991 research outputs found
Digital Evidence Bag Selection for P2P Network Investigation
The collection and handling of court admissible evidence is a fundamental component of any digital forensic investigation. While the procedures for handling digital evidence take much of their influence from the established policies for the collection of physical evidence, due to the obvious differences in dealing with non-physical evidence, a number of extra policies and procedures are required. This paper compares and contrasts some of the existing digital evidence formats or âbagsâ and analyses them for their compatibility with evidence gathered from a network source. A new digital extended evidence bag is proposed to specifically deal with evidence gathered from P2P networks, incorporating the network byte stream and on-the-fly metadata generation to aid in expedited identification and analysis
BitTorrent Sync: Network Investigation Methodology
The volume of personal information and data most Internet users find
themselves amassing is ever increasing and the fast pace of the modern world
results in most requiring instant access to their files. Millions of these
users turn to cloud based file synchronisation services, such as Dropbox,
Microsoft Skydrive, Apple iCloud and Google Drive, to enable "always-on" access
to their most up-to-date data from any computer or mobile device with an
Internet connection. The prevalence of recent articles covering various
invasion of privacy issues and data protection breaches in the media has caused
many to review their online security practices with their personal information.
To provide an alternative to cloud based file backup and synchronisation,
BitTorrent Inc. released an alternative cloudless file backup and
synchronisation service, named BitTorrent Sync to alpha testers in April 2013.
BitTorrent Sync's popularity rose dramatically throughout 2013, reaching over
two million active users by the end of the year. This paper outlines a number
of scenarios where the network investigation of the service may prove
invaluable as part of a digital forensic investigation. An investigation
methodology is proposed outlining the required steps involved in retrieving
digital evidence from the network and the results from a proof of concept
investigation are presented.Comment: 9th International Conference on Availability, Reliability and
Security (ARES 2014
BitTorrent Sync: First Impressions and Digital Forensic Implications
With professional and home Internet users becoming increasingly concerned
with data protection and privacy, the privacy afforded by popular cloud file
synchronisation services, such as Dropbox, OneDrive and Google Drive, is coming
under scrutiny in the press. A number of these services have recently been
reported as sharing information with governmental security agencies without
warrants. BitTorrent Sync is seen as an alternative by many and has gathered
over two million users by December 2013 (doubling since the previous month).
The service is completely decentralised, offers much of the same
synchronisation functionality of cloud powered services and utilises encryption
for data transmission (and optionally for remote storage). The importance of
understanding BitTorrent Sync and its resulting digital investigative
implications for law enforcement and forensic investigators will be paramount
to future investigations. This paper outlines the client application, its
detected network traffic and identifies artefacts that may be of value as
evidence for future digital investigations.Comment: Proc. of Digtial Forensics Research Workshop (DFRWS EU 2014
Study of Peer-to-Peer Network Based Cybercrime Investigation: Application on Botnet Technologies
The scalable, low overhead attributes of Peer-to-Peer (P2P) Internet
protocols and networks lend themselves well to being exploited by criminals to
execute a large range of cybercrimes. The types of crimes aided by P2P
technology include copyright infringement, sharing of illicit images of
children, fraud, hacking/cracking, denial of service attacks and virus/malware
propagation through the use of a variety of worms, botnets, malware, viruses
and P2P file sharing. This project is focused on study of active P2P nodes
along with the analysis of the undocumented communication methods employed in
many of these large unstructured networks. This is achieved through the design
and implementation of an efficient P2P monitoring and crawling toolset. The
requirement for investigating P2P based systems is not limited to the more
obvious cybercrimes listed above, as many legitimate P2P based applications may
also be pertinent to a digital forensic investigation, e.g, voice over IP,
instant messaging, etc. Investigating these networks has become increasingly
difficult due to the broad range of network topologies and the ever increasing
and evolving range of P2P based applications. In this work we introduce the
Universal P2P Network Investigation Framework (UP2PNIF), a framework which
enables significantly faster and less labour intensive investigation of newly
discovered P2P networks through the exploitation of the commonalities in P2P
network functionality. In combination with a reference database of known
network characteristics, it is envisioned that any known P2P network can be
instantly investigated using the framework, which can intelligently determine
the best investigation methodology and greatly expedite the evidence gathering
process. A proof of concept tool was developed for conducting investigations on
the BitTorrent network.Comment: This is a thesis submitted in fulfilment of a PhD in Digital
Forensics and Cybercrime Investigation in the School of Computer Science,
University College Dublin in October 201
Network forensic Log analysis
Network forensics log analysis is the capturing, recording, and analysis of network events in order to discover the source of security attacks. An investigator needs to back up these recorded data to free up recording media and to preserve the data for future analysis. An investigator needs to perform network forensics process to determine which type of an attack over a network and to trace out the culprit. In the cyber-crime world huge log data, transactional data occurs which tends to plenty of data for storage and analyze them. It is difficult for forensic investigators to keep on playing with time and to find out the clues and analyze those collected data. In network forensic analysis, it involves network traces and detection of attacks. The trace involves an Intrusion Detection System and firewall logs, logs generated by network services and applications, packet captures. Network forensics is a branch of digital forensics that focuses on the monitoring and analysis of network traffic. Unlike other areas of digital forensics that focus on stored or static data, network forensics deals with volatile and dynamic data. It generally has two uses. The first, relating to security, involves detecting anomalous traffic and identifying intrusions. The second use, relating to law enforcement according to the chain of custody rule, involves capturing and Analyzing network traffic and can include tasks such as reassembling transferred files.âStop, look and listenâ systems, in which each packet is analysed in a rudimentary way in memory and only certain information saved for current analysis. On this analysis, we propose to archive data using various tools and provide a âunified structureâ based on a standard forensic process. This different unified structured IDS data are use to store and preserve in a place, which would be use to present as an evidence in court by the forensic analysis.
DOI: 10.17762/ijritcc2321-8169.15053
CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines
Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective.
The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines.
From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research
A systematic survey of online data mining technology intended for law enforcement
As an increasing amount of crime takes on a digital aspect, law enforcement bodies must tackle an online environment generating huge volumes of data. With manual inspections becoming increasingly infeasible, law enforcement bodies are optimising online investigations through data-mining technologies. Such technologies must be well designed and rigorously grounded, yet no survey of the online data-mining literature exists which examines their techniques, applications and rigour. This article remedies this gap through a systematic mapping study describing online data-mining literature which visibly targets law enforcement applications, using evidence-based practices in survey making to produce a replicable analysis which can be methodologically examined for deficiencies
iCOP:live forensics to reveal previously unknown criminal media on P2P networks
The increasing levels of criminal media being shared in peer-to-peer (P2P) networks pose a significant challenge to law enforcement agencies. One of the main priorities for P2P investigators is to identify cases where a user is actively engaged in the production of child sexual abuse (CSA) media â they can be indicators of recent or on-going child abuse. Although a number of P2P monitoring tools exist to detect paedophile activity in such networks, they typically rely on hash value databases of known CSA media. As a result, these tools are not able to adequately triage the thousands of results they retrieve, nor can they identify new child abuse media that are being released on to a network. In this paper, we present a new intelligent forensics approach that incorporates the advantages of artificial intelligence and machine learning theory to automatically flag new/previously unseen CSA media to investigators. Additionally, the research was extensively discussed with law enforcement cybercrime specialists from different European countries and Interpol. The approach has been implemented into the iCOP toolkit, a software package that is designed to perform live forensic analysis on a P2P network environment. In addition, the system offers secondary features, such as showing on-line sharers of known CSA files and the ability to see other files shared by the same GUID or other IP addresses used by the same P2P client. Finally, our evaluation on real CSA case data shows high degrees of accuracy, while hands-on trials with law enforcement officers demonstrate the toolkitâs complementarity to extant investigative workflows
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