Social Engineering Simulator: Enhancing Cybersecurity Awareness Through Realistic Simulation
Modadugu Sai Yaswanth Assistant Professor Department of Cyber Security
Narasaraopeta Engineering College Narasaraopet, Palnadu, India yaswanthsai225@gmail.com
Devu Bala Brahmaji Department of Cyber Security
Narasaraopeta Engineering College
Narasaraopet, Palnadu, India balabrahmajid@gmail.com
Ramavath Lekhya Department of Cyber Security
Narasaraopeta Engineering College
Narasaraopet, Palnadu, India lekhyaramavath@gmail.com
Vankayalapati Rahul Babu
Department of Cyber Security Narasaraopeta Engineering
College Narasaraopet, Palnadu, India
Rahulbabuvankayalapati4@gmail.com
G. Ramesh Department of CSE, GRIET, Hyderabad,
Telangana, India. ramesh680@gmail.com
Jyothi Uppari
Department of Information Technoldgy,
GNITS(for women)
Shaikpet,Hyderabad, Telangana, India
Jyothi.uppari@gnits.ac.in
Abstract— Social engineering attacks continue to pose a serious threat to modern organizational security by exploiting human behavior rather than technical weaknesses. This paper presents the design and implementation of a Social Engineering Simulator developed to enhance cybersecurity awareness through realistic and controlled attack simulations. The proposed system replicates common attack vectors including phishing, vishing, smishing, impersonation, and baiting to evaluate user responses and improve decision-making skills in high-risk situations. The simulator integrates automated campaign management, behavioral analytics, real-time monitoring, and feedback mechanisms to strengthen organizational resilience against human- centric threats. A modular architecture consisting of frontend, backend, database, and detection layers supports scalability and efficient data processing. Machine learning–based analysis enables identification of risky patterns and supports adaptive training strategies tailored to user performance. Experimental evaluation demonstrates improvements in user
awareness, reduced response time to suspicious activities, and measurable decline in unsafe interactions during repeated simulations. The findings indicate that immersive simulation-based training enhances preparedness compared to traditional awareness programs. The system provides a practical, scalable, proactive approach for organizations seeking to minimize human-factor vulnerabilities and build a strong security culture against evolving social engineering threats.
Keywords—Social Engineering, Cybersecurity Awareness Training, Phishing Simulation, Human- Centric Security, Behavioral Security Analytics, Insider Threat Detection, Cyber Attack Simulation, Security Awareness Systems.
