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BARS 2021

Designing AI-driven Cyber Security Education for Senior Citizen

Author: JAHIN BARO BHUIYAN
Mentor: Dr. Mohammad Azhar
Institution: BMCC
Abstract: During COVID-19, throughout the last year cybercrime has increased 247%. Senior Citizens (65+) with limited Cybersecurity awareness became the biggest victims. The primary goal of the research is to investigate how an Artificial Intelligence (AI) chatbot can be designed that can answer cybersecurity questions and make necessary suggestions to make the cyber interaction safer for Senior Citizens. We developed an AI chatbot built with IBM Watson assistants that can answer crucial cybersecurity questions to make safer computing human interaction with computers, mobile, and IoT devices. The web chatbot was built with the target audience in mind and hence the interface is very simple, answering every question with a picture or video to demonstrate the instructions. The chatbot can answer crucial questions like how to turn on/off location services, what are some strong passwords and what does the term two-factor authentication mean. There is also a voice assistant option so that people can ask questions rather than type them. We are currently designing a user study to conduct experiments. We plan to collect data and analyze to build an informative and educational website for the Senior Citizens. In the future of the project, we will develop a mobile application with an AI chatbot for cybersecurity threat education for the same age group. The overall goal of this research is to identify the cybersecurity education for Senior Citizens and develop artificial intelligence and data-driven mobile and web solutions to help them prevent future cybersecurity crime.

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