Přístupnostní navigace
E-application
Search Search Close
Publication detail
PLUSKAL, J. RYŠAVÝ, O. MATOUŠEK, P.
Original Title
On the Identification of Applications from Captured Network Traffic
Type
presentation, poster
Language
English
Original Abstract
Digital forensics uses hashing as a tool to ensure data integrity and detecting known objects. Detecting know communication is more complicated as each data transfer contains specific and temporary characteristic, e.g., IP addresses, sequence numbers, and checksums. In network security, the anomaly or dangerous communication is identified by applying methods of traffic classification. In this presentation, we revisit the methods for traffic classification to determine an approach that can apply to the problem of distinguishing the traffic to known and suspect. Such classification can reduce the amount of information that needs to be analyzed by the forensic specialist during the investigation.
Keywords
cyber forensics, cyber security, intrusion detection system, metadata, traffic classification
Authors
PLUSKAL, J.; RYŠAVÝ, O.; MATOUŠEK, P.
Released
30. 9. 2016
Location
New York
Pages count
15
URL
https://prezi.com/wnxlghgkocti
BibTex
@misc{BUT133042, author="Jan {Pluskal} and Ondřej {Ryšavý} and Petr {Matoušek}", title="On the Identification of Applications from Captured Network Traffic", year="2016", pages="15", address="New York", url="https://prezi.com/wnxlghgkocti", note="presentation, poster" }