Detail publikace

A Scalable Architecture for Network Traffic Forensics

LETAVAY, V. PLUSKAL, J. RYŠAVÝ, O.

Originální název

A Scalable Architecture for Network Traffic Forensics

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

Availability of high-speed Internet enables new opportunities for various cybercrime activities. Security administrators and LEA (Law Enforcement Agency) officers call for powerful tools capable of providing network communication analysis of an enormous amount of network traffic moreover, capable of analyzing an incomplete network data.  Big data technologies were considered to implement tools for capturing, processing and storing packet traces representing network communication. Often, these systems are resource intensive requiring a significant amount of memory, computing power, and disk space. Presented paper describes a novel approach to real-time network traffic processing implemented in a distributed environment. The key difference to most existing systems is that the system is based on a light-weight actor model. The whole processing pipeline is represented in terms of actor nodes that can run in parallel. Also, actor-model offers a solution that is highly configurable and scalable.  The preliminary evaluation of a prototype implementation supports these general statements.

Klíčová slova

Network forensic analysis, Network trafc processing, Actor model

Autoři

LETAVAY, V.; PLUSKAL, J.; RYŠAVÝ, O.

Vydáno

22. 2. 2019

Nakladatel

The International Academy, Research and Industry Association

Místo

Athens

ISBN

978-1-61208-711-5

Kniha

The Fifteenth International Conference on Networking and Services ICNS 2019

Strany od

32

Strany do

36

Strany počet

5

URL

https://www.fit.vut.cz/research/publication/11927/

BibTex

@inproceedings{BUT161560,
  author="Viliam {Letavay} and Jan {Pluskal} and Ondřej {Ryšavý}",
  title="A Scalable Architecture for Network Traffic Forensics",
  booktitle="The Fifteenth International Conference on Networking and Services ICNS 2019",
  year="2019",
  pages="32--36",
  publisher="The International Academy, Research and Industry Association",
  address="Athens",
  isbn="978-1-61208-711-5",
  url="https://www.fit.vut.cz/research/publication/11927/"
}

Dokumenty

ICNS2019___A_Scalable_Architecture_for_Network_Traffic_Forensics.pdf