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

Advanced Personnel Vetting Techniques in Critical Multi-Tennant Hosted Computing Environments