  The emergence of cloud computing presents a strategic direction for critical
infrastructures and promises to have far-reaching effects on their systems and
networks to deliver better outcomes to the nations at a lower cost. However,
when considering cloud computing, government entities must address a host of
security issues (such as malicious insiders) beyond those of service cost and
flexibility. The scope and objective of this paper is to analyze, evaluate and
investigate the insider threat in cloud security in sensitive infrastructures
as well as to propose two proactive socio-technical solutions for securing
commercial and governmental cloud infrastructures. Firstly, it proposes
actionable framework, techniques and practices in order to ensure that such
disruptions through human threats are infrequent, of minimal duration,
manageable, and cause the least damage possible. Secondly, it aims for extreme
security measures to analyze and evaluate human threats related assessment
methods for employee screening in certain high-risk situations using cognitive
analysis technology, in particular functional magnetic Resonance Imaging
(fMRI). The significance of this research is also to counter human rights and
ethical dilemmas by presenting a set of ethical and professional guidelines.
The main objective of this work is to analyze related risks, identify
countermeasures and present recommendations to develop a security awareness
culture that will allow cloud providers to utilize effectively the benefits of
this advanced techniques without sacrificing system security.
