Comparison on different datasets used for phishing attacks detection.
Comparison on different datasets used for phishing attacks detection. You may also create a table for helpful way – an example is attached to you in the file called links.
You may also use the links of some references – attached to you in in the file called links-
Finally, try to use the recent research paper from 2018 and above
Example of compare table as shown in table 1
https://www.scirp.org/journal/paperinformation.aspx?paperid=86682
Some helpful references for the dataset
https://data.mendeley.com/datasets/72ptz43s9v/1
https://www.sciencedirect.com/science/article/pii/S2352340920313202
https://www.researchgate.net/publication/345233023_Datasets_for_phishing_websites_detection
http://www.fcsit.unimas.my/research/legit-phish-set
https://data.mendeley.com/datasets/h3cgnj8hft/1
http://csmining.org/index.php/spam-email-datasets-.html
http://www.csmining.org/index.php/spam-assassin-datasets.html
https://archive.ics.uci.edu/ml/datasets/Phishing+Websites#
http://eprints.hud.ac.uk/24330/
http://ceur-ws.org/Vol-2124/
https://data.mendeley.com/datasets/h3cgnj8hft/1
https://archive.ics.uci.edu/ml/datasets/Website+Phishing
https://d1wqtxts1xzle7.cloudfront.net/63544102/detection-of-phishing-websites-using-an-IJERTV9IS05088820200606-124637-8kwtm0-with-cover-page-v2.pdf?Expires=1624625096&Signature=BKn-LyOPxeBx26W7krgsWqbz6pNGKMeOV8-yW1Hv0I9YmltSIcdhqF97YWYtC4yr~cRKN-sEV09h8WmP3dJN~h4IGk7ik~wxsBKbN~i3sNRdMY3tTigy~LRtTNdLmbRRHrDQNPkV0auJthiHym96finCRW62XMzj4oZVfbGhtkMlbAK23zNM6g-ZZjf3Bcnu6V~KIAQ~rOVCMQ3ryCCkxJYiFC8mL3LU7hs3~~nX63UOAkHM3M2TGoQQuZhbBBUwHzBMaSZ7lbZbOR6lcKRL07XbSSZx5tbnMXNp5qwkvDSacxHCW3HDZ0YC5p1hI-jd9aTvxOjE02Xcw84e4ra9nA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
https://www.researchgate.net/profile/Ali-Adil-Yassin/publication/351691395_An_Efficient_Mechanism_to_Prevent_the_Phishing_Attacks/links/60a4f81d299bf106136a02a2/An-Efficient-Mechanism-to-Prevent-the-Phishing-Attacks.pdf
https://arxiv.org/pdf/2104.01255.pdf
https://link.springer.com/chapter/10.1007/978-3-030-60796-8_26
