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Addressing Insider Threats in Cybercrime

Abstract

Cybercrime represents a substantial threat to organizations, and internal threats constitute a specific type of different risk. Insiders with authorized access can purposely or accidentally expose customer data, systems, and operations to external threats, putting the company’s information security, financial, and reputational stand at some risk. This assignment involves a study of the current research sources on the subject of cybercrime insider threats, their impact, and coping mechanisms. The main reason for that is the emerging gap in knowledge related to materialization and assessment of a complex counterinsider threat framework which becomes the basis of the proposed research problem.

Insider Threats: A Persistent Cybersecurity Challenge

Insider threat regarding cybercrime turns out to be very serious, and in a lot of cyber breaches and cyber attacks, insiders play a very important part (Da-Yu, 2019). “The challenges faced by insiders will be accentuated by their legitimate access and profound knowledge regarding systems, which will make detection even more difficult.” The hard-to-beat character of such threats also underlines the great struggle that companies go through in order to guard against internal threats. Due to the rapidly developing nature of cyber threats, a key part of the overall cybersecurity resurgence plan is to understand and respond to the issues of insiders. This can be achieved through the protection of data storage and systems from probable and possible breaches.

Technical Countermeasures and User Monitoring

Hakonen (2022) examined different technical solutions, like user activity monitoring and behavioral analytics, that can detect any suspicious behavior of employees who could potentially be involved in an insider threat. Nevertheless, these technical tools could have limitations in mitigating the human components, which are an integral part of insider threats.

Organizational Policies and Insider Threat Programs

According to Darem et al. (2023), firstly, it is essential to have strong insider threat programs, which should encompass different policy requirements, training, and incident response plans so that they can manage the risks associated with insider threats. Nevertheless, the efficiency of the measures without the existing ones may not be enough as well.

Proposed Research Problem: Developing an Integrated Insider Threat Framework

The existing knowledge base has yet to be overlooked. There is a requirement for intensive research to confirm if an integrated framework consisting of technical interception, user behavior analysis, organizational policies, and incident response mechanisms can efficiently recognize the insider threat within cybercrime. The goal of the undertaken research is to design and evaluate a cybersecurity training platform that will serve the purpose of knowledge enrichment and provide businesses with a consolidated itinerary for addressing the currently relevant cybersecurity problem.

As explained by Yeboah-Ofori et al. (2019), mere prevention management is not enough, but future studies are advised to look for holistic solutions to deal with insider threats. The proposed all-encompassing insider threat framework is designed to meet this purpose by providing a systematic method that incorporates different technical, organizational, and human-centered factors to yield one coherent approach.

Liu et al.(2018) propose a framework based on tracking user activities and the use of behavioral analytics with a view to expose Insider threat cases through the detection of abnormal patterns in their activities. The technical component, which shall be guaranteed with appropriate organizational policies, education, training programs, and incident response plans, aims to develop the whole security standing. A framework is adopted aimed at increasing the culture in the organization where more awareness and accountability are instilled, thus resulting in greater resistance against cyber insider threats. The framework embraces an all-inclusive range of the instruments that enable insider threats in cybersecurity prevention and detection through technical and organizational mechanisms implementation.

This structural alignment of the elements will be a solid foundation of the framework with the proper form of a solution to the generation of insider threats to cybercrime. With the complex nature of insider threats and the constant moving of threat agents, the framework can feature thorough review and refinement to play a useful role in the development of cybersecurity measures and the defense of organizations from the harmful effects of insider threats.

Conclusion

Insiders have outplayed the previous challenge after receiving corporate finance power and losing public image. In spite of the fact that the current papers have demonstrated their toolfulness in the implementation of many countermeasures, it becomes essential to build an integrated approach that allows taking into account sets of technological options, behavioral measures, organizational policies, and incident response methods. Hence this could serve the table in terms of the fight against insider threats and in raising the levels of preparedness in cybersecurity.

References

Darem, A. A., Alhashmi, A. A., Alkhaldi, T. M., Alashjaee, A. M., Alanazi, S. M., & Ebad, S. A. (2023). Cyber threats classifications and countermeasures in banking and financial sector. IEEE Access11, 125138-125158.

Da-Yu, K. A. O. (2019, February). Cybercrime countermeasure of insider threat investigation. In 2019 21st International Conference on Advanced Communication Technology (ICACT) (pp. 413-418). IEEE.

Hakonen, P. (2022). Detecting Insider Threats Using User and Entity Behavior Analytics.

Liu, L., De Vel, O., Han, Q. L., Zhang, J., & Xiang, Y. (2018). Detecting and preventing cyber insider threats: A survey. IEEE Communications Surveys & Tutorials20(2), 1397-1417.

Yeboah-Ofori, A., Abdulai, J., & Katsriku, F. (2019). Cybercrime and risks for cyber physical systems. International Journal of Cyber-Security and Digital Forensics (IJCSDF)8(1), 43-57.

 

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