Publications

@article{gangwar_phishfingerprint_2018,

title = {Phishfingerprint: A practical approach for phishing web page identity retrieval based on visual cues},

author = {Abhishek Gangwar and Eduardo Fidalgo and Enrique Alegre and Vıctor González-Castro},

url = {https://scholar.google.es/citations?view_op=view_citation&hl=en&user=opCbArQAAAAJ&cstart=100&pagesize=100&sortby=title&citation_for_view=opCbArQAAAAJ:XiSMed-E-HIC},

year  = {2018},

date = {2018-01-01},

journal = {International Conference of Applications of Intelligent Systems},

abstract = {This paper proposes a framework to maintain a repository of phishing web pages and retrieve the identity of newly reported phishing pages. The framework has two key contributions: first, it introduces a semi-automated method to create a non-redundant database of phishing websites. Second, it presents a robust two-stage approach to identify the reported phishing page by comparing its visual similarity to the registered pages using perceptual hash fingerprinting.},

keywords = {Cybersecurity, Perceptual Hash, Phishing, Visual Similarity},

pubstate = {published},

tppubtype = {article}

}