نشریه مطالعات حفاظت و امنیت انتظامی
سال شانزدهم شماره 3 (پیاپی 60، پاییز 1400)

Due to the rapid exchange of information and the large number of social network users, these networks are focused on gathering the latest information or news from people around the world, so social networks have become the focus of many rumors. These networks can spread information much faster than ever before, misinformed or unverified information spreads just like true information in cyberspace, influencing public opinion and their decisions. Fake news and gossip are the most popular forms of false and unverified information, respectively. They should be detected as soon as possible to avoid significant effects. Therefore, in this study, a model has been presented to detect rumors in social networks as quickly as possible. The proposed model is tested on Twitter network data.

This research has been done in terms of applied type and empirically-analytically. In this research, by discovering and analyzing the importance of two categories of rumor features: structural and content-oriented features, it has identified rumors in the Persian Twitter social network. Has been.

In this study, Persian rumors have been correctly identified using a proposed model based on recursive neural network, which is one of the deep learning techniques. The accuracy of rumor detection using a combination of content and structural features is 91%.

Serious and sensitive tasks of security organizations require to use capable and efficient employees. The capability, productivity and motivation of these employees depend on the proper compensation of their service. Due to resource constraints, compensation for these services requires identifying solutions for compensating services and prioritizing it. Accordingly, the purpose of this study is to identify and prioritize employee compensation strategies.

The present study is an applied qualitative research and has been done by the classical Delphi method. The statistical population of the study includes the staff of one of the security institutions of Qom province. Purposeful sampling method and sample size in this study is 15 people, which was done in four stages: interview and questionnaire. Research data were analyzed using descriptive means and correlation tests on contextual variables.

39 strategies for compensating employees’ services were obtained through interviews with experts and theory studies in ten priorities. In the third phase of Delphi, 28 jobs were identified in five priorities, and in the fourth phase of Delphi, twenty-one solutions were evaluated in three priorities. The solutions were divided into two categories: financial and non-financial. Financial solutions have a higher average than non-financial solutions and among financial solutions, compensation for indirect and direct cash services have a higher priority. Reducing the retirement age is the most important indirect solution and increasing the quantity and quality of overtime and low-interest loans is the most important direct financial solution. Among the non-financial priorities, job factors have a higher average than organizational factors, and the most important strategy in this category is to promote the job position and service category coefficient.

Awareness class is one of the most important and effective and crucial categories in the protection and prevention of employees' crimes, which inspection and protection of information of the police force as one of its work priorities, uses.

This study aims to investigate the role of safeguards in crime prevention. The statistical population of this study includes all employees of Payor FA. It is Hormozgan. The sample size was determined randomly through Cochran's formula to 195 people. The research data were collected through a researcher-made questionnaire on protection measures and crime prevention of employees. The reliability coefficient of Cronbach's alpha was 0.864 and 0.896, respectively. Correlation coefficient, regression and Friedman test with SPSS software were used to analyze the data.

Findings showed that safety measures and its components are effective in preventing employees' crimes and the factor of informing and preparing and publishing safety messages are the most effective and the least effective, respectively.

Also, according to Friedman test, awareness classes with a coefficient of 2.14 are in the first priority, therefore it has the greatest effect on protection and prevention, and then modeling and symbolism with a coefficient of 1.96 in the second priority and preparation and publication. Safety messages with a coefficient of 1.90 are in the third and final rank, therefore, they have the least effect on protection and prevention in NAJA.

Manpower in NAJA is the biggest asset and the main factor in maintaining and promoting public security. In terms of management science, employees treat clients in the same way that they believe managers will treat them and will express this attitude and behavior in interaction with clients, which can result in the spread of dissatisfaction among citizens. Therefore, recognizing the reduction of employee job dissatisfaction due to the undeniable effects on police performance and efficiency is of particular importance, Therefore, this study aims to identify the factors affecting the reduction of job dissatisfaction of employees in police stations in Greater Tehran.

The present study is quantitative in terms of data and practical in terms of purpose. The research community consists of employees working in police stations under the auspices of the 5th, 4th and 11th Fateb Prevention Police that using Cochran's formula, the sample size was calculated as 294 people and at the end of the 35-item questionnaire, it was determined with Cronbach's alpha of 86% and through Pearson correlation tests, Kendall Tassi and Friedman rank test, the questions asked in the research were assessed and evaluated.

The collected data showed that the most dissatisfaction of employees is with the components related to organizational factors and factors of the nature of work and the least dissatisfaction is with environmental and individual components. It was also found that there was a significant relationship between dissatisfaction factors and rank, education and years of service of employees and the highest dissatisfaction of police officers in order of priority, related to the transfer of organizational job pressure to the family environment, job stress in police stations and lack of proportion between working hours in the police station and the ability of the staff.

Following the glorious victory of the Islamic Revolution of Iran, the enemy has sought to design and apply various threats that it has been able to do in various fields, among these important and fundamental threats are information threats that can be classified into two areas of intelligence capabilities and intelligence actions. According to the Supreme Leader's order, that the armed forces of the Islamic Republic of Iran are a pillar in ensuring national security, and playing a key role in the armed forces in the fields of defense, military and security, this basic pillar has always been considered by enemy intelligence-security organizations. The researcher's challenge, then, is what important intelligence capabilities the United States has and through what actions it uses those capabilities against the armed forces. Accordingly, this study was conducted with the aim of formulating US intelligence threats against the armed forces of the Islamic Republic of Iran.

This research has been done on a case-by-case basis and after collecting information by documentary method and interviewing experts in the field of intelligence and security protection police, the research findings have been categorized by content analysis method with inferential technique and Delphi method and it is formulated in the form of components and items of US intelligence capabilities and intelligence action.

Based on the findings of this study, the most important US intelligence capabilities and the most important enemy intelligence actions in the field of the armed forces of the Islamic Republic of Iran have been obtained and expressed.

The block chain has attracted a lot of attention in recent years and is one of the highlights. Researchers are still researching its scalability, security and stability. It has changed the way of life of many people in some areas due to the emergence of this emerging technology. Because the features of block chain technology ensure reliable and convenient services, we need to consider the security and privacy issues and challenges of this innovative technology. Block chain applications include financial services, healthcare, automobiles, internet of things , public and social services. Numerous studies have used the block chain data structure in various applications, however, a comprehensive review of the technical and practical context of block chain has not been performed.

The research method is content analysis and the way it is done is library and field and the results are a study of the role of block chain technology in the security of the infrastructure of intelligence  organizations. Also, the strategy of this research is in the form of content analysis that the sources used include: articles, scientific-research and internet searches in the field of block chain technology in different types.

In this article, we try to do a comprehensive review of block chain technology. The structure of the various algorithms, consensus, challenges and future opportunities for data security and privacy in the block chain were also discussed. From the point of view of communication security, it is concluded that the use of block chain technology in intelligence organizations is vital.