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PhishShield: A Client-Side AI/ML Powered Browser Extension For Real-Time Phishing Detection

https://doi.org/10.2139/ssrn.6981428
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.comcom.2021.04.023openalex-snapshot
A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment
inferredcites →https://doi.org/10.1016/j.cose.2017.04.006openalex-snapshot
Phishing environments, techniques, and countermeasures: A survey
inferredcites →https://doi.org/10.1016/j.eswa.2018.09.029openalex-snapshot
Machine learning based phishing detection from URLs
inferredcites →https://doi.org/10.1016/j.ijhcs.2018.12.004openalex-snapshot
Persuasion: How phishing emails can influence users and bypass security measures
inferredcites →https://doi.org/10.1038/s41598-022-10841-5openalex-snapshot
An effective detection approach for phishing websites using URL and HTML features
inferredcites →https://doi.org/10.1080/17517575.2021.1896786openalex-snapshot
A survey of phishing attack techniques, defence mechanisms and open research challenges
inferredcites →https://doi.org/10.1109/access.2020.2982411openalex-snapshot
Deep Learning for Edge Computing Applications: A State-of-the-Art Survey
inferredcites →https://doi.org/10.1109/access.2023.3287226openalex-snapshot
PhishCatcher: Client-Side Defense Against Web Spoofing Attacks Using Machine Learning
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1109/msp.2020.2975749openalex-snapshot
Federated Learning: Challenges, Methods, and Future Directions
inferredcites →https://doi.org/10.1145/1242572.1242659openalex-snapshot
Cantina
inferredcites →https://doi.org/10.1145/1557019.1557153openalex-snapshot
Beyond blacklists
inferredcites →https://doi.org/10.1145/1753326.1753383openalex-snapshot
Who falls for phish?
inferredcites →https://doi.org/10.1145/1961189.1961202openalex-snapshot
Learning to detect malicious URLs
inferredcites →https://doi.org/10.1145/3487552.3487827openalex-snapshot
Understanding the performance of webassembly applications
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