Volodina, Ekaterina; Aziz, Adnan; Rathgeb, Erwin P.; Hossfeld, Tobias:
Application of Visual Analysis to Detect and Analyze Patterns in VoIP Attack Traffic
In: Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018 - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018, New York, United States, 31 July 2018 through 3 August 2018 - Piscataway: Institute of Electrical and Electronics Engineers Inc., 2018, S. 260 - 268
2018Buchaufsatz/Kapitel in Tagungsband
InformatikFakultät für Wirtschaftswissenschaften » Fachgebiet Informatik » Technik der Rechnernetze
Titel in Englisch:
Application of Visual Analysis to Detect and Analyze Patterns in VoIP Attack Traffic
Autor*in:
Volodina, EkaterinaUDE
LSF ID
58580
Sonstiges
der Hochschule zugeordnete*r Autor*in
;Aziz, AdnanUDE
LSF ID
58414
Sonstiges
der Hochschule zugeordnete*r Autor*in
;Rathgeb, Erwin P.UDE
LSF ID
11501
Sonstiges
der Hochschule zugeordnete*r Autor*in
;Hossfeld, TobiasUDE
LSF ID
56833
Sonstiges
der Hochschule zugeordnete*r Autor*in
DOI
10.1109/TrustCom/BigDataSE.2018.00048
Scopus ID
85054087957
Sprache des Textes:
Englisch
Erschienen in
Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
Konferenz
17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018, New York, United States, 31 July 2018 through 3 August 2018
Erscheinungsort:
Piscataway
Verlag:
Institute of Electrical and Electronics Engineers Inc.
Erscheinungsjahr:
2018
in:
S. 260 - 268
ISBN
9781538643877
ISBN
978-1-5386-4388-4
ISBN
978-1-5386-4389-1
Schlagwort, Thema:
Attack traffic ; Data visualization ; Empty UA ; Exploratory data analysis ; Gephi ; Random User Agent ; SIP ; SipCLI ; Toll-Fraud ; VaxSIP ; VoIP