Futuristic analysis of the components of the model for cyber threats in the Islamic Republic of Iran Army

Document Type : Original Article

Authors

1 Master's student, Imam Ali University, Tehran, Iran.

2 Assistant professor،Khatam al-Anbia University of Defense،University, Tehran, Iran

Abstract

Cyber threats are attacks against an organization in order to achieve different goals, and a cyber attacker tries to steal the organization's sensitive information, disrupt the organization's ability to provide services, or take other actions that somehow affect the security infrastructure and to damage the organization's network. Today, the number of cyber incidents and their types are increasing, especially in our country, and if an organization does not have a process or a plan to respond to cyber incidents, it will take a long time to respond to incidents and restore the organization's systems. Apart from this, the costs of the organization and the amount of damage that may be done to the infrastructure will be much higher than an organization that has already prepared a specific plan to respond to a cyber incident. Therefore, responding to cyber incidents is a very important issue that every organization should pay attention to. Therefore, the present study was conducted with the aim of prospective analysis of the components that make up the pattern of facing cyber threats in Aja, which type is applied in a mixed (quantitative and qualitative) way. In order to identify the components and constituents of the desired model, at first, using study resources and library documents, the primary components were identified, and then through conducting interviews with experts in the field of cyber and future studies, the dimensions, components, and items of the model were identified and counted. Then, by preparing a researcher's questionnaire and with the help of a statistical sample of 120 people, the counted items were measured, and this process was carried out using SPSS software in the form of descriptive and inferential analysis. Then, by using PLS structural equation modeling software and taking into account the partial least squares, the necessary indicators regarding the variables were examined. The final model considered for research in three main sections of forecasting with four subsections and 18 components; The foresight section was explained with four sub-sections and 32 components, and the post-forecasting section was explained with two sub-sections and 13 components.

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  • Receive Date: 15 August 2024
  • Revise Date: 07 December 2024
  • Accept Date: 02 January 2025
  • Publish Date: 01 February 2025