Detecting Phishing Websites Using Rule-Based Classification Algorithm: A Comparison-Reference-Cited by-同舟云学术

Detecting Phishing Websites Using Rule-Based Classification Algorithm: A Comparison

Published:2017-11-08 Issue: Volume: Page:21-33
ISSN:2367-3370
Container-title:Information and Communication Technology for Sustainable Development
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Author:

Gautam Sudhanshu,Rani Kritika,Joshi Bansidhar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-3932-4_3

Reference6 articles.

1. Abdelhamid N, Ayesh A, Thabtah F (2014) Phishing detection based associative classification data mining. Expert Syst Appl 41. Elsevier

2. Mahajan A, Ganpati A (2014) Performance evaluation of rule based classification algorithms. Int J Ad Res Comput Eng Technol (IJARCET)

3. Taalohi M, Langari N, Tabatabaee H (2015) Identifying phishing websites by techniques hyper heuristic and machine learning. ISSN Sci Int. Lahore

4. Datasets of phishing and legitimate websites from the sites as Phishtank, Millersmiles, and UCI machine learning repository site. https://archive.ics.uci.edu/ml/datasets.html

5. Naïve Bayes algorithm. https://en.wikipedia.org/wiki/Naive_Bayes_classifier

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