GPT-2C: A parser for honeypot logs using large pre-trained language models

Approved

Classifications

MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Category
Artikkeli
Refereed
Kyllä
Sub category
Konferenssijulkaisu
Type
Artikkeli tieteellisessä konferenssijulkaisussa

Publication information

OKM publication type
A4
Category
Artikkeli
Sub category
Konferenssijulkaisu
Type
Artikkeli tieteellisessä konferenssijulkaisussa
Refereed
Kyllä

Authors of the publication

Number of authors
6
Authors
Setianto, F.; Tsani, E.; Sadiq, F.; Domalis, G.; Tsakalidis, D.; Kostakos, P.
Local authors

Publication channel information

Title of host publication
13th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021
Editors of host publication
Coscia C.; Cuzzocrea A.; Shu K.
ISBN (print)
978-1-4503-9128-3
Name of conference
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Publisher
ACM
Publication forum ID
5098
Publication forum level
1
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2021
Reporting year
2021
Page numbers
649-653
DOI
10.1145/3487351.3492723
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
Yes

Availability

Link to online publication
Link to self-archived version

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences
Keywords
Cowrie; GPT-2; honeypots; intrusion detection systems (IDSs); language models; logs; parser; question answering; Cowrie; GPT-2; honeypots; intrusion detection systems (IDSs); language models; logs; parser; question answering

Source database ID

WoS ID
WOS:001196170500099
Scopus ID
2-s2.0-85124401996