
Datasets referenced in a conference paper (submitted) Zip files are password-protected; the password will be revealed after paper acceptance. phish_public - phishing messages, a dataframe with columns: ts_anon - timestamp from_anon - sender to_anon - recipient subject_anon -suject content_anon - message text client_ip_anon - IP of the sender matched_domains - matched known malicious domains cluster_gt - spam campaign ID (ground truth) emb - embeddings of URLs in message phish_public_teaser is the preview of the file test_public - test dataset, a dataframe with columns: msg_id - message ID, as in the original dataset: AISec_Clustering paper_cluster_id - ground-truth emb - embeddings of URLs in message siamese_embeddings - embeddings of message text
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
