Tranalyzer: Versatile high performance network traffic analyser

Autor: Benoit Dupasquier, Stefan Burschka

Publikováno v: SSCI

IP-based networks are prone to hardware failures, software errors and misconfigurations. This leads to service outages, such as those experienced by American Airlines in 2015. Moreover, cyber threats are becoming ever more sophisticated. As demonstra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c6d297444b056634182429ee793599d
https://doi.org/10.1109/ssci.2016.7849909

On the Privacy of Encrypted Skype Communications

Autor: Benoit Dupasquier, Stefan Burschka, Kieran McLaughlin, Sakir Sezer

Publikováno v: Dupasquier, B, Burschka, S, McLaughlin, K & Sezer, S 2010, On the Privacy of Encrypted Skype Communications . in 2010 IEEE Global Telecommunications Conference (GLOBECOM 2010) . Institute of Electrical and Electronics Engineers Inc., pp. 1-5, IEEE Global Telecommunications Conference (GLOBECOM) 2010, Miami, United States, 06/12/2010 . https://doi.org/10.1109/GLOCOM.2010.5684214
GLOBECOM

The privacy of voice over IP (VoIP) systems is achieved by compressing and encrypting the sampled data. This paper investigates in detail the leakage of information from Skype, a widely used VoIP application. In this research, it has been demonstrate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::491824328af53fa77d8ff4d44b98d670
https://pure.qub.ac.uk/en/publications/49fd48db-318f-4fb1-88ea-0f30f8202f12

Traffic to protocol reverse engineering

Autor: Stefan Burschka, Ernst W. Biersack, Antonio Trifilo

Publikováno v: CISDA

Network Protocol Reverse Engineering (NPRE) has played an increasing role in honeypot operations. It allows to automatically generate Statemodels and scripts being able to act as realistic counterpart for capturing unknown malware. This work proposes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d38072608ce20c6d344cb0f807a86602
https://doi.org/10.1109/cisda.2009.5356565

Testing Detector Parameterization Using Evolutionary Exploit Generation

Autor: Stefan Burschka, Malcolm I. Heywood, Hilmi Gunes Kayacik, A. Nur Zincir-Heywood

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642011283
EvoWorkshops

The testing of anomaly detectors is considered from the perspective of a Multi-objective Evolutionary Exploit Generator (EEG). Such a framework provides users of anomaly detection systems two capabilities. Firstly, no knowledge of protected data stru

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e3cee64645ba6df1fb12f13d058df819
https://doi.org/10.1007/978-3-642-01129-0_13