ABSTRACT
Existing studies show that the outbreak of the COVID-19 pandemic has a significant impact on crime occurrences. However, it remains to be empirically examined whether the regular pandemic prevention and control measures in China can significantly affect the spatial patterns of crimes. To fill this gap, this study chosed the central urban area of Haining City in Zhejiang Province, which had taken the regular pandemic prevention and control measures, as the research area. Using standard deviation ellipse and kernel density estimation methods, this study examined the spatiotemporal patterns of theft crimes between February 2018 and July 2021 in the study area. The results show that: 1) While there were no significant changes in the hourly patterns of theft crimes within a day, the monthly number of thefts in the study area decreased by an average of 53% after the outbreak of the COVID-19 pandemic and fluctuated between 100 to 200 thefts per month. The regular COVID-19 pandemic prevention and control measures had a long-term and stable inhibitory effect on the number of theft crimes in Haining City. 2) The intensity and amount of hotspots for theft crimes in the study area decreased significantly during February 2020 and July 2021 when compared with the pre-pandemic period, and the spatial distribution patterns of theft crimes were relatively stable. 3) For the 12 crime hotspots identified for the pre-pandemic period, the monthly number of crimes decreased between 52% and 78% on average after the outbreak while trajectories of their quarterly temporal changes differed significantly. The average crime drop for the 12 hotspot areas were 63%, which was higher than that for the whole study area. 4) Seven crime-control measures were identified among the regular pandemic prevention and control measures based on the routine activity theory and the crime triangle theory. Functional type of place, geographic location, and pre-pandemic local governance ability all played an important role in affecting the actual crime-control effects of the seven regular COVID-19 pandemic prevention and control measures. The results of this study are important for understanding the spatial evolution of crimes under the influence of major public health emergencies and for formulating scientific strategies for crime prevention and control. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.
ABSTRACT
In order to analyze the impact of COVID-19 prevention and control measures on the hotspots of residential burglary, the data of crimes that occurred during the First Level Response period of Major Public Health Emergencies in Beijing in 2020 and the same period in 2019 were collected, and the changes of hotspots during the two periods were compared by using kernel density estimation and predictive accuracy index. Consequently, the environmental features such as street network, point of interest (POI) diversity, crime locations, and repeat victimization in significantly varied hotspot areas were investigated. The results show that: 1) After the outbreak of the pandemic, the occurrence of residential burglary in the core urban areas of Beijing dropped significantly, and daily occurrence of crimes during the First Level Response period in 2020 decreased by 66.8% compared with the same days in 2019. 2) The eight major hotspots that existed in 2019 apparently declined during the corresponding days in 2020, five of them basically disappeared, and three hotspots weakened. 3) The declined hotspots were generally clustered around traffic hubs, areas with high diversity of POIs, clustered crimes, and repeat victimizations. 4) Home isolation and social restriction strategies implemented during the First Level Response period reduced the opportunities of offenders, and the real-name inspection adopted in public places increased the exposure risk of offenders, which are the main reasons for the hotspots decline during the pandemic. This work has some implications for crime prevention and police resources optimization during the pandemic. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.
ABSTRACT
In the industrial era 4.0, it has surpassed increasingly complex technological advances in the information system that required a very high infrastructure and facilities and prevented fraud. Counterfeiting is a procedure following an entity, statistics, or documents (observe forged documents) with plans to deceive. Falsification of extensive information certificates is exacerbated by the current economic situation in Indonesia, which is currently occurring due to the widespread epidemic, namely COVID-19. The spread of the COVID-19 outbreak has had a significant impact and changes in all sectors, especially certificate forgery in Indonesia. The imitation of busy certificates is the main focus of this journal, focusing on journal publications combined with Blockchain technology. The sophistication of blockchain technology as authentication is comparing two or more items or additional tests to ensure the accuracy, correctness, or correctness of the information. This method uses qualitative methods with data sources based on case studies in controlled supervision with the basic concept of cryptography as the basis of analysis. From the decisions made, it is hoped that this will minimize the level of forgery of certificates widely measured during the COVID-19 era. © 2022 IEEE.
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Covid pandemic brought a significant change in the way people learn, entertain, interact and conduct business. With people working and socializing remotely, social media usage skyrocketed and provided a fertile ground to cybercriminals to exploit the platforms and its users. This paper will explore the rising trend of cybercrime on social media, including specific types of cybercrime such as phishing scams, impersonation and misinformation. The paper will also discuss about the parties mostly affected by cybercrimes. Additionally, the paper will delve into the impact of increase in cybercrime on digital marketing, including the challenges faced by businesses. Overall the paper aims to provide a comprehensive overview of the current state of cybercrime media during the covid pandemic and how it is impacting the overall society and digital markets all together.
ABSTRACT
During the Covid-19 pandemic, the insurance industry's digital shift quickened, resulting in a surge in insurance fraud. To combat insurance fraud, a system that securely manages and monitors insurance processes must be built by combining a machine learning classification framework with a web application. Examining and identifying fraudulent features is a frequent method of detecting fraud, but it takes a long time and can result in false results. One of these issues is addressed by the proposed solution. By digitalizing the paper-based workflow in insurance firms, this paper intends to improve the efficiency of the existing approach. This method also aimed to improve the present approach's data management by integrating a web application with a machine learning stacking classifier framework experimented on a linear regression-based iterative imputed data for detecting fraud claims and making the entire claim processing and documentation process more robust and agile. © 2022 IEEE.
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Cybersecurity is an increasingly important factor in consumer attitudes toward online shopping. Online shopping has become an essential part of our lives in this digital era. As the popularity of online and e-commerce shopping continues to grow, so does the potential for cyber threats and attacks. As more and more consumers turn to online shopping, cyber threats such as hacking, identity theft, and credit card fraud have become more frequent. Therefore, understanding the factors of cybersecurity that affect consumer attitude is essential to build trust and creating a safe and sound shopping environment. This research explores the factors of cybersecurity that affect consumers' attitudes to shopping online and uses a survey to test several hypotheses related to influential cyber factors. Bangladesh is a developing country in Southeast Asia, and like many other countries, has experienced an increase in cyber threats and attacks in recent years. Consumers in Bangladesh face many of the same cyber threats, such as phasing attacks, malware, data breach, and other types of cyber security threats over online shopping. As a result of these cyber threats, online consumers are increasingly concerned about online security risks which may impact their willingness to engage in online shopping. Therefore, it is essential to identify critical factors of cyber security that impact consumers's attitudes toward online shopping to mitigate cyber risk and improve consumer trust in online shopping. This paper provides the result of a research study that will provide a better understanding of factors that influence consumer's trust and engagement with online and E-commerce platforms in Bangladesh) . © 2023 IEEE.
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PurposeThis study aims to explore the impact of COVID-19 on women and children in the UK who were victims of domestic abuse.Design/methodology/approachThe authors draw from their experiences of working in the domestic abuse sector to reflect on the impact of lockdown restrictions on women and children, focussing on the impact of government restrictions that created an environment in which abusers could control the movement of victims.FindingsThe impact of the pandemic was significant as victims were locked into the abuse, unable to escape for fear of breaching lockdown rules. The lockdown affected victims of different forms of violence against women and girls in the UK including forced marriage and female genital mutilation, which highlighted the ramifications of intersectional inequalities for abuse victims.Originality/valueThis paper articulates the devastating impact of the pandemic on vulnerable women, and their fair and just access to the family courts. This paper concludes that women were failed by the government and that there was not nearly enough support from support agencies, which has left many at risk and suffering significant harm.
ABSTRACT
Given that cyber security underwrites public trust in digital services and technologies, the new cyber strategy sets out a vision for reducing the cyber security risk to health and social care organizations across the Department of Health and Social Care (DHSC), National Health Service (NHS) organizations, local authorities, independent social care providers, and suppliers-which includes pharmaceutical manufacturers. [...]attacks can cause a complete loss of access to clinical and administrative information technology (IT) systems, resulting in significant disruption in day-to-day operations. According to the NCSC, ransomware attacks are increasingly seen to include data theft and extortion with a threat of data leaks (3). According to the UK government's recently published policy paper outlining the new cyber security strategy, "all these threats pose risk not just to patient and staff safety, but also to public trust in a health and social care system that can and must safeguard people's data" (2).
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The COVID-19 Pandemic had made the Philippines to face various expanding crime rates which became a valuable issue in the country. These wrongdoings had operationally pushed the Philippine National Police to see and assess different crime activities that had been concurring consistently. This made the PNP to established community public security which then is called to be crime prevention strategies. This confronts the transition of different conflicting state including actions that inflicts harm to the populace. However, the known implemented strategies were not observed whether these promotes consistent advantage security or implementation were not addressed properly. Therefore, this study aims to determine the evaluation of the implementation of crime prevention strategies of the Philippine National Police in Ormoc City, Leyte in the Context of the COVID-19 Pandemic. A descriptive quantitative was used in purposive sampling was employed to obtain the 125 respondents of the study mainly PNP personnel and barangay captain. A self-constructed questionnaire with 4-point Likert scale has undergone a pilot study among 25 known respondents wherein the actual run was done through online survey. The result had shown that indicators including the crime prevention activities as to prevention strategies shows no significant differences. However, sustainability of the strategies establishes relationship with the demographic profile. Therefore, the study had concluded that the null hypothesis must be accepted which pertains that the strategies of the PNP towards crime prevention is not highly significant with the demographic profile. [ FROM AUTHOR] Copyright of International Journal of Multidisciplinary: Applied Business & Education Research is the property of Future Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
PurposeIn March 2020, the UK entered its first lockdown responding to the Covid-19 pandemic. In the same month, the Domestic Abuse Bill had its first reading in Parliament. Charities and non-governmental organisations critiqued the Bill for failing to protect migrants from domestic abuse, and not complying with the Istanbul Convention. Drawing on interviews with staff from Southall Black Sisters, this paper aims to foreground the experiences of practitioners within the women's sector to explore the unique experiences and challenges migrant and racially minoritised women encountered when seeking support from domestic abuse during the Covid-19 pandemic. It highlights how the pandemic-related lockdowns created barriers to accessing support services and housing, creating an epidemic within the pandemic, and how minoritised women and the organisations that supported them had to overcome structural barriers and racism.Design/methodology/approachIn-depth semi-structured interviews were conducted with staff from a leading women's organisation that supports migrant and racially minoritised women. Four participants were asked questions within four themes: domestic abuse before and during the pandemic;accessing support from and reporting domestic abuse;accessibility of resources;and post-pandemic challenges. A phenomenological approach was used to analyse the transcribed interviews.FindingsParticipants consistently highlighted the unique threats and barriers migrant and racially minoritised women faced when seeking support. Barriers included racism, language barriers, cultural constraints, the triple threat of destitution, detention, deportation, and political resistance to protect migrant women from destitution/homelessness.Originality/valueThis paper provides a unique insight into the experiences of staff members within a specialist by and for women's support organisation in England and their perspectives on the barriers racially minoritised and migrant women experienced during the Covid-19 pandemic. It offers rare insights into how service users' needs changed during the lockdowns and how the pandemic affected their ability to operate.
ABSTRACT
Theft is an inevitable problem in the context of urbanization and poses a challenge to people's lives and social stability. The study of theft and criminal behavior using spatiotemporal, big, demographic, and neighborhood data is important for guiding security prevention and control. In this study, we analyzed the theft frequency and location characteristics of the study area through mathematical statistics and hot spot analysis methods to discover the spatiotemporal divergence characteristics of theft in the study area during the pre-COVID-19 and COVID-19 periods. We detected the spatial variation pattern of the regression coefficients of the local areas of thefts in Haining City by modeling the influencing factors using the geographically weighted regression (GWR) analysis method. The results explained the relationship between theft and the influencing factors and showed that the regression coefficients had both positive and negative values in the pre-COVID-19 and COVID-19 periods, indicating that the spatial distribution of theft in urban areas of Haining City was not smooth. Factors related to life and work indicated densely populated areas had increased theft, and theft was negatively correlated with factors related to COVID-19. The other influencing factors were different in terms of their spatial distributions. Therefore, in terms of police prevention and control, video surveillance and police patrols need to be deployed in a focused manner to increase their inhibiting effect on theft according to the different effects of influencing factors during the pre-COVID-19 and COVID-19 periods.
ABSTRACT
PurposeThis study aims to discuss the consequences of trade-based money laundering (TBML) and informal remittance services on the sustainability of the position of balance of payments and net foreign assets of a small open economy.Design/methodology/approachThis paper uses a case study design using facts related to TBML and informal remittance services on the balance of payment and net foreign assets of Sri Lanka.FindingsThe contextual analysis reveals that the growth of the informal economy promotes informal remittance services in Sri Lanka. The policy decision to peg local currency to US dollars as a result of a shortage of foreign exchange had forced people to use informal channels for different purposes. The unclear and vague customer due diligence process of the anti-money laundering and countering the financing of terrorism (AML/CFT) regime also has forced people to use informal remittance services. Criminals especially drug traffickers have grabbed the promoted informal remittance services to transfer proceeds from Sri Lanka to overseas drug suppliers. On the other hand, systematic deficiencies in monitoring and regulation of movement of fund transfers and merchandise across borders provide opportunities for criminals to use different TBML techniques to transfer funds. These limitations force policymakers and regulators to think of developing a comprehensive payment ecosystem to prevent money laundering and terrorist financing. Therefore, the global initiative is required to move towards a payment ecosystem from a recommendation-based AML/CFT regime to reduce global crimes.Research limitations/implicationsThis study was designed to discuss the implications of TBML and informal remittance services on the balance of payments and net foreign assets in a small open economy. The structure and size of the economy, the strength of the overall economy and the AML/CFT regime will play an important role in controlling criminal activities and combating money laundering of an economy;hence, the impact of TBML and informal remittance services will vary accordingly across the countriesOriginality/valueThis paper is an original work done by the authors, which discusses the implications of TBML and informal remittance services on the balance of payments and net foreign assets of an emerging market context.
ABSTRACT
Maritime security is facing many challenges due to war conflicts, geopolitics, sanctions, and pandemics. The supply chain for maritime containers has faced considerable obstacles as a result of the COVID-19 pandemic. Numerous factors, such as port closures, travel restrictions, and a decreased workforce, have impacted the supply chain. The risk of cargo theft, piracy, and other security events has increased as a result of these difficulties. Therefore, it is essential to look at the risk variables that may affect the security of the marine container supply chain during the pandemic. This research paper highlights those risks through the following three indexes: the likelihood index (LI), severity index (SI), and average risk index (ARI) by analyzing 64 risk factors that were prepared and designed by incorporating the Delphi expert survey technique to prepare a systematic questionnaire. The article addresses worries over the COVID-19 pandemic's effects on international supply networks. The causes of the most recent global shipping industry disruptions and their impact on supply chains have been thoroughly examined. In order to reduce the number of disruptions in global supply chains and lower the direct and indirect costs for consumers, the authors have also mentioned the necessary actions that must be implemented. The results concluded after the analysis pointed to "management activities,” such as human resources or the working environment as having the highest possibility of going wrong, whereas "operation activities” were judged to likely be the fatal ones if the security of maritime containers was ever compromised. The main objective of the study is to evaluate how the COVID-19 epidemic may affect international shipping, particularly container shipping, which is currently the most important link in the world's multimodal land–sea supply chains.
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The COVID-19 pandemic has impacted everyday life, the global economy, travel, and commerce. In many cases, the tight measures put in place to stop COVID-19 have caused depression and other diseases. As many medical systems over the world are unable to hospitalize all the patients, some of them may get home healthcare assistance, while the government and healthcare organizations have access to substantial sickness management data. It allows patients to routinely update their health status and have it sent to distant hospitals. In certain cases, the medical authorities may designate quarantine stations and provide supervision equipment and platforms (such as Internet of Medical Things (IoMT) devices) for performing an infection-free treatment, whereas IoMT devices often lack enough protection, making them vulnerable to many threats. In this paper, we present an intrusion detection system (IDS) for IoMTs based on the following gradient boosting machines approaches: XGBoost, LightGBM, and CatBoost. With more than 99% in many evaluation measures, these approaches had a high detection rate and could be an effective solution in preventing attacks on IoMT devices. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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The substantially revised third edition of The Handbook of Security provides the most comprehensive analysis of scholarly security debates and issues to date. It reflects the developments in security technology, the convergence of the cyber and security worlds, and the fact that security management has become even more business focused. It covers newer topics like terrorism, violence, and cybercrime through various offence types such as commercial robbery and bribery. This handbook comprises mostly brand new chapters and a few thoroughly revised chapters, with discussions of the impact of the pandemic. It includes contributions from some of the world's leading scholars from an even broader geographic scale to critique the way security is provided and managed. It speaks to professionals working in security and students studying security-related courses. Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022. All rights reserved.
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Covid-19 eruption and lockdown situation have increased the usages of online platforms which have impacted the users. Cyberbullying is one of the negative outcomes of using social media platforms which leads to mental and physical distress. This study proposes a machine learning-based approach for the detection of cyberbullying in Hinglish text. We use the Hinglish Code-Mixed Corpus, which consists of over 6,000 tweets, for our experiments. We use various machine learning algorithms, including Logistic regression (LR), Multinomial Naive Bayes (MNB), Support vector machine (SVM), Random Forest (RF), to train our models. We evaluate the performance of the models using standard evaluation metrics such as precision, recall, and F1-score. Our experiments show that the LR with Term Frequency-Inverse Document Frequency (TFIDF) outperforms the other models, achieving 92% accuracy. Our study demonstrates that machine learning models can be effective for cyberbullying detection in Hinglish text, and the proposed approach can help identify and prevent cyberbullying on social media platforms. © 2023 Bharati Vidyapeeth, New Delhi.
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Transgender and gender diverse (TGD) individuals experience high levels of minority stress, as well as a high prevalence of suicidality and self-harm. The current study investigates if emotion regulation mediates the relationships of minority stressors with self-harm and suicidality. TGD adult primary care patients (N = 115) completed a survey including measures of minority stressors, emotion dysregulation, self-harm, and suicidality. Emotion regulation mediated the relationship between victimisation and suicidality. Emotion regulation did not mediate the relationship between victimisation and self-harm. TGD individuals' suicide risk may be increased when they experience victimisation through increased emotion dysregulation.
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Despite the devastating effects of firearm violence on individuals, families, and communities, research on the impact of the COVID-19 pandemic on firearm violence remains at a minimum. Our study contributes to this body of research by estimating the impact of two critical pandemic era timeframes on fatal and nonfatal shooting victimizations in Detroit, Michigan, using an innovative Bayesian Structural Time Series methodology. For each timeframe, we consider the impact of the pandemic era on total shooting victimizations, shooting victimizations that occurred at a residence (or at home), and shooting victimizations that occurred elsewhere. Our findings suggest that the pandemic era contributed to all three types of shooting victimizations in Detroit. We discuss the limitations of our study, along with directions for future research. Overall, we believe that our study underscores the importance of adopting a comprehensive and evidence-based strategy to prevent firearm-related fatalities and injuries. [ FROM AUTHOR] Copyright of Journal of Crime & Justice is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
The current study estimates the impact of the SAH order on violent crimes across public and residential locations: assault, battery, homicide, robbery, and sexual assault. Using interrupted time series analyses, it analyzes weekly crime data in Chicago, Illinois, from 2017 to 2020. The SAH order caused significant decreases in battery and sexual assault across public and residential locations. It also decreased assault in public locations only. Such decreases in assault, battery, and sexual assault were greater under the SAH order when social distancing was strictly enforced, as opposed to during the relaxation of social distancing. On the other hand, there were significant increases in homicide across public and residential locations. Robbery increased in public locations only. There were greater increases in homicide and robbery during the relaxation of social distancing, as opposed to under the SAH order. The study ultimately indicates that the impacts of the containment measures are conditional upon the offense location, type of crime, and level of social distancing being mandated. From a public policy perspective, it is important to allocate staffing and resources for law enforcement accordingly during the enduring pandemic.