Transformative Dynamics: Unveiling the Influence of Artificial Intelligence, Cybersecurity and Advanced Technologies in the Bitcoin

Abstract

In order to make it possible for computer systems to provide a dynamic defensive layer by modifying the attack surface, a security solution that goes by the name Moving Target Defensive (MTD) is now in the process of being developed. This is one of the many security solutions that are currently in the process of being developed. The use of MTD practises is one way to alleviate the concerns of cloud computing's lack of data protection. Shuffle, diversity, and redundancy are the three primary categories that make up MTD method usage, respectively. It may be possible to reorganize the components of the system by making use of randomized MTD methods (for example, IP mutation). They put a dent in the case that the attackers are making by first making reconnaissance more difficult and then destroying the material that was acquired. As a consequence of the emphasis on diversity in Modularity, Transparency, and Reliability (MTR) methods, the versions of a system's components, such as operating systems, are modified. This makes attacks more labour- and resource-intensive to carry out. The redundancy approaches provided by MTD lead to the creation of several redundant copies of system components. The first phase of this inquiry will consist of conducting a comprehensive analysis of the relevant prior work in order to identify and emphasize the most significant omissions in the current MTD study. According to the findings of our research, MTD strategies have not been thoroughly confirmed on more realistic cloud testbeds, and their efficacy has not been adequately evaluated utilizing security analysis.