Navigating Account Security: Advanced Tactics for Recognizing and Addressing Takeovers

ATO is among those big threats which are gaining momentum very fast towards online banking systems, guaranteed unauthorized entry into a user's account, probably causing financial losses. If suspicious activities have then been detected, a real-time warning is forwarded to the user, who can immediately take action to change their password or call customer support. Though traditional preventive measures span from an absolutely blocked user to asking for further authentication, there exists a need not to disrupt the user's usual experience more than necessary, at the right time; it will make users more aware of potential risks, thus more cautious in their online activities without feeling overrun by safety It uses contextual information of user behavior and network status to make informed decisions about the identification of unauthorized access attempts. The study's findings further establish a proof that this model of detection does a good job in the finding of suspicious activities and sending actionable alerts to help in reducing the chances of account. It grants a system the ability to enhance its security for users by preventing huge losses in finances with minimal disruption of the legitimate accesses of accounts.

Authors

Institutions

Publication Details

Published
2025-04-17
DOI
https://doi.org/10.1109/icdsbs63635.2025.11031617
Citations
3
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
9.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigating Account Security: Advanced Tactics for Recognizing and Addressing Takeovers

Vigneshkumar Murugesan, B. Likhitha, S. Jahnavi, N.R. Sathis Kumar et al.
3 citations
Insurance and Financial Risk Management
9.39
article

Navigating Account Security: Advanced Tactics for Recognizing and Addressing Takeovers

Vigneshkumar Murugesan, B. Likhitha, S. Jahnavi, N.R. Sathis Kumar, Ch. Satwika, T. Sai Spandhana
article en
3 citations

Abstract

ATO is among those big threats which are gaining momentum very fast towards online banking systems, guaranteed unauthorized entry into a user's account, probably causing financial losses. If suspicious activities have then been detected, a real-time warning is forwarded to the user, who can immediately take action to change their password or call customer support. Though traditional preventive measures span from an absolutely blocked user to asking for further authentication, there exists a need not to disrupt the user's usual experience more than necessary, at the right time; it will make users more aware of potential risks, thus more cautious in their online activities without feeling overrun by safety It uses contextual information of user behavior and network status to make informed decisions about the identification of unauthorized access attempts. The study's findings further establish a proof that this model of detection does a good job in the finding of suspicious activities and sending actionable alerts to help in reducing the chances of account. It grants a system the ability to enhance its security for users by preventing huge losses in finances with minimal disruption of the legitimate accesses of accounts.

Kalasalingam Academy of Research and Education (IN)
Openalex Percentile: Top 3%
Insurance and Financial Risk Management
9.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.