Probabilistic Risk Assessment in A.I Enabled SoE Attacks

In the domain of Information security risk assessment really a complex decision-making process. Whereas there are a lot of unclear model of software domain and the lack of associated uncertainty are two main reasons that directly affect individual decisions making regarding risk assessment for A.I enabled SoE attacks. Whence artificial enabled social engineering attacks are effectively may happening in every levels of domain. On the other hand, the risk assessment conducted on the safety requirements on artificial enabled social engineering attacks. So, the simple meaning of social engineering is to refers to the psychologically and mentality use people to give secret information in the context of information security. A strategy of self-confidence for information collection, fraud, or access to the system, is different from a traditional "con" that it is often one of the more complex fraudulent schemes. That is why in this paper we proposed theoretical framework, which can not only demonstrate its potential for the risk assessment, but it can be sensitive and effective in analyzing a critical and uncertain operational environment that can address the extreme effects of information security