Netfox Detective: A tool for advanced network forensics analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116985" target="_blank" >RIV/00216305:26230/15:PU116985 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10863" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10863</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Netfox Detective: A tool for advanced network forensics analysis

Popis výsledku v původním jazyce

Network forensics is a process of capturing, collecting and analysing network data for the purposes of information gathering, legal evidence, or intrusion detection. The new generation internet opens novel opportunities for cybercrime activities and security incidents using network applications. Security administrators and LEA (Law Enforcement Agency) officers are challenged to employ advanced tools and techniques in order to detect unlawful or unauthorized activities. In case of serious suspicion of crime activity, network forensics tools and techniques are used to find out legal evidences in a captured network communication that prove or disprove suspect's participation on that activity. Today, there are various commercial or free tools for network forensics analysis available, e.g., Wireshark, Network Miner, NetWitness, Xplico, NetIntercept, or PacketScan. Many of these tools lack the ability of successful reconstruction of communication when using incomplete, duplicated or corrupted input data. Investigators also require an advanced automatic processing of application data that helps them to see real contents of conversation that include chats, VoIP talks, file transmission, email exchange etc. Our research is focused on design and implementation of a modular framework for network forensics with advanced possibilities of application reconstruction. The proposed architecture consists of (i) input packet processing, (ii) an advanced reconstruction of L7 conversations, and (iii) application-based analysis and presentation of L7 conversations. Our approach employs various advanced reconstruction techniques and heuristics that enable to work even with corrupted or incomplete data, e.g. one-directional flows, missing synchronization, unbounded conversations, etc. The proposed framework was implemented in a tool Netfox Detective developed by our research group. This paper shows its architecture from functional and logical point of view and its

Název v anglickém jazyce

Netfox Detective: A tool for advanced network forensics analysis

Popis výsledku anglicky

Network forensics is a process of capturing, collecting and analysing network data for the purposes of information gathering, legal evidence, or intrusion detection. The new generation internet opens novel opportunities for cybercrime activities and security incidents using network applications. Security administrators and LEA (Law Enforcement Agency) officers are challenged to employ advanced tools and techniques in order to detect unlawful or unauthorized activities. In case of serious suspicion of crime activity, network forensics tools and techniques are used to find out legal evidences in a captured network communication that prove or disprove suspect's participation on that activity. Today, there are various commercial or free tools for network forensics analysis available, e.g., Wireshark, Network Miner, NetWitness, Xplico, NetIntercept, or PacketScan. Many of these tools lack the ability of successful reconstruction of communication when using incomplete, duplicated or corrupted input data. Investigators also require an advanced automatic processing of application data that helps them to see real contents of conversation that include chats, VoIP talks, file transmission, email exchange etc. Our research is focused on design and implementation of a modular framework for network forensics with advanced possibilities of application reconstruction. The proposed architecture consists of (i) input packet processing, (ii) an advanced reconstruction of L7 conversations, and (iii) application-based analysis and presentation of L7 conversations. Our approach employs various advanced reconstruction techniques and heuristics that enable to work even with corrupted or incomplete data, e.g. one-directional flows, missing synchronization, unbounded conversations, etc. The proposed framework was implemented in a tool Netfox Detective developed by our research group. This paper shows its architecture from functional and logical point of view and its

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/VG20102015022" target="_blank" >VG20102015022: Moderní prostředky pro boj s kybernetickou kriminalitou na Internetu nové generace</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of Security and Protection of Information (SPI) 2015

ISBN

978-80-7231-997-8

ISSN

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e-ISSN

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Počet stran výsledku

17

Strana od-do

147-163

Název nakladatele

Brno University of Defence

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

20. 5. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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