International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Informative Article | Science and Technology | India | Volume 12 Issue 1, January 2023 | Rating: 3.7 / 10

AI in Fraud Detection for Elderly People - Preventing Scams against Elderly People

Reshma Sudra

Abstract: The fraudulent actions are elevating year by year in the technological world. It is crucial to identify such scam action for all the demographic populace from young adults to the elderly populace. The frauds are targeting senior citizens as they are weakened both physically as well as psychologically. It is performed mainly by trusted persons and with the intention of malicious actions. It is exemplified in the form of text or e - mail phishing, fake news, gambling or romance scams, investments or cryptocurrency scams, and health or consumer fraudulence. The fraudulent actions are prevented using the employment of AI techniques. It has the potential to identify spam calls or text messages and provide alertness which minimizes the risk of financial losses. Several digital fraudsters are more skillful and evaluate the loopholes and thereby develop cunning techniques such as phishing and wittingly money the unsuspected victims. Senior citizens are more vulnerable to such malicious actions and face economic losses. The present study analyses the financial threats to senior citizens and it overviews the modifications of the senior citizens in the emotional, biological, and psychological states. Moreover, the significance of AI techniques is discussed elaborately. The differential framework of AI is proposed and their beneficiaries are listed. Additionally, the mitigation strategies are proposed to distinguish spam from the senior populace thereby providing a secure digital environment. The present study contributes to the precious senior citizens by enabling them to live in a comfortable digital era.

Keywords: AI, elderly populace, fraudulent actions, mitigation strategies, digital environment

Edition: Volume 12 Issue 1, January 2023,

Pages: 1278 - 1286

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