. This can be achieved through effective monitoring and control mechanisms within the grid system.The integration of cutting-edge technologies such as bi-directional current flow, bi-directional communication systems, automatic working capacity, automatic control systems, and rear systems are required if the upgradation of the current power structure is needed. These advancements will contribute to the enhanced performance, reliability, and security of the renewable energy infrastructure. By embracing a smart grid system and optimizing the integration of renewable energy, Bangladesh can pave the way towards a sustainable future. This will not only boost the country's renewable energy generation but also play a vital role in mitigating CO2 emissions. IUBAT Review—A Multidisciplinary Academic Journal, 7(1): 26-44

Training of specialists as one of the aspects of resilience of critical infrastructure

One of the directions of state policy in the field of ensuring national security is the development of a multi-level effective national security and resilience system for critical infrastructure. A key factor in any system, whether in the field of national security or in other spheres, is human capital, its ability to analyze risks and threats, identify vulnerabilities, master newtechnologies, and find innovative solutions to address modern challenges. Thus, an important aspect becomes the training of qualified professionals who possess systemic knowledge and skills. The need to provide systemic knowledge to specialists and managers directly addressing the tasks of ensuring the protection and resilience of critical infrastructure has been established. The current state of the training system for specialists in the field of critical infrastructure protection in Ukraine has been identified, and the main forms of organizing training and personnel preparation in this area have been analyzed. Tasks have been established based on an analysis of existing professions and labor market demand to determine a set of professions that are expedient to involve in ensuring the security and resilience of critical infrastructure. An analysis of the training and qualification enhancement of specialists in the field of critical infrastructure protection and resilience has shown the necessity and possibility of creating a national education and training system on critical infrastructure protection and resilience in Ukraine. Professions and labor market demand have been analyzed, and a set of professions expedient to involve in ensuring the security and resilience of critical infrastructure has been determined. After their final approval, these professions could include: the head of a structural unit responsible for the protection and resilience of critical infrastructure and a specialist in the protection and resilience of critical infrastructure. Developed or updated professional standards in the field of critical infrastructure protection and resilience will serve as a basis for adapting educational programs of higher education institutions according to the labor market demand.

Vulnerability of the technological infrastructure of the Salinas Fire Department, year 2023

The present research addressed the critical issue in the field of cybersecurity. The technological infrastructure of the Salinas Fire Department is exposed to significant risks due to the growing threat of cyber attacks. Given this situation, the main objective of the research was to assess the cyber risks present in the institution's information technology (IT) infrastructure. To achieve this objective, the methodology of risk analysis and management of information systems known as MAGERIT was employed, providing a systematic and structured framework to identify, analyze, and manage risks related to information security in an organization. In the context of this research, this methodology was applied to conduct a comprehensive risk analysis of the institution's infrastructure. During the analysis, risk levels were verified in each department, identifying critical areas of vulnerability that could compromise the integrity and operational effectiveness of the institution. The results confirmed the existence of critical areas of vulnerability that require immediate attention. For this reason, the creation of a contingency plan was proposed to reduce the risks identified during the analysis. This plan includes specific measures to strengthen the security of the Salinas Fire Department's technological infrastructure and ensure its operational effectiveness against potential cyber attacks.

Return Migration and Human Resources Development in Rural Areas: European Experience and Chinese Practice

Objective: The purpose of this study is to explore and propose strategies to promote the return of rural population and effective human resource development in China, and to learn from the successful experience of European countries, especially their education and training systems, social security mechanisms, characteristic industries and infrastructure construction, in order to facilitate the implementation of the rural revitalization strategy. Theoretical framework: Based on literature review, SWOT analysis, and international comparative research methods, this study builds a theoretical framework to identify the key elements of rural population return and human resource development, including vocational education and training, social security system, the cultivation of characteristic industries, the construction of infrastructure, etc., and reveals the similarities and differences between China and Europe in these fields through comparative analysis. Design/Methods/Approach: Adopt a combination of qualitative and quantitative research methods, firstly, through an extensive literature review to build a theoretical foundation; Second, data from official and international agencies are used for quantitative analysis, including processing and visualizing data on rural residents' incomes, investment in education, and population structure. Subsequently, SWOT analysis was used to assess the current state of human resource development in China's rural areas. Finally, the data obtained are exhaustively analysed, combined with European cases and specific strategic suggestions are proposed. Significance: The results of this study will provide a comprehensive strategic framework for human resource development in China's rural areas, emphasizing the implementation of multidimensional strategies such as optimizing investment in education, vocational training, and improving the social security system, which is of great practical importance to promote the healthy return of rural people and promote the sustainable development of the economy and economy. rural society. The proposed strategies can not only guide policy-making, but also provide a scientific basis for the development path of rural areas.

Tiny-Machine-Learning-Based Supply Canal Surface Condition Monitoring.

The South-to-North Water Diversion Project in China is an extensive inter-basin water transfer project, for which ensuring the safe operation and maintenance of infrastructure poses a fundamental challenge. In this context, structural health monitoring is crucial for the safe and efficient operation of hydraulic infrastructure. Currently, most health monitoring systems for hydraulic infrastructure rely on commercial software or algorithms that only run on desktop computers. This study developed for the first time a lightweight convolutional neural network (CNN) model specifically for early detection of structural damage in water supply canals and deployed it as a tiny machine learning (TinyML) application on a low-power microcontroller unit (MCU). The model uses damage images of the supply canals that we collected as input and the damage types as output. With data augmentation techniques to enhance the training dataset, the deployed model is only 7.57 KB in size and demonstrates an accuracy of 94.17 ± 1.67% and a precision of 94.47 ± 1.46%, outperforming other commonly used CNN models in terms of performance and energy efficiency. Moreover, each inference consumes only 5610.18 μJ of energy, allowing a standard 225 mAh button cell to run continuously for nearly 11 years and perform approximately 4,945,055 inferences. This research not only confirms the feasibility of deploying real-time supply canal surface condition monitoring on low-power, resource-constrained devices but also provides practical technical solutions for improving infrastructure security.

Security in advanced metering infrastructures: Lightweight cryptography

Abstract Smart grids are designed to revolutionize the energy sector by creating a smarter, more efficient and reliable power supply network. The rise of smart grids is a response to the need for a more comprehensive and sophisticated energy system that caters to the needs of homes and businesses. Key features of smart grids include the integration of renewable energy sources, decentralized generation and advanced distribution networks. At the heart of smart grids is a sophisticated metering system, consisting of intelligent electronic devices that measure energy consumption and enable two-way communication between the utility company and the consumer. The information exchanged via these devices is critical, as it includes sensitive data such as energy consumption patterns and billing information. With the rise of the Internet of Things (IoT) and Industry 4.0, the security of this information is of utmost importance. This paper delves into the security challenges faced by advanced metering infrastructure (AMI) and highlights the crucial role played by cryptography in ensuring the secure exchange of sensitive information. Cryptographic protocols such as encryption, authentication and digital signatures are essential components of a secure smart grid infrastructure. These protocols work together to ensure the confidentiality, integrity and authenticity of the information exchanged between the utility company and the consumer.

Botnets in Healthcare: Threats, Vulnerabilities, and Mitigation Strategies

The increasing digitization of healthcare systems has introduced new opportunities to improve efficiency and accessibility for medical professionals and patients. Examples include the simplified collection, storage, and organization of patient data using electronic health records (EHRs), the use of teleconferencing software like Zoom to allow patients to meet with their care providers remotely, and medical IoT devices like glucose monitors, pacemakers, and other remote patient monitoring devices that leverage software and the internet to provide patients and their healthcare providers with critical information. All of these use cases are examples of how technology can increase the quality of patient care. While the healthcare industry has realized many benefits from its increased investment in new technology, trends have shown that this increased utilization has also opened avenues for malicious cyber actors. One of these threats is botnets. These malicious networks of compromised computers, controlled by cybercriminals, can wreak havoc on all sectors of society, with the healthcare industry proving to be a desirable target. This research is a high-level analysis that investigates the threat botnets pose by employing an exploratory review. We identify the multifaceted nature of botnet threats in healthcare, analyzing their standard forms and the vulnerabilities inherent in healthcare infrastructures, ranging from outdated software to inadequate cybersecurity protocols to poor or total lack of security awareness training for staff. Moreover, the various techniques botnets use to propagate are explored to elucidate the potential points of exploitation and the damage they can cause organizations when proper controls are not implemented. These negative consequences include data breaches, service disruptions, and compromised patient confidentiality, which can endanger medical staff and patients if not addressed. This paper then discusses proven mitigation strategies such as end-user awareness, traffic monitoring, and detection response tools that organizations can employ to reduce the potential and efficacy of such threats. The threat landscape will continue to evolve; however, by staying on top of the latest trends, we can ensure the security of such critical infrastructure and save lives.

Enhancing Metaward: Integrating Digital Forensic Readiness in the Metaverse

As virtual currencies gain traction as rewards and with the evolving landscape of remote and hybrid work environments, the need for adaptive and comprehensive reward systems becomes imperative. This research builds upon the foundation laid in prior studies, focusing on the integration of Digital Forensic Readiness (DFR) into the Metaward reward model, within the Metaverse. However, as more individuals engage with and use the Metaverse, it is crucial to implement DFR to the Metaverse. The problem of this research is the absence of DFR processes integrated into the Metaverse, particularly within the context of the Metaward reward system. With the increasing importance of cybersecurity and digital forensics (DF) in organizational operations, the integration of such measures aims to enhance the security and integrity of the Metaward model. This enhancement aims to ensure a proactive and effective response to potential security incidents, while maintaining the integrity of digital evidence. This research employs a comprehensive methodology, encompassing literature review, analysis of DF measures, and the development of an extended conceptual model. By considering factors such as the security implications of virtual currencies, incident response capabilities, and proactive DF measures, the study seeks to provide insights into the feasibility and effectiveness of this augmented reward model. The proposed model acknowledges the significance of balancing motivation and engagement with the imperative need for robust DFR. It explores potential synergies between these seemingly different elements, aiming to create a reward system that not only motivates employees but also ensures the resilience and security of the organizational digital infrastructure. This study's findings hold promise for organizations navigating the complex terrain of modern work paradigms, offering a strategic approach to bolstering employee motivation, engagement, and DFR. The conclusion reflects on the implications of the proposed integration and outlines avenues for further research in the dynamic intersection of virtual currencies, reward systems, and DF.

State of research: Relevance of Computer Emergency Response Teams in Operational Technology

The increasing integration of Information Technology (IT) and Operational Technology (OT) in industrial environments has led to increased vulnerability to cyber threats. This article examines the need for a dedicated Computer Emergency Response Team (CERT) for OT to ensure the security, integrity, and resilience of critical infrastructure, particularly in the energy sector. OT is subject to specific challenges that differ from those in traditional IT networks. Cyberattacks on OT systems can not only cause financial losses, but also have a significant impact on physical security and the environment. A specific CERT for OT is necessary to address the unique characteristics of these environments. This requires expertise in industrial protocols, control systems and SCADA systems. The CERT for OT should be able to respond quickly to security incidents, perform forensic analysis and implement effective countermeasures to ensure business continuity. Research shows that implementing a specialized CERT for OT leads to improved threat detection, faster response, and more effective defense against attacks. In addition, this article emphasizes the importance of collaboration and communication between IT and OT security teams to ensure comprehensive system resilience. The following article provides a detailed literature analysis that comprehensively examines the current state of research on CERTs in the context of OT. The analysis of the relevant literature highlights the increasing threat to OT systems and emphasizes the specific requirements arising from the integration of IT and OT. By identifying research gaps and summarizing current findings, this article provides a comprehensive overview of the existing literature on this topic.

Enhancing Network Security: Rogue Switch Detection and Prevention in Local Area Network

Our paper comprehensively examines ways to detect and handle unauthorized switches in Local Area Networks (LANs) within today's intricate and interconnected network landscape. We demonstrate the utilization of PortFast and BPDU guard configurations to reinforce LAN security against unauthorized devices and potential complications arising from the spanning tree protocol. These measures not only enhance network performance but also function as robust protective mechanisms, safeguarding the integrity of the LAN infrastructure. Furthermore, this paper delves into advanced techniques for the proactive identification and prevention of rogue switches, fostering an overall enhanced security posture within LANs. By synergistically integrating PortFast, BPDU guard, and advanced rogue switch detection methods, the paper proposes a robust methodology to strengthen LAN security and maintain uninterrupted network operations. It equips organizations with crucial resources to establish a resilient, secure, and dependable digital infrastructure, addressing the evolving demands of network security.

The U.S. National Cybersecurity Strategy: A Vehicle with an International Journey

The U.S. National Cybersecurity Strategy is focused on the five pillars of defending critical infrastructure: detect, disrupt, and dismantle threat actors; improve market resilience and security; invest in future resilience; and create international partnerships with shared goals. The National Cybersecurity Strategy Implementation Plan is focused on critical infrastructure supporting energy, financial, healthcare, information technology, and manufacturing sectors. In the U.S. alone, the SolarWinds supply chain attack affected nine federal agencies and about 100 companies. Ransomware attacks such as the Colonial Pipelines, the largest U.S. oil pipeline, disrupted supplies of gasoline and fuel to the U.S. East Coast and the JBS USA as the largest meat processor ransomware attack affecting one-fifth of the nation’s meat supply. The U.S. National Cybersecurity Strategy as a response to the U.S.’s critical infrastructure concerns led to the creation of two core cybersecurity documents which were crafted jointly with several other allies. Cybersecurity and Infrastructure Security Agency (CISA) crafted the Shifting the Balance of Cybersecurity Risk: Principles and Approaches for Secure by Design Software with joint agreement with National Security Agency (NSA), the Federal Bureau of Investigation (FBI), and 15 international government agencies to give international vendors a roadmap of the expected cybersecurity hygiene required from their products. (CISA, 2023a; Car & De Luca, 2022) Building on the Shifting the Balance of Cybersecurity Risk: Principles and Approaches for Secure by Design Software, CISA, FBI and NSA met with cybersecurity organizations from Australia, Canada, New Zealand, and United Kingdom and jointly created The Case for Memory Safe Roadmaps: Why Both C-Suite Executives and Technical Experts Need to Take Memory Safe Coding Seriously as a core issue identified in the earlier guidance. (CISA, 2023c). These led by the U.S. helped initiate an international cybersecurity norm insisting international software manufacturers demonstrate product security and transparency. They showed how a global community can rally to solve cybersecurity challenges that have existed for decades. This led to twenty of the largest international software vendors creating the Minimum Viable Secure Product (MSVP) Working Group to address the requirements levied by these documents; CISA has joined this working group to help shape procurement, contractual controls, self-assessment, and system development lifecycle (SDLC) with these vendors. (CISA, 2024d; MSVP, n.d.) This research argues that the U.S. National Security Council (NSC) should leverage the talent pool of CISA, National Institute of Standards and Technology (NIST), Department of Defense (DoD), FBI, and NSA to improve detection, information sharing, security standards, and implementation for not only the U.S.’s government and commercial sectors, but also helps our allies and partners. The DoD and Office of the Director of National Intelligence (ODNI) have made great strides in improving security by integrating improvements with Zero Trust Architecture (ZTA), Supply Chain Risk Management (SCRM), Software Supply Chain Security, Cybersecurity Safety Review Board (CSRB), Cybersecurity Incident & Vulnerability Response Playbooks, and DoD National Security Systems (NSS) standards. The NSC should coordinate through CISA to develop a collaborative effort to not only benefit the U.S. critical infrastructure but also help our allies and partners.

Police Cloud: Functional modularity in China's cloud public security infrastructure

AbstractGlobally, China's Ministry of Public Security has one of the largest appetites and regulatory scopes for new technology use in policing. Using the case study of Police Cloud—a cloud infrastructure project, this paper examines a national wave of cloud migration initiated in Shandong in 2013. Police Cloud began to tackle the deep‐rooted challenges of information sharing across all levels of government. The analysis draws upon a dual dataset of government documents (n = 10) and newspaper articles (n = 277), qualitatively triangulated with Chinese academic articles and grey literature. The findings show how the Ministry of Public Security's switch to platformization triggered an overall change in public security governance. Contrary to platform policing experiences in other parts of the world, the Ministry of Public Security adopted Police Cloud by aiming to retain autonomy and control over private providers. Police Cloud also began enabling functional modularity of surveillance elements of China's public security.

Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research

Background:Art. 50 of the proposal for a Regulation on the European Health Data Space (EHDS) states that “health data access bodies shall provide access to electronic health data only through a secure processing environment, with technical and organizational measures and security and interoperability requirements”. Objective:To identify specific security measures that nodes participating in health data spaces shall implement based on the results of the IMPaCT-Data project, whose goal is to facilitate the exchange of electronic health records (EHR) between public entities based in Spain and the secondary use of this information for precision medicine research in compliance with the General Data Protection Regulation (GDPR). Data and methods:This article presents an analysis of 24 out of a list of 72 security measures identified in the Spanish National Security Scheme (ENS) and adopted by members of the federated data infrastructure developed during the IMPaCT-Data project. Results:The IMPaCT-Data case helps clarify roles and responsibilities of entities willing to participate in the EHDS by reconciling technical system notions with the legal terminology. Most relevant security measures for Data Space Gatekeepers, Enablers and Prosumers are identified and explained. Conclusion:The EHDS can only be viable as long as the fiduciary duty of care of public health authorities is preserved; this implies that the secondary use of personal data shall contribute to the public interest and/or to protect the vital interests of the data subjects. This condition can only be met if all nodes participating in a health data space adopt the appropriate organizational and technical security measures necessary to fulfill their role.

CLIMATE CHANGE CHALLENGES IN BANGLADESH

Climate change is a pervasive global challenge with far-reaching implications for both the environment and human society. A thorough comprehension of these repercussions is essential in crafting effective strategies to mitigate their effects. Climate change, a major threat to sustainable development, impacts the environment, economy, natural resources, food security, human health, and physical infrastructure globally. Bangladesh stands out among affected nations due to geographical and socio-economic vulnerabilities. Despite its vulnerability, Bangladesh has successfully mitigated the impact of extreme events over the years. This study focuses on examining climate change, its outcomes, and mitigation initiatives in Bangladesh. It endeavors to offer a comprehensive analysis of the current climate scenario in Bangladesh, delving into pivotal trends, impacts, adaptation strategies, and evaluating the effectiveness of national policies, legal frameworks, involvement of local governments, non-governmental organizations, and international collaborative efforts in developing an efficient disaster risk reduction and anticipatory action system. Despite achievements, safeguarding the livelihoods and properties of vulnerable communities from disaster-induced loss and damage remains a challenge. Additionally, addressing past adaptation failures is crucial. The paper highlights the necessity to enhance disaster risk reduction, green economy, promote economic development, implement government policies, and bolster anticipatory action systems, emphasizing the pivotal role of establishing a locally led climate-resilient system in addressing these challenges.

Enhancing Cloud Computing Security Through Artificial Intelligence-Based Architecture

Cloud computing has become an integral part of modern digital infrastructure, offering scalable resources and convenient access to data and services. However, ensuring robust security within cloud environments remains a critical challenge. In this paper, we propose an Artificial Intelligence-Based Architecture (AIBA) designed to enhance cloud computing security. By leveraging the capabilities of artificial intelligence, including machine learning and deep learning, the proposed architecture aims to detect, prevent, and mitigate various security threats in cloud systems. Through a combination of advanced algorithms, real-time monitoring, and adaptive responses, AIBA offers proactive defense mechanisms against cyber attacks, data breaches, and unauthorized access. We discuss the key components and functionalities of AIBA, as well as its potential applications and benefits in strengthening cloud security infrastructure.