مهرداد حمیدزاده

One of the new concepts for creating transformation in organizations is to make them intelligent, and for this purpose, the formation of intelligent police has received a lot of attention in the last decade in the macro-planning of the country's law enforcement agency and even at the national level. has attracted It is very important and effective to have a clear and big picture of police intelligence (theorized) in the form of a conceptual model, in order to increase common understanding and understanding about intelligent police. In terms of purpose, the present writing is developmental, and in terms of nature and data collection, it is qualitative and descriptive, and it has two statistical communities, documentary and expert. The data collection tool is a semi-structured questionnaire, which includes 20 people from the National Center for Cyberspace, university professors and related organizations, with a statistical population including top managers of the police and other armed forces, organizational experts and scientific elites familiar with the subject. And it has been on the condition of theoretical saturation. The results have been presented in a group panel and validated by forming a focus group. According to the theoretical and experimental origins of technology, smart police, important and key dimensions, components and layers, basic technology intelligence factors, smart police operations were determined. Based on the results of this research, the intelligence of basic police technology includes the infrastructure of information and communication technology, the generator and the core of intelligence production, which within the framework of a process, titled "Smart Police Operations and Services", operational and service intelligence in internal dimensions ( It includes command and management, systems and processes, human capital, legal, monitoring and protection, training, technology and the like) and the external dimensions of the police (administrative, cyber, information, security, social, border and the like).

This research adopts an approach that conceptualizes security and develops a comprehensive security model using knowledge representation technologies. It aligns with sustainability and organizational resilience within the context of the fifth industrial revolution, aiming to provide a complete overview of the conceptual components of security.

The objectives of this applied research are pursued through a conceptualization approach. To achieve this, the latest version of Protégé software was used to develop the ontology. Additionally, a life cycle process for ontology creation was designed to align with international methods and design science. Furthermore, to create a comprehensive representation, the OntoGraf tool was employed with a focus on organizational resilience.

The design of a conceptual model for organizational security requirements, controls, and assets was achieved through ontology engineering using the Protégé tool. This process was based on standards, international frameworks, and the specific conditions and needs of the country. The approach aimed to establish sustainability and resilience within the organization while also creating a comprehensive representation of the conceptual components of security in organizations.

In today’s complex environment, smart action is essential. In a large organization like a university, acting intelligently is the most important factor in enhancing competitiveness. Security plays a crucial role across various dimensions of organizations that adopt a smart approach. The field of security is highly dynamic, with new threats constantly emerging. To address these rapidly growing threats, conceptual solutions are needed to enhance organizational security, resilience, and continuity. This research presents the conceptualization and organization of knowledge in security, as well as the creation of a platform for the development and use of common concepts

New technologies have made it possible to connect objects using wireless sensors and smart networks. Nowadays, according to the growth of technology, the use of new technologies in the direction of location has expanded a lot, and it is possible to collect a large amount of information from different devices in different places and times. One of the most important applications of new technologies is asset management along with location in an intelligent organization. In this application, by using the collected information, the problems in asset management can be overcome. In this article, the location of the organization's assets is improved in a smart way using technologies such as the Internet of Things and specifically radiology technology and location algorithms such as Euclidean distance, and the amount of error in identifying the target assets should be reduced, which leads to The organization's assets are managed and analyzed more accurately, the simulations needed to optimize the location algorithm with the organization's asset management approach have been carried out in MATLAB software.

Smartening is one of the global trends and technologies have a decisive role in realizing the smartness of governments, cities, organizations and society and have a positive and negative effect on the political, social, economic, policing and security aspects of societies. It is natural that establishing order and security in a smart society requires smart police so that it can be equipped with prediction, prevention, deterrence and smart action in the face of crimes by collecting and analyzing data. Studies indicate that the lack of a native theory has caused the efforts made so far to fail; provide a correct, transparent and comprehensive image of the smart police, and therefore having a clear and agreed image of the intelligence of the basic technology of the police using clear and different profiles, in order to reduce ambiguities and confusions, is very helpful and important.Studies indicate that the lack of a native theory has caused the efforts made so far to fail; provide a correct, transparent and comprehensive image of the smart police, and therefore having a clear and agreed image of the intelligence of the basic technology of the police using clear and different profiles, in order to reduce ambiguities and confusions, is very helpful and important.

Smart police theory of basic technology; It has the theoretical origin of technology, the theoretical origin of smart police and the experimental origin of smart police.

Concepts, philosophical debates and views about technology, paradigms, theories and discourses of technology development and application, industrial revolutions, the role of information technology in organizations, information systems, transformative technologies, police theories and the smart police paradigm, among the most important origins of theory formation Smart police are basic technology.

The complexity and inconsistency in the environment is increasing strongly, and smart organizations need to adapt to the environment in order to perform smart and timely actions, in other words, acting smart is an integral part of increasing their competitiveness and survival. In order to achieve goals and missions in such organizations, information security is of high importance. In order to deal with advanced threats, appropriate solutions are needed for prevention, detection and response in an effective time frame. Meanwhile, the organization of knowledge and the use of common concepts by humans and computer agents has become an important issue in the field of security, and ontology is presented as the key to this issue. Considering the nature and capabilities hidden in ontology, new and innovative applications are envisioned in the field of intelligent organization security, which has made it a suitable tool for security knowledge modeling. In this research, by studying the world's successful achievements and experiences in this field and research in the field of strategic documents in terms of requirements, the network ontology design was done in the Protégé software environment and the model was presented using Onto Graf, and then the application software as The semantic infrastructure of the network was designed with Python language.Therefore, it is possible to continuously develop the ontological model and provide a common understanding in the organization, and based on the conclusions obtained from the model and the designed software, provide suitable solutions to increase the security of the intelligent organization