Detail publikace

Network Forensic Analysis for Lawful Enforcement Steroids, Distributed and Scalable

LETAVAY, V. PLUSKAL, J. RYŠAVÝ, O.

Originální název

Network Forensic Analysis for Lawful Enforcement Steroids, Distributed and Scalable

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Forensic analysis of intercepted network traffic focuses on finding and extracting communication evidence, such as instant messaging, email, VoIP calls, localization information, documents, images. Due to the amount of data captured, this process is time-consuming and complicated. Most commonly used forensic network analysis tools have limited capabilities for large data processing. In this paper, we are introducing a new tool that, through distributed processing, achieves better data processing performance using available computing resources. Thanks to the technology used, this tool can be used on commodity hardware in a local area network, in a dedicated computing cluster or cloud environment.

Klíčová slova

Network Forensics, Network Traffic Processing, Distributed Computing

Autoři

LETAVAY, V.; PLUSKAL, J.; RYŠAVÝ, O.

Vydáno

31. 5. 2019

Nakladatel

Association for Computing Machinery

Místo

Bucharest

ISBN

978-1-4503-7636-5

Kniha

Proceedings of the 6th Conference on the Engineering of Computer Based Systems (ECBS 2019), 2019

Strany od

1

Strany do

10

Strany počet

9

URL

https://dl.acm.org/citation.cfm?id=3352720

BibTex

@inproceedings{BUT161452,
  author="Viliam {Letavay} and Jan {Pluskal} and Ondřej {Ryšavý}",
  title="Network Forensic Analysis for Lawful Enforcement Steroids, Distributed and Scalable",
  booktitle="Proceedings of the 6th Conference on the Engineering of Computer Based Systems (ECBS 2019), 2019",
  year="2019",
  pages="1--10",
  publisher="Association for Computing Machinery",
  address="Bucharest",
  doi="10.1145/3352700.3352720",
  isbn="978-1-4503-7636-5",
  url="https://dl.acm.org/citation.cfm?id=3352720"
}

Dokumenty

ECBS2019__LEA_s_Network_Forensic_Analysis_on_Steroids__Distributed_and_Scalable.pdf