Security Trends Research Articles

A bibliometric study toward quantitative research assessment of security of machine learning

Purpose Advances in machine learning (ML) have made significant contributions to the development of intelligent and autonomous systems leading to concerns about resilience of such systems against cyberattacks. This paper aims to report findings from a quantitative analysis of literature within ML security to assess current research trends in ML security. Design/methodology/approach The study focuses on statistical analysis of literature published between 2000 and 2023, providing quantitative research contributions targeting authors, countries and interdisciplinary studies of organizations. This paper reports existing surveys and a comparison of publications of attacks on ML and its in-demand security. Furthermore, an in-depth study of keywords, citations and collaboration is presented to facilitate deeper analysis of this literature. Findings Trends identified between 2021 and 2022 highlight an increase in focus on adversarial ML – 40\% more publications compared to 2020–2022 with more than 90\% publications in journals. This paper has also identified trends with respect to citations, keywords analysis, annual publications, co-author citations and geographical collaboration highlighting China and the USA as the countries with highest publications count and Biggio B. as the researcher with collaborative strength of 143 co-authors which highlight significant pollination of ideas and knowledge. Keyword analysis highlighted deep learning and computer vision as the most common domains for adversarial attacks due to the potential to perturb images whilst being challenging to identify issues in deep learning because of complex architecture. Originality/value The study presented in this paper identifies research trends, author contributions and open research challenges that can facilitate further research in this domain.

Current Trends in ICT Security: A Comprehensive Overview of Machine Learning and Soft Computing Applications

In an era marked by pervasive digitization, information and communication technology (ICT) security stands as a cornerstone of our digital infrastructure. The rapid evolution of cyber threats necessitates equally agile defence mechanisms. This research paper provides a comprehensive overview of the contemporary landscape of ICT security with a specific focus on the emergent trends in machine learning (ML) and soft computing (SC) applications. The paper commences by outlining the escalating challenges posed by cyber adversaries, underlining the inadequacy of traditional security paradigms in contending with the intricacies of modern-day attacks. This backdrop emphasizes the need for innovative, adaptable, and intelligent approaches to bolster ICT security.

Forecasting trends in food security with real time data

Early warning systems are an essential tool for effective humanitarian action. Advance warnings on impending disasters facilitate timely and targeted response which help save lives and livelihoods. In this work we present a quantitative methodology to forecast levels of food consumption for 60 consecutive days, at the sub-national level, in four countries: Mali, Nigeria, Syria, and Yemen. The methodology is built on publicly available data from the World Food Programme’s global hunger monitoring system which collects, processes, and displays daily updates on key food security metrics, conflict, weather events, and other drivers of food insecurity. In this study we assessed the performance of various models including Autoregressive Integrated Moving Average (ARIMA), Extreme Gradient Boosting (XGBoost), Long Short Term Memory (LSTM) Network, Convolutional Neural Network (CNN), and Reservoir Computing (RC), by comparing their Root Mean Squared Error (RMSE) metrics. Our findings highlight Reservoir Computing as a particularly well-suited model in the field of food security given both its notable resistance to over-fitting on limited data samples and its efficient training capabilities. The methodology we introduce establishes the groundwork for a global, data-driven early warning system designed to anticipate and detect food insecurity.

Dual-Use “New Space”: US Experience

The article explores the growing involvement of private space companies in military activities, with a primary focus on the United States. It delves into the specific contributions of private entities to national defense missions, particularly in the militarization of outer space. The authors analyze the strategic interests of government agencies in integrating non-state actors to enhance space capabilities, such as communication, Earth observation, situational awareness, and in-orbit servicing. The paper also assesses the potential implications of these trends for international security, highlighting the complexities that arise from the blurred lines between civil and military space operations. It points to the creation of the U.S. Commercial Augmentation Space Reserve (CASR), an initiative aimed at enhancing defense through commercial space partnerships, and discusses the operational and strategic challenges of managing vast satellite constellations. Additionally, the article reflects on the security risks posed by the militarization of commercial space infrastructure, examining the potential consequences for geopolitical stability and the future of space conflict management. Finally, it suggests that further research and regulatory measures are necessary to mitigate the military threats linked to the New Space

Advanced Encryption Techniques for Database Security in Cloud Environments

This technical article explores advanced encryption techniques for enhancing database security in cloud environments, addressing the growing need for robust data protection as organizations increasingly migrate to cloud-based solutions. The article covers encryption standards such as AES-256, RSA, and Elliptic Curve Cryptography, as well as key management approaches using Hardware Security Modules (HSMs) and Key Management Services (KMS). It also delves into cutting-edge concepts like homomorphic encryption and quantum-resistant algorithms. The discussion encompasses performance optimization strategies and regulatory compliance considerations, providing a comprehensive overview of the current state and future trends in cloud database security.

Security Trends in Internet-of-things for Ambient Assistive Living: A Review

Abstract: The Internet of Things (IoT) has revolutionized our society and become indispensable to modern existence. The IoT allows users to access their electronic gadgets from any location. The widespread adoption of IoT across sectors, from manufacturing to surveillance to elder care, has contributed to its rising profile. New security risks and challenges arise with the growth of the IoT. With the development of IoT, the likelihood of an attack by hackers has increased. The burden of addressing these dangers falls on researchers and security professionals. This article looks into the challenges of IoT security in a real-world Ambient Assisted Living (AAL) environment. This work discusses the numerous security attacks employed by cybercriminals in AAL IoT. In addition, this research investigates the varied responses to the risks. We discussed the state-of-the-art technologies available for protecting AAL IoT networks. This work analyses and compares the majority of the latest technologies available. In conclusion, we offer a few suggestions for where the field could go from the current scenario

The Shortest Nuclear Route to Climate Tipping Points to Great Power Competition: Tracing Arctic Security from the Cold War to Now

<p>Arctic security has been growing in popularity across academia, policymaking, and news media. However, this popularity has come with a notable question: what does Arctic security mean and what knowledge underpins it? This study traces the discourse on Arctic security from the Cold War to present examining the emergence of different types of security which range from more traditional variants to wider and deeper readings such as environmental and comprehensive security. I identify key strands of Arctic security discourse, trace their interaction over time, and periodize the region. While the Cold War era was dominated by nuclear and traditional security logics, there have been three main shifts since then including 2) 1990s-2007, 3) 2007-2019, and 4) 2019-present. This research finds that Arctic security knowledge clearly follows global security trends. Thus, as security has widened and deepened globally, so too have the potential meanings of Arctic security expanded. However, there is a clear hierarchy in today’s general discourse regarding what issues take center stage for the Arctic such as great power competition and climate change. This is in contrast to the Arctic Council, which takes into account all but military security definitions for Arctic security and integrates them in a relatively balanced way. This has implications for ocean governance institutions and the degree to which traditional military security concerns should be left out of broader ocean governance.</p>

The Role of API Security in Modern Enterprise Platforms

This article explores the critical role of API security in modern enterprise platforms, addressing the growing importance of protecting Application Programming Interfaces (APIs) as they become increasingly central to digital ecosystems. We examine the fundamental challenges organizations face in securing their APIs, including authentication, data encryption, rate limiting, and version management. The paper presents a comprehensive overview of best practices for API security, such as implementing OAuth and token-based authentication, utilizing Transport Layer Security (TLS), deploying API gateways, and conducting regular audits. We discuss implementation strategies that integrate security throughout the API development lifecycle and highlight the importance of developer training. Through case studies, we illustrate both successful API security implementations and lessons learned from security breaches. The article also looks ahead to future trends in API security, considering the impact of emerging technologies like AI and quantum computing, as well as the evolving threat landscape. By providing a thorough analysis of current practices and future directions, this paper aims to equip organizations with the knowledge needed to develop robust, secure, and scalable API infrastructures that can support innovation while protecting critical data and resources in an increasingly interconnected digital world.

Trends in the retirement security of Black and Hispanic households in the US: A setback for Black Americans but continued progress for Hispanics

Retirement income security refers to the ability of households to provide an adequate stream of income during the period of their retirement from the labor force. Expected retirement income is based of four components: (i) standard non-pension wealth holdings, (ii) defined contribution (DC) pension holdings, (iii) actual or expected defined benefit (DB) pension entitlements, and (iv) actual or expected Social Security benefits. The first two components are converted into an annuity. All the data (except rates of return) for these calculations are available from the Survey of Consumer Finances. Results indicate that both Black and Hispanic households made remarkable progress in terms of mean and median retirement income, poverty reduction, and replacement rates from 1989 to 2007 in both absolute terms and relative to whites. However, for Black households, this was followed by a reversal of fortune from 2007 to 2019, with expected median retirement income declining, the projected poverty rate rising, and the projected replacement rate falling, though expected mean retirement income does rise. Hispanics also experienced a setback in mean retirement income but continued progress in replacement rates and reducing poverty from 2007 to 2019.

Examining Trends in the Food–Energy–Water Security Nexus and Its Relationships with Human Development, Population Growth, and Conflict

Abundant and accessible food, energy, and water are essential to the functioning of human societies and individual health and happiness. However, growing populations, intensifying climate change, and violent instability undermine resource security. We used data from the recently updated Pardee RAND Food–Energy–Water (FEW) Index and the INFORM risk model to assess global and regional trends in resource security and relationships with the Human Development Index (HDI), internal conflict risk, and population growth. Our analysis finds that resource security has modestly improved with an average global FEW Index improvement of 2.61%, but this figure masks significant regional disparities, with several countries in Sub-Saharan Africa and South Asia regressing in terms of food and water security. We observe continued high correlations between HDI and the FEW Index (0.8664) and also find the FEW Index to be highly correlated with national income per capita (0.6547). We also find that at a global level, there is a significant negative association between trends in the FEW Index and population growth (−0.4724) during the study period, suggesting that a growing proportion of the global population is experiencing resource insecurity. Finally, our analysis suggests that several resource-insecure countries are also conflict-prone and these nations tended to do worse over the study period than similarly resource-insecure states that were internally stable.

Review on the application of data security in the enterprise management

In recent decades, cybersecurity has become a crucial topic in business management, centred around the three core elements of Confidentiality, Integrity, and Availability (C.I.A.) of information technology. Cybersecurity aims to protect IT systems and networks from cyberattacks, with data as the primary focus. In business management, strategies for addressing potential threats vary depending on the size and type of business. This writing explores the preferences for implementing cybersecurity strategies in business management and trends in the development of data security mitigation. It analyses the mitigation strategies adopted by different enterprises, identifies patterns between data security strategies and enterprise attributes, and examines the preferences and constraints faced by enterprises in developing cybersecurity programs. The study highlights trends in the implementation of data security strategies, emphasizes the importance of cybersecurity, and provides insights into future trends in digital security within enterprise management and development. It also addresses the challenges faced by businesses, particularly small and medium-sized enterprises, in implementing effective cybersecurity measures due to limited resources.

Advancing network security in fintech: Implementing IPSEC VPN and cisco firepower in financial systems

This review paper explores the critical importance of network security in the financial technology (fintech) sector, focusing on implementing IPSEC VPN and Cisco Firepower. IPSEC VPN provides secure communication through encryption, authentication, and data integrity, which is essential for protecting sensitive financial data. Cisco Firepower enhances network security with advanced threat detection and prevention capabilities. The paper discusses the challenges in deploying these technologies, including configuration complexity and integration with existing systems. Future trends in fintech security are also examined, highlighting the potential of AI-driven security measures, zero-trust architectures, and blockchain technology to address evolving cyber threats. Financial institutions can ensure robust security and operational resilience by adopting these strategies.

Digital identities in the metaverse: Privacy, security, and user authentication in virtual financial systems

The advent of the metaverse has ushered in a new era of digital interaction, commerce, and finance. As users increasingly immerse themselves in virtual spaces, the need for robust digital identities becomes paramount. This study investigates the intricate interplay of privacy, security, and user authentication within the context of digital identities in the metaverse, with a particular focus on virtual financial systems. Employing a cross-case analysis method within the qualitative research paradigm, the study extensively examines real-world instances to extract valuable insights, identify challenges, and propose potential solutions in navigating this dynamic landscape. This approach allows for a comprehensive examination of overarching patterns and trends across case studies, revealing persistent challenges in digital identity management. The study delves into the complexities of pseudonymity in virtual engagement, emphasizing the crucial balance required for user trust and accountability. Furthermore, it uncovers commonalities in successful implementations, spotlighting the transformative role of blockchain technology, exemplified by IBM Blockchain World Wire, and the growing trend of biometric authentication, as seen in the FIDO use case. The successful cases examined demonstrate that a user-friendly experience and scalability are integral to the adoption of advanced security technologies. Industry leaders should take note of the global trends in digital transactions, emphasizing efficiency, transparency and cross-border security. Additionally, the study offers forward-looking insights with implications for future research and practice, advocating for continued exploration of the nuanced dynamics between user privacy, trust-building mechanisms and accountability in the ever-evolving metaverse landscape.

Emerging Trends in Cloud Security: Zero Trust and SASE

Abstract: A lot has changed in the world of IT since cloud computing came along. Now, businesses can use shared tools and services whenever they need to. The old security models that were based on perimeters no longer work to protect cloud settings. This change has also made businesses more vulnerable in new ways. This article talks about two new security trends in the cloud: zero trust and secure access service edge (SASE). The idea behind zero trust security is that you shouldn't trust anyone or anything by default. Based on the principle of least privilege, every request for entry has to be checked out and given the goahead. SASE, on the other hand, is a cloud-based architecture that combines WAN and network security features to make it easy and safe to access cloud services. The article tells the truth about these technologies and how they will grow. It also talks about what they can do for businesses and how they will affect their security

К вопросу о моделировании системы обеспечения безопасности человека в российской Арктике

The research objective of this article is to develop an optimal model for a human security system in the Arctic Zone of the Russian Federation (AZRF). This topic has gained particular relevance as the focus of Arctic exploration has shifted to include human interests, needs, concerns, and threats to human security. Despite this shift, the concept of human security has not yet been incorporated into the strategic documents of the Russian Federation that outline development priorities for the AZRF, nor into practical policies at the federal, regional, or municipal levels. This study employs qualitative methods of systems modeling and elements of quantitative analysis to create a human security index for the AZRF. The novelty of this study lies in its analysis of the existing human security system in the AZRF, identifying the key elements of the management mechanism, their interrelationships, and the challenges in the mechanism's functioning. Based on this analysis, specific recommendations are proposed to optimize the structure of public administration in this area and to improve the effectiveness of interactions between government structures, businesses, and civil society organizations (including indigenous peoples' organizations) operating in the AZRF. Additionally, the study develops a set of specific indicators describing various aspects of the human security system in the region. In accordance with UN recommendations, these indicators are classified into seven groups, covering economic, food, health, environmental, personal, cultural, linguistic, and political aspects of human security. Using these indicators, the study proposes to create a human security index for the Russian Arctic. This index will enable the monitoring of human security trends in the AZRF and inform adjustments to government policy in this area.

The Impact of Religion on Secular Life and Some Mainstream Religious Security Trends in the Coming Time in Vietnam

In the context of many internationally unpredictable fluctuations, hostile forces have been causing religious life in Vietnam to suffer many negative impacts. Many subjects have taken advantage of loopholes in state management of religion to distort Vietnam’s policies, causing internal conflicts. In many cases, a very small incident or a normal conflict in religion that can be exaggerated, distorted, and perverted to become serious; a religious incident in an area or locality that can easily be amplified into an international issue; an event that is only a phenomenon, but can be perverted to become a nature; an issue that is partial, but can easily turn into a whole; a story that is very ordinary, but can be turned into a complicated one. In the article, the author analyzes some of the main impacts of religion on secular life in Vietnam today, and some religious security trends in the coming time.

UKRAINIAN MILITARY EDUCATION: ЕURO-АTLANTIC VECTORS OF TRANSFORMATION

The article provides a systematic analysis of the state's political vectors in the field of military education. Determining the strategic course of Ukraine towards full membership in the European Union and the North Atlantic Treaty Organization has become a priority task for the security and defense sector in the field of military education. It is proved that the activities of the military education system are regulated both by the normative documents on the basis of which the military education system directly functions and by the normative legal documents relating to the higher education system in general. Changes in the legislation and regulatory framework of higher education are systematized. The main state documents that facilitate the implementation of the best practices of NATO partner countries in the training of modern Ukrainian military personnel are identified. The main tasks of the Strategy for the Development of Higher Education in Ukraine, in accordance with the UN Sustainable Development Goals, to intensify cooperation between Ukraine and the European Union in the field of higher education, which are necessary for reforming and modernizing the higher education system, promoting convergence in higher education within the framework of the Bologna Process, improving the quality and increasing the importance of higher education, deepening cooperation between higher education institutions, and enhancing the mobility of students, researchers, research and teaching staff are identified. The main provisions of the Policy of the Ministry of Defense of Ukraine in the field of military education and the Concept of Transformation of Military Education of Ukraine, which focus on the professionalization of military education, organization of continuous professional development, systematic study of national and international security trends, as well as changes in the principles and methods of armed struggle in the context of integration into the Euro-Atlantic security space, are analyzed. The significant role of the NATO DEEP-Ukraine program in the process of updating and optimizing the curricula of domestic military universities is determined.

Designed for safety: characteristics and trends in crime prevention through environmental design research

ABSTRACT Under the dual pressures of repeated impacts from the pandemic and global economic downturn, the deterioration trend of social security is evident. In 2021 and 2022, the United Nations consecutively emphasized the centrality of reducing and preventing recidivism, aiming to foster research and practices in crime prevention. Developing and applying crime prevention through environmental design (CPTED) theory provides a viable approach to reducing crime. Utilizing the relevant literature on environmental design for crime prevention from the Web of Science Core Collection database and employing Cite Space software, this study systematically delineates the research trajectory of crime prevention through environmental design. The research uses bibliometrics and literature analysis methods to identify research hotspots and trends in the field. Building upon these findings, the study proposes that future research in CPTED should systematically explore the spatiotemporal heterogeneity of the impact of urban built and social environments on crime. It also advocates for in-depth investigations into the long-term causal relationship between environmental features and crime under the framework of CPTED. The study emphasizes the exploration of the local applicability of CPTED theory under conditions of multiculturalism and regional differences. This helps to propose crime prevention strategies for new social issues and crime patterns, thereby providing strong support for the sustainable development of cities.

Latest Challenges and Trends in Network Security: Facing Cyber Threats in the Digital Era

Latest Challenges and Trends in Network Security: Facing Cyber Threats in the Digital Era

Research Trends in Artificial Intelligence and Security—Bibliometric Analysis

This paper provides a bibliometric analysis of current research trends in the field of artificial intelligence (AI), focusing on key topics such as deep learning, machine learning, and security in AI. Through the lens of bibliometric analysis, we explore publications published from 2020 to 2024, using primary data from the Clarivate Analytics Web of Science Core Collection. The analysis includes the distribution of studies by year, the number of studies and citation rankings in journals, and the identification of leading countries, institutions, and authors in the field of AI research. Additionally, we investigate the distribution of studies by Web of Science categories, authors, affiliations, publication years, countries/regions, publishers, research areas, and citations per year. Key findings indicate a continued growth of interest in topics such as deep learning, machine learning, and security in AI over the past few years. We also identify leading countries and institutions active in researching this area. Awareness of data security is essential for the responsible application of AI technologies. Robust security frameworks are important to mitigate risks associated with AI integration into critical infrastructure such as healthcare and finance. Ensuring the integrity and confidentiality of data managed by AI systems is not only a technical challenge but also a societal necessity, demanding interdisciplinary collaboration and policy development. This analysis provides a deeper understanding of the current state of research in the field of AI and identifies key areas for further research and innovation. Furthermore, these findings may be valuable to practitioners and decision-makers seeking to understand current trends and innovations in AI to enhance their business processes and practices.