Cyber-Phishing Analysis offering Cyber Security for Social Networks

Social phishers cleverly devise stringent methods to secretly obtain login_names and passwords by forming seemingly friendly connections through microblogs and various social media platforms. They adapt these techniques to gain financial benefits. The 2024 APWG latest report shows that Cyber-Phishing attacks are increasing using different methods like fake websites, fake email links, and social media content. Despite efforts to defend against these attacks, there are still problems, especially with compromised microblogs in social network environments (SNEs). This puts confidential information at risk. It's crucial to stop Cyber-Phishing attacks on SNEs, and this paper looks at different ways to detect and prevent Social Cyber-Phishing specifically for these environments.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/icbds61829.2024.10837181
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
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article

Cyber-Phishing Analysis offering Cyber Security for Social Networks

Mohammed Misbahuddin, Muhammad Kabeer, Mohd Khaja Moizuddin
Spam and Phishing Detection
article

Cyber-Phishing Analysis offering Cyber Security for Social Networks

Mohammed Misbahuddin, Muhammad Kabeer, Mohd Khaja Moizuddin
article en

Abstract

Social phishers cleverly devise stringent methods to secretly obtain login_names and passwords by forming seemingly friendly connections through microblogs and various social media platforms. They adapt these techniques to gain financial benefits. The 2024 APWG latest report shows that Cyber-Phishing attacks are increasing using different methods like fake websites, fake email links, and social media content. Despite efforts to defend against these attacks, there are still problems, especially with compromised microblogs in social network environments (SNEs). This puts confidential information at risk. It's crucial to stop Cyber-Phishing attacks on SNEs, and this paper looks at different ways to detect and prevent Social Cyber-Phishing specifically for these environments.

Centre for Development of Advanced Computing (IN), B.S. Abdur Rahman Crescent Institute of Science & Technology (IN)
Openalex Percentile: Top 59%
Spam and Phishing Detection
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