Safe Browsing: A Comprehensive Framework to Minimize Phishing Attacks and Enhance online Security.

Phishing attacks are a significant cybersecurity threat, exploiting human vulnerabilities through deceptive emails, websites, and social engineering techniques to gain unauthorized access to sensitive information. These attacks are becoming increasingly sophisticated, leveraging advanced methods like spear phishing, voice phishing (vishing), and smishing, making it harder for individuals and organizations to recognize them. The paper aims to study the nature, types, and evolution of phishing attacks, with a focus on understanding the factors that contribute to their success. Based on this analysis, the paper proposes a comprehensive framework designed to minimize the impact of phishing attacks. The framework integrates various preventive and detection mechanisms, including user education, advanced AI-based detection systems,secure authentication practices,and real time phishingattack monitoring .Additionally,it suggests a multi-layered approach that combines technological, procedural, and human-centric solutions to create a resilient defense mechanism against phishing.

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.52783/eel.v15i2.3080
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Safe Browsing: A Comprehensive Framework to Minimize Phishing Attacks and Enhance online Security.

Spam and Phishing Detection
article

Safe Browsing: A Comprehensive Framework to Minimize Phishing Attacks and Enhance online Security.

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Abstract

Phishing attacks are a significant cybersecurity threat, exploiting human vulnerabilities through deceptive emails, websites, and social engineering techniques to gain unauthorized access to sensitive information. These attacks are becoming increasingly sophisticated, leveraging advanced methods like spear phishing, voice phishing (vishing), and smishing, making it harder for individuals and organizations to recognize them. The paper aims to study the nature, types, and evolution of phishing attacks, with a focus on understanding the factors that contribute to their success. Based on this analysis, the paper proposes a comprehensive framework designed to minimize the impact of phishing attacks. The framework integrates various preventive and detection mechanisms, including user education, advanced AI-based detection systems,secure authentication practices,and real time phishingattack monitoring .Additionally,it suggests a multi-layered approach that combines technological, procedural, and human-centric solutions to create a resilient defense mechanism against phishing.

Openalex Percentile: Top 85%
Spam and Phishing Detection
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