Cyber-attacks pose an escalating threat to global networks and information infrastructures, with their increasing destructiveness and the difficulty of countering them. To address this urgent need for more sophisticated cyber security methods and techniques, this paper proposes a multidisciplinary remote cognitive observation technique. By combining Cognitive Psychology and Artificial Intelligence (AI), this method offers a non-traditional approach to identify threats and can be incorporated into the design of cyber security systems. The innovative aspect lies in the ability to remotely access cognitive behavioral parameters of intruders/hackers through online connections, without the need for physical contact or regard for geographical distance.

The ultimate objective of this research is to develop a supplementary cognitive cyber security tool for next-generation secure online banking, finance, or trade systems. With the exponential growth of global networks, there is a pressing need to enhance security countermeasures. The traditional methods in use are proving insufficient in the face of emerging threats.


The proposed multidisciplinary approach addresses the limitations of current cyber security methods by incorporating Cognitive Psychology and AI. This combination allows for a deeper understanding of the thought processes and behavioral patterns of hackers or intruders. By remotely accessing these cognitive parameters, security professionals can gain critical insights into potential threats without directly engaging with the perpetrators.

This approach holds promise for future cyber security systems, particularly in the realms of online banking, finance, and trade. These sectors handle sensitive information and financial transactions on a global scale, making them prime targets for cyber-attacks. By supplementing existing security measures with a cognitive cyber security tool, organizations can strengthen their defenses against sophisticated hacking attempts.

However, there are potential challenges to consider. Remote cognitive observation requires a high level of expertise in both Cognitive Psychology and AI. Implementing such a technique on a large scale may require significant investment in training personnel and infrastructure. Additionally, there are ethical implications to consider when monitoring the cognitive behavior of individuals without their consent or knowledge.

Future Implications

The introduction of a remote cognitive observation technique opens up new avenues for research and innovation in the field of cyber security. Further studies can explore the effectiveness of this approach in real-world scenarios and refine the methodology to address potential limitations.

In the long term, advancements in AI technology, such as machine learning and natural language processing, can augment the capabilities of the proposed method. These improvements could enable the system to autonomously detect and respond to threats, reducing human intervention and enhancing the overall security posture.


The multidisciplinary remote cognitive observation technique presented in this paper offers a fresh perspective on cyber security by incorporating Cognitive Psychology and AI. By remotely accessing an intruder’s cognitive parameters, security professionals can gain valuable insights without physical contact or geographical limitations. While there are challenges to overcome and ethical considerations to address, this approach holds promise for developing supplementary cyber security tools for secure online banking, finance, or trade systems. As the global network expands, it becomes imperative to explore innovative methodologies like this to tackle evolving cyber threats effectively.

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