  Cyber-attacks keep threatening global networks and information
infrastructures. The threat is getting more and more destructive and hard to
counter day by day as the global networks continue to enlarge exponentially
with limited security counter-measures. As this fact requires more
sophisticated methods and techniques in urgency, a multidisciplinary remote
cognitive observation technique is proposed in this paper to meet today's
cybersecurity needs. The proposed method introduces a non-traditional Cognitive
Psychology and Artificial Intelligence (AI) based remote threat identification
which can be considered during the cyber security system design. It also
enables to access the cognitive behavioural parameters of an intruder/hacker
remotely without any physical contact via online connection, disregarding the
distance of the thread. The ultimate goal of this work is to develop a
supplementary cognitive cyber security tool for next generations secure online
banking, finance or trade systems.
