Investigating hybrid threats against the axis of resistance

With the increase of communication density, interdependencies and multiplicity of actors, the system of interrelationships has evolved into complex and chaotic systems. This has led to a shift in strategic planning and the application of intelligent control to benefit, the attempt to structure the environment, and the application of threats based on quantum approaches and cybernetic knowledge. In this regard, studies in the field of security have evolved, which with a systemic view based on the principles of the paradigm of complexity and turmoil has observed a new type of threats affecting the vital context of human societies based on activism in a network environment, called hybrid threats. Activation of these threats in the West Asian region has caused all countries in the geography of the Axis of Resistance to face high levels of systemic entropies, to experience multiple stresses and injuries in different contexts. The purpose of this article, while pathology, is to answer the question: what is the nature and characteristics of hybrid threats against the axis of resistance in the West Asian region? In response, it is assumed that with the advent of cybernetics, network-based, diverse and intelligent threats have been implemented in the form of the fifth generation of wars at the geographical level of the resistance axis, called hybrid threats. In this article, it is emphasized that hybrid actors in a gray environment exert intelligent pressure on the vulnerabilities of the countries in the region and pursue the goal of changing the structure of the region, normalizing and creating their desired order by weakening or destroying the resistance axis. This article is organized by descriptive-analytical method with library tools and collecting information from different sources and using the paradigm of complexity. Synergy resulting from performance in multi-level cloud networks in the category of defense; And the use of cybernetics in cognition and control