Security Services Research Articles

Blockchain in digital notary services

The purpose of the study is to determine the future application of blockchain technology. Protection of rights, as well as legal interests of citizens and legal entities is the main postulate of notary activity. Only through the prism of this provision should one consider the possible application of blockchain technology in the notary. This includes studying the possibilities of the blockchain for verifying the authenticity of documents, automating registration actions. The relevance of the study is related to the need for modern notaries to meet the requirements of the digital world. The research is based on the application of an interdisciplinary approach, civil law and information technology, which combines the analysis of legal aspects with modern technological research. To study legislative aspects, methods of comparative analysis and synthesis were used, which includes an analysis of the legislation of Ukraine and other countries. The empirical method consists in researching existing examples of implementation of blockchain projects in EU and US notary offices. Analysis and modeling were carried out taking into account the architecture of blockchain networks, their capabilities in terms of information protection, authentication and legal validity of digital records. The study found that blockchain technology has significant potential for the notary industry due to its decentralized nature and high level of data protection. It has been established that the implementation of the blockchain allows for the creation of a reliable database for recording notarial actions, ensuring the impossibility of forgery or loss of information. The results of the study confirmed the possibility of using blockchain for digital recording of documents and automation of notarial procedures, which allows to reduce time costs and the risk of human errors. The experience of countries that have already implemented blockchain in the notary office indicates an increase in the level of trust in notary services and a reduction in bureaucratic procedures. The application of blockchain in the notarial sphere can fundamentally change the mechanisms of notarial actions, increasing security, convenience and speed of service. The use of decentralized networks ensures the reliability of data, which makes it impossible to forge them and makes procedures transparent. However, for the full implementation of such decisions, it is necessary to create an appropriate regulatory framework, adapt Ukrainian legislation and ensure the training of specialists for work in the conditions of digital notary.

Ergonomics in Management of Stress amongst the Night Shift Workers: A Preliminary Review

Working on night shift is basically going against the circadian rhythm. Biological clock inside the human insists to fixed working status on daytime and rest/sleep at night. Ergonomics deals with providing a healthy relation between man machine and environment, where man fits to the job generates ultimate productivity. People in the east who are compromised to adjust in low to middle income are the main sufferers of not having optimum sleep. The population of security services, drivers, loco-pilots, nurses, tele-sales, IT professionals, various millworkers etc. often have shift based jobs and tries to accustom in it by compromising the biological clock. Many research evidences have been showed that alterations in biological clock lead to cause severe insomnia & shift work sleep disorder leading in disturbing occupational health as well as safety. Even sudden alterations in the biological clock lead cause accident, injuries alike from common health distresses. Alteration in the work rest cycle, taking sufficient rest in between the works, getting sufficient scopes in changing postures by arrangements of refreshments in the work place can help in optimizing productivity in the work place. Rotational shift with dynamic posture based work may lower the tendencies of accident and risk associated with night shift based work.

Comprehensive cost analysis of voice call recording storage with and without NAS and GSM gateway integration via unified communication server

This study is an extension of existing research, which previously demonstrated the effective integration of Network Attached Storage (NAS) with a GSM Gateway into Unified Communication (UC) Platform, thereby realizing remarkable enhancements in system scalability, data security, privacy, network and overall server performance. Although the technical and operational benefits of this integration were well understood and documented, however there was an important gap that is cost analysis. This paper addresses the gap by providing a comprehensive cost analysis of voice call archiving with and without NAS and GSM Gateway integration using UC. The analysis considers essential financial factors, including initial investment, ongoing operational costs, and long-term savings due to lower maintenance and scalability. While the findings reveal that the upfront costs of NAS and GSM Gateway integration are higher, these are offset by long-term operational efficiencies and system resilience, leading to substantial financial gains. The evaluation results offer organizations a strategic model to assess the cost-effectiveness of using this NAS-GSM Gateway integrated approach for voice data archiving in UC environments. This custom-costing solution provides a much-needed holistic perspective on the combined technical and financial benefits.

Watching the Spies: The Swedish Security Police and the Soviet Legation in Stockholm 1939–1945

With the German and Soviet attacks on Poland on 1 and 17 September 1939, respectively, Sweden’s secret security service, the Allmänna säkerhetstjänsten, was activated. Over the next six years, until 1945, the two operative agencies of this organization—the Central Agency (Centralbyrån) for the control of the means of transportation (also referred to as the Trafikmedelskontrollen) and the Scouting Agency (Spaningsbyrån), or more precisely, its executive organ, the so-called Sixth Squad (Sjätte roteln) of the Stockholm Criminal Police, collected massive amounts of intelligence, inter alia, with regard to the Soviet legation in Stockholm. On the basis of a review of the documents generated through this work—material that has not been the subject of research before—this study addresses how the Sjätte roteln, through observation and learning, elaborated routines for handling the challenges of collecting and reporting intelligence on the inner life and espionage of the Soviet legation.

An Innovative Method for Improving the Performance of UAV‐SM‐NOMA for 6G Networks Over Generalized Fading Channels

ABSTRACTThe emergence of 6G wireless communications has brought numerous challenges and opportunities for meeting the growing demands of enhanced system capacity, higher data rates, lower latency, improved security, and stringent quality of service (QoS) requirements. One promising solution to tackle these challenges involves utilizing unmanned aerial vehicles (UAVs) in conjunction with nonorthogonal multiple access (NOMA) and spatial modulation (SM). However, optimizing the performance of UAV‐based SM‐NOMA systems for both perfect and imperfect channel state information (CSI) over generalized fading channels (α–μ, k–μ and η–μ) while simultaneously considering multiple objectives is a complex task. To address these challenges, this paper proposes integrating the monarch butterfly optimization algorithm (MBOA) into UAV‐SM‐NOMA systems for 6G networks. Inspired by the foraging behavior of monarch butterflies, the MBOA aims to enhance UAV‐based SM‐NOMA systems' performance by optimizing resource allocation, increasing system sum rate, reducing outage probability (OP) and bit error rate (BER), improving spectrum efficiency (SE), and ensuring desirable signal‐to‐interference‐plus‐noise ratio (SINR) levels. Key findings include that the MBOA effectively improves performance metrics across generalized fading channels compared to existing UAV‐assisted NOMA and orthogonal multiple access (OMA) models. Simulation results confirm that the proposed UAV‐assisted SM‐NOMA model with MBOA significantly outperforms conventional approaches, demonstrating superior capacity, reliability, and efficiency in 6G network scenarios.

Tietoturvan ja sisällöllisen saavutettavuuden diskurssit pankkialalla

The aim of the study is to find out how banks’ accessibility experts and customer service staff talk about the accessibility and information security of online banking services. The focus is on content accessibility, in which the content of the communication is understandable and easy to adopt. Research material was collected from accessibility experts and customer service representatives through interviews and a survey. Discourse analysis is used as a method of analysis. The results of the study show that content accessibility and information security are approached through equality, the bank’s reputation, and the security of services. As a conclusion of the study, it can be stated that information security offers a concrete perspective on content accessibility and emphasizes that it is an advantage for the bank to meet more than the minimum accessibility requirements in its online banking services, whereby the meaning of the language used in the content of the services is emphasized.

A Sustainable urban renovation assessment model (SURAM) for enhancing elderly-friendly environments

The rapid increase in the aging population has raised significant concerns about the living conditions and well-being of elderly residents in old communities. This study addresses these concerns by proposing a Sustainable Urban Renovation Assessment Model (SURAM) specifically designed to enhance elderly-friendly environments in Chongqing City. The model encompasses multiple dimensions, including the comfort of public facilities, service safety and convenience, medical travel services, infrastructure security, life service convenience, neighbor relations, ambulance aid accessibility, commercial service facilities, privacy protection, elderly care facilities and service supply, and medical and health facilities. By employing factor analysis, the study reduces the dimensionality of the 49 indicator factors, allowing for a more focused and comprehensive evaluation of the effectiveness of aging-friendly renovation efforts. The main factors identified in the proposed model include community infrastructure security, elderly comfort of community public facilities, completeness and convenience of surrounding living services, and security and convenience of elderly care services. The results reveal that the age-appropriate comfort of public facilities plays a significant role in achieving successful aging-appropriate renovation outcomes. The findings demonstrate that by addressing specific needs such as safety, accessibility, and convenience, communities can significantly improve the quality of life for elderly residents. Moreover, the application of SURAM provides actionable insights for policymakers, urban planners, and community stakeholders, guiding them in implementing targeted initiatives for sustainable and inclusive urban development.

OS DESAFIOS DA PROTEÇÃO DO CONSUMIDOR NO COMÉRCIO ELETRÔNICO

With technological advances, a large part of everyday activities have migrated to the virtual environment, causing legislation to adapt to ensure citizens' rights in all situations. Consequently, e-commerce has grown exponentially in recent decades, bringing numerous benefits but also significant challenges for consumer protection. Considered vulnerable and, therefore, insufficient, consumers have been even more exposed to risky situations when concluding electronic contracts, which is why this article aims to present the biggest challenges to consumer protection in the virtual environment. To this end, the research uses the deductive method of study, carried out through bibliographical consultation of legislation, doctrine and jurisprudence, aiming to protect consumers in the face of online transactions, data security and quality of products and services contracted via the internet. Furthermore, it is intended to examine existing regulations at national level aimed at protecting consumers in the digital environment and the application of CDC articles in these cases, while there is no specific legislation for these contracts.

An overview of Applied Artificial Intelligence in Power Grids

Power grids are networks of lines and equipment used for electrical power generation, transmission, distribution, and consumption. Power grids are undergoing a process of digital transformation based on emerging information and communication technologies, with the aim of optimising the operation of power systems, increasing efficiency, reliability, sustainability, security, and quality of service, while reducing CO2 emissions. In this process of digital transformation, Artificial Intelligence (AI) has become a strategic element within power grids. This paper provides an overview of AI applications in power grids and how they can improve the efficiency, reliability, and availability of their processes. It analyses the main challenges and prospects for the future application of AI in power grids. AI applications help process large volumes of data and generate insights, with a focus on two primary functions: supporting operations and aiding strategic decision-making. These factors highlight the significant potential for AI application in power grids and solidify AI as a strategic key to the development of smart grids.

AS OPERAÇÕES COM CÃES COMO FERRAMENTA DE MENOR POTENCIAL OFENSIVO NA GESTÃO DA SEGURANÇA PÚBLICA NO BRASIL

This work was developed during professional experience within a public security institution at the municipal level, formed by men, women and dogs, based on hierarchy and discipline, where I have the honor to serve for approximately 18 years and currently, whose focus is in the administration and direction of the CANIL unit of this institution, in the resources allocated and developed by each department, as well as highlighting all the work carried out by the sectors and agents that make up this respective specialized unit. Contextualizing the work of the police dog (K9) and its tutors in contemporary times, aiming at meeting the priorities contained in the planning prepared by the institution's "CANIL" unit. Priorities that are a national reference for excellence in the provision of services in operations and presentations with their dogs (K9), thus increasing satisfaction and credibility, not only with organizations that also enjoy the services provided by the CANIL of the Metropolitan Civil Guard of the city of São Paulo, but the main consumer of public security services, the citizen. Always concerned about the welfare of our animals.

Enhancing Security in Low-power Wide-area (LPWA) IoT Environments: The Role of HSM, Tamper-proof Technology, and Quantum Cryptography

Low-power wide-area (LPWA) networks are integral to expanding Internet of Things (IoT) applications, offering extensive coverage with low power consumption. However, these networks face significant security challenges due to their widespread deployment and inherent constraints. In order to provide secure services in an LPWA IoT environment, important information stored in IoT devices (encryption keys, device unique numbers, etc.) must be safely protected from external hacking or theft by physical access, and it is necessary to develop tamper-proof technology to enhance physical security. Meanwhile, with so many ruggedized IoT devices processing and transmitting sensitive information, security systems are essential to protect the integrity and privacy of IoT data. This paper explores the critical role of hardware security modules (HSMs), tamper-proof technology, and quantum cryptography in enhancing the physical, network, and data security of LPWA IoT environments. We propose operational strategies for HSMs, tamper-proof technology in ruggedized LPWA IoT settings, and a quantum key distribution (QKD)-based IPsec solution for robust network and data security.

Securing DNS over HTTPS traffic: a real-time analysis tool

DNS over HTTPS (DoH) is a developing protocol that uses encryption to secure domain name system (DNS) queries within hypertext transfer protocol secure (HTTPS) connections, thereby improving privacy and security while browsing the web. This study involved the development of a live tool that captures and analyzes DoH traffic in order to classify it as either benign or malicious. We employed machine learning (ML) algorithms such as K-Nearest Neighbors (K-NN), random forest (RF), decision tree (DT), deep neural network (DNN), and support vector machine (SVM) to categorize the data. All of the algorithms, namely KNN, RF, and DT, achieved exceptional performance, with F1 scores of 1.0 or above for both precision and recall. The SVM and DNN both achieved exceptionally high scores, with only slight differences in accuracy. This tool employs a voting mechanism to arrive at a definitive classification decision. By integrating with the Mallory tool, it becomes possible to locally resolve DNS, which in turn allows for more accurate simulation of DoH queries. The evaluation results clearly indicate outstanding performance, confirming the tool's effectiveness in analyzing DoH traffic for network security and threat detection purposes.

Construction of Smart Clothing Service System for the Health and Well-Being of the Aging Community in a Sustainable Society

Objective: The phenomenon of global aging is becoming more and more severe, and security services such as nursing and guardianship for the elderly have become the focus of social attention. According to the data released by the World Health Organization, by 2030, one out of every six people will be over 60 years old. By 2050, the world population will be 2.1 billion over 60 years old, and the number of people over 80 years old will reach 460 million. This paper aims to monitor the health and services of aging clothing intelligently for the health and well-being of the aging community in a sustainable society, starting from the physiological and psychological needs of the new elderly. Theoretical Framework: In the age-appropriate smart clothing service system, the critical link is to construct the human-computer interaction mode of clothing and wearable devices, establish a design paradigm from single interaction to multi-interaction, and form a service terminal based on smart wearable. Method: This paper designs an aging smart clothing design system using field research, questionnaires, interviews, etc., analyzes the aging smart wearable clothing evaluation system, and constructs aging smart clothing that meets the actual needs of health and well-being for the elderly in a sustainable society. Results and Discussion: In this research, The results obtained sustainable design theories and methods combined with interdisciplinary research tools as the basis of data analysis from the aging intelligent clothing product design system, age-appropriate smart clothing service system, and age-appropriate smart clothing evaluation system. Research Implications: Population aging has been the basic national condition of our country for quite a long time in the future, and "healthy aging" is a strategic measure put forward by the government around the intelligent care service system for the elderly, communities, and institutions. Important direction. Among them, how to build an age-appropriate smart wearable product service system has become the main development content. Therefore, its intelligence and synergistic combination with terminals such as communities, caregivers, and hospitals will become the trend of smart elderly care. Originality/Value: This study contributes to Construct a systematic design of a new intelligent wearable clothing service system for the elderly, which is a great of significance for improving the service quality index of the health and well-being of the elderly. At the same time, it is of great value to expand and deepen the concept of sustainable design.

THE ROLE OF INTELLIGENCE IN NIGERIA'S NATIONAL SECURITY: A CRITICAL ASSESSMENT (2011-2023)

This paper systematically analyses the function of intelligence in Nigeria's national security between 2011 and 2023, with a specific emphasis on countering both established and developing risks including terrorism, insurgency, banditry, cybercrime, and oil theft. The analysis reveals notable deficiencies in inter-agency cooperation, technology integration, and the incorporation of community-based intelligence, which have impeded the efficacy of intelligence operations, despite substantial investments in intelligence infrastructure. Based on Rational Choice Theory, this analysis assesses the methods by which intelligence organizations collect, analyse, and employ intelligence to reduce security threats. The study utilizes a research design that involves a thorough literature analysis to assess the current academic research on intelligence and national security in the Nigerian setting. The results emphasize the necessity for more cooperation among security services, better integration of technology, and further engagement of the community in intelligence operations. This study enhances scholarly discourse and offers practical suggestions for policymakers to bolster Nigeria's intelligence infrastructure in tackling its intricate security issues.

An Efficient DDoS Attack Detection and Prevention Model using fusion Heuristic Enhancement of Deep Learning Approach in FANET Sector

Problem OverviewA Flying Ad-hoc Network (FANET) is a decentralized communication network formed by Unmanned Aerial Vehicles (UAVs). However, it faces significant security challenges due to its decentralized nature and mobility. One of the most critical threats is the Distributed Denial-of-Service (DDoS) attack, which aims to overcome the network by flooding it with malicious actions, disrupting communication, and causing system failures. The primary challenge lies in detecting and mitigating such attacks in real-time, given the dynamic and complex nature of FANETs, where the rapid movement of UAVs complicates monitoring and defending mechanisms. MethodologyA novel detection and prevention model has been proposed to address the issue of DDoS attacks utilizing a hybrid heuristic-based machine learning approach tailored for FANET environments. The model begins by collecting necessary information using benchmark datasets to train and enhance the detection performance. The collected data is used for detecting the DDoS attack using Hybrid Deep Learning (HDL). The HDL model developed by combining Deep Temporal Convolutional Networks (DTCN) and Long Short-Term Memory (LSTM) networks, offers a powerful solution. DTCNs excel at detecting short-term, rapidly changing patterns in network traffic, which is essential for recognizing the instant effects of topology changes in FANETs. At the same time, LSTMs are designed to handle long-term dependencies and can used to the evolving patterns of UAV movement and traffic behavior over time. Here, the hyper-parameters are optimized by proposing the Hybrid of Water Strider and Cuckoo Search (HWSCS). Water Strider optimization (WSA) and Cuckoo Search Optimizer (CSO) are combined in the HWSCS algorithm. This algorithm is a versatile and powerful tool for optimizing multifaceted systems across different fields. Its combination of local and global search abilities allows it to find optimal solutions in complicated environments, making it invaluable for tasks ranging from machine learning to network security and beyond. In network security, HWSCS is effective in optimizing the parameters of intrusion detection systems, particularly in detecting complex cyber threats like DDoS attacks, ensuring more accuracy while reducing false positives. After detecting the DDoS attack, it is prevented from communication by establishing the routing process. This routing process involves rerouting the network traffic away from the affected areas and towards secure servers, effectively isolating the attack and minimizing its impact on the network. Additionally, it allows for greater flexibility and adaptability in responding to evolving threats in realtime. Here, the attack mitigation is accomplished by finding the Optimal Link State Routing (OLSR), estimated by the hybrid HWSCS algorithm. This algorithm determines the most efficient path for redirecting traffic away from the targeted servers, preventing overload, and maintaining network stability. The integration of HWSCS with OLSR not only improves network security but also proves the importance of innovative solutions in protecting malicious activities. Lastly, the model's performance is validated and measured with different metrics. ResultsThe proposed model demonstrated superior performance compared to traditional models. It achieved a recall of 93.87, significantly higher than other approaches like 89.22 for MobileNet, 89.40 for DTCN, 88.44 for LSTM, and 88.35 for DTCN-LSTM. This improved detection accuracy, combined with the effective routing mechanism, ensures better prevention and mitigation of DDoS attacks in FANETs. The results confirm the model's ability to not only detect attacks but also minimize network disruption, providing a robust solution for maintaining secure and stable communication in FANET environments.

Urinary Stone Composition Analysis of 1465 Patients: The First Series from Azerbaijan

Background: Urinary stone disease is a prevalent health issue worldwide, with varying incidence influenced by multiple factors. This study aims to provide the first comprehensive analysis of urinary stone composition in Azerbaijan. Methods: A retrospective study was conducted on 1465 patients, aged 1‒83 years, who underwent biochemical urinary stone analysis at the Department of Renal Diseases and Organ Transplantation, Azerbaijan State Security Service Military Hospital, between April 2015 and December 2023. Stone samples were analyzed using Fourier transform infrared (FTIR) spectroscopy. Statistical analyses were performed using the IBM® SPSS software version 29.0. Results: The cohort had a median age of 45 years, with a male-to-female ratio of 1.65:1. Calcium oxalate stones were the most common (56.2%), followed by uric acid (33.7%), struvite (5.3%), cystine (2.5%), calcium phosphate (1.9%), and xanthine (0.1%) stones. Men had a higher prevalence of calcium oxalate and uric acid stones, while women had more struvite stones. Mixed stones were common, particularly among uric acid and struvite stones. Significant differences in stone composition were observed between age groups and genders, with uric acid stones found predominantly in older individuals. Conclusion: This study highlights the predominance of calcium oxalate stones and the elevated prevalence of uric acid stones in Azerbaijan, emphasizing the need for tailored diagnostic and therapeutic approaches. The high prevalence of mixed stones underscores the complexity of urinary stone disease and the need for comprehensive metabolic evaluation and individualized preventive strategies.

Machine learning technology for good health and well-being for sustainable human security in South Africa

The failure to achieve sustainable development in South Africa is due to the inability to deliver quality and adequate health services that would lead to the achievement of sustainable human security. As we live in an era of digital technology, Machine Learning (ML) has not yet permeated the healthcare sector in South Africa. Its effects on promoting quality health services for sustainable human security have not attracted much academic attention in South Africa and across the African continent. Hospitals still face numerous challenges that have hindered achieving adequate health services. For this reason, the healthcare sector in South Africa continues to suffer from numerous challenges, including inadequate finances, poor governance, long waiting times, shortages of medical staff, and poor medical record keeping. These challenges have affected health services provision and thus pose threats to the achievement of sustainable security. The paper found that ML technology enables adequate health services that alleviate disease burden and thus lead to sustainable human security. It speeds up medical treatment, enabling medical workers to deliver health services accurately and reducing the financial cost of medical treatments. ML assists in the prevention of pandemic outbreaks and as well as monitoring their potential epidemic outbreaks. It protects and keeps medical records and makes them readily available when patients visit any hospital. The paper used a qualitative research design that used an exploratory approach to collect and analyse data.

A Study on Consumer Satisfaction Regarding Online Vs Offline Shopping of Clothes Among Genzs in Ahemdabad City

This study investigates consumer satisfaction regarding online versus offline shopping for clothes among Generation Z in Ahmedabad, aiming to understand their preferences, behaviors, and concerns. Using a survey-based approach, the research analyzes key factors influencing their shopping experiences, such as trust, convenience, security, product quality, variety, fit, and customer service. The findings reveal that while Generation Z appreciates the convenience, discounts, and variety offered by online shopping, they still express concerns about security and confidence in product quality and fit. Offline shopping, on the other hand, is preferred for its reliability in assessing product quality, fit, and personalized customer service. The study also highlights the hybrid nature of Generation Z's shopping behavior, with many consumers using both online and offline channels based on the advantages each provides. These insights suggest that retailers should adopt an omnichannel approach, integrating online and offline experiences to enhance customer satisfaction. The practical implications for retailers include improving online security, navigation, and return processes, while maintaining high-quality in-store experiences. Recommendations for future research include expanding the study to other regions, investigating the role of emerging technologies, and exploring the impact of sustainability and ethics on shopping preferences

An Analysis of Visitor Behaviors and Satisfaction in Urban Forests: Focused on Major Forests in Incheon

Background and objective: Urban forests have increasingly integrated recreational and welfare facilities to enhance the quality of life for urban residents. This study explores the behaviors, perceptions, and satisfaction of visitors to major forests in Incheon Metropolitan City, aiming to offer guidelines for the improvement of recreational facilities within these urban forests. By understanding visitor needs and preferences, the study seeks to contribute to the development of more user-friendly and sustainable forest environments that cater to the well-being of city dwellers.Methods: The study focused on five major forests in Incheon: Munhaksan Mountain, Cheongnyangsan Mountain, Manwolsan Mountain, Wonjeoksan Mountain, and Gyeyangsan Mountain. Data were collected through field surveys and analyzed using cross-tabulation, one-way ANOVA, and regression analysis. Based on the results, targeted recommendations were made for the enhancement of recreational facilities in each forest.Results: For Munhaksan Mountain, expanding recreational spaces and offering trail-specific programs are key priorities, along with developing a maintenance plan to improve visitor satisfaction. In Cheongnyangsan Mountain, expanding popular facilities like barefoot walking paths and optimizing the forest structure for air purification and noise reduction are needed. Manwolsan Mountain requires a more efficient maintenance system, focusing on security, amenities, and visitor services to address the issue of low satisfaction. Wonjeoksan Mountain should enhance trail safety with more CCTVs and improve amenities such as restrooms and trash disposal. Gyeyangsan Mountain needs more rest areas and amenities, addressing congestion in the northwest while preserving natural scenery and providing an information platform for younger visitors.Conclusion: This study contributes to optimizing the use of urban forests and improving the quality of life for residents by proposing a strategic framework for the development of recreational welfare in forests. The findings are expected to serve as a valuable resource for local governments in formulating rational forest management and usage plans.

Gender inequality in Chinese Civil Service System: Dilemma Faced by the Female in the VUCA world

The role and socio-economic status of women in the public/private sphere are deeply influenced by a country’s historical, political, economic, and social policy development. In today’s VUCA era, the pattern of gender inequality still highlights women’s disadvantages in education, employment, social security treatment, and political participation. In such a volatile, uncertain, complex, and ambiguous era, Asian women prefer the relative stability and security of the civil service in their employment choices. Still, they are often disadvantaged in the workplace due to gender discrimination. Despite the measures taken by the Chinese government, the important goal of achieving social equality between men and women has remained an unfinished political agenda due to the lack of a holistic redistributive mechanism that promotes gender equality. In the future, the awakening of women themselves and the development of gender mainstreaming strategies and social policies will have a profound impact on the realization of gender equality in China.