CYBER SECURITY ESSENTIALS FOR SOCIAL WORKERS: MITIGATING AI-DRIVEN SOCIAL ENGINEERING THROUGH SURVEY-BASED BEHAVIORAL INTERVENTIONS

Authors

DOI:

https://doi.org/10.71146/kjmr962

Keywords:

cyber security, social engineering, Survey-Informed Behavioral Intervention (SIBI), identity tracking

Abstract

The rapid evolution of artificial intelligence has introduced sophisticated cyber security threats, particularly in the form of AI-driven social engineering. Social workers, who handle highly sensitive and confidential client data, are increasingly targeted by these advanced attacks despite often lacking extensive technical training. This paper explores the intersection of human behavior, survey data analytics, and cyber security to propose a comprehensive framework designed specifically for the social work sector. By leveraging hypothetical survey data to identify psychological vulnerabilities and utilizing AI-simulated phishing campaigns for targeted education, this study outlines a method to transition cyber security awareness from passive compliance to active behavioral change. Ultimately, this research demonstrates that mitigating modern cyber threats in non-technical domains requires a multidisciplinary approach that prioritizes human-centric training alongside technological safeguards. 

Downloads

Download data is not yet available.

Author Biography

  • Dr Anum Ali, Stevens insitute of Technology, New York, USA.

    24 years of experience in teaching, research in academia, and as a senior software/Web developer (freelancing). Also spent many years in Humanitarian causes. Her recent work was concerned with cyber security, Big Data communication architecture concerning networking, previously her work was on metaverse, adverisal networks in IOT data transmission, and evaluating botnets through machine learning.
    Specialties: Satellite communication coding and error research, Multiagents and M2M network, Humanitarian causes such as support to flood victims and hospital funding.

    Nowadays she is carrying through CEO role for certain startups which is very crucial risk taking in a career.

References

Reddy, G. Nikhita, & Reddy, G. J. Ugander (2014). A Study Of Cyber Security Challenges And Its Emerging Trends On Latest Technologies. International Journal of Engineering and Technology - UK ISSN: 2049-3444, Volume 4 No.1 January 2014. https://arxiv.org/pdf/1402.1842v1

Evans, Mark, Maglaras, Leandros A., He, Ying, & Janicke, Helge (2016). Human Behaviour as an aspect of Cyber Security Assurance. https://arxiv.org/pdf/1601.03921v1

Miao, Yuantian, Ruan, Zichan, Pan, Lei, Wang, Yu, Zhang, Jun, & Xiang, Yang (2018). Automated Big Traffic Analytics for Cyber Security. https://arxiv.org/pdf/1804.09023v1

Dang, Duong, Vartiainen, Tero, & Mekkanen, Mike (2024). Cyber Security in Energy Informatics: A Non-technical Perspective. https://arxiv.org/pdf/2405.01867v1

Bada, Maria, Sasse, Angela M., & Nurse, Jason R. C. (2019). Cyber Security Awareness Campaigns: Why do they fail to change behaviour?. International Conference on Cyber Security for Sustainable Society, 2015. https://arxiv.org/pdf/1901.02672v1

Meza, Juan, Campbell, Scott, & Bailey, David (2009). Mathematical and Statistical Opportunities in Cyber Security. https://arxiv.org/pdf/0904.1616v1

Kott, Alexander, Swami, Ananthram, & McDaniel, Patrick (2015). Six Potential Game-Changers in Cyber Security: Towards Priorities in Cyber Science and Engineering. https://arxiv.org/pdf/1511.00509v1

Downloads

Published

2026-06-26

Issue

Section

Engineering and Technology

Categories

How to Cite

CYBER SECURITY ESSENTIALS FOR SOCIAL WORKERS: MITIGATING AI-DRIVEN SOCIAL ENGINEERING THROUGH SURVEY-BASED BEHAVIORAL INTERVENTIONS. (2026). Kashf Journal of Multidisciplinary Research, 3(06), 55-62. https://doi.org/10.71146/kjmr962