These malicious URLs are found to propagate through OSNs, which fail to stop them effectively as well. In this paper, we develop a machine learning classifier ...
"Detecting malicious short URLs on Twitter" by Raj Kumar Nepali, Yong ...
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These malicious URLs are found to propagate through OSNs. In this paper, we propose a mechanism to develop a machine learning classifier to detect malicious ...
In this paper, we propose a novel approach to detect malicious short URLs using only visible features of tweets and user profiles. We test four machine ...
A mechanism to develop a machine learning classifier to detect malicious short URLs with visible content features, tweet context, and social features from ...
Dec 22, 2024 · Frequently URL shortening services are used to make malicious URLs seem more trustworthy and harder to detect. In recent weeks we have noticed a ...
In this project, a system is developed that de- tected suspicious URLs on twitter. Instead of checking for the landing pages of each. URL in each tweet, the ...
The URLs which were confirmed to be malicious were then analyzed to find the patterns and obfuscation tactics used by the attackers to make these websites ...
Crawler browser marks the suspicious URL. This system finds such malicious URLs by using five features like initial URL, similar text, friend follower ratio and ...
Moreover, the malicious URLs are not directly posted in tweets as they are shortened and modified using advanced tools, which makes it difficult to detect them ...
In this paper we present a method to identify tweets that a user may find interesting enough to retweet. The method is based on a global, but personalized ...