iReportCyberCrime platform is designed to capture eventful information about cyber crime
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Victim
Are you a victim of a cybercrime event and nothing could be done about it?
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Law Enforcement Agent
Tired of finding novel artifacts and not sharing them?
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Background
A large proportion of cybercrime attacks are text-data based; that is, if the cyberattack propagation method is non-technical. Though copious information about the attacks, like, the corpora, unstructured text and meta-data can be extracted.
However, such information is usually unavailable for digital forensic (DF) investigation because these cyber-attacks are often unreported. One of the reasons for victim under-reporting of cybercrime is the lack of any anonymous system to report cybercrime.
The iReport cybercrime system is a system that employs a defined digital forensic criterion for reporting cybercrime attacks anonymously.
The purpose of the iReport system in its current state is to provide anonymous cybercrime report (data) for research purposes.
The iReport cybercrime data provided by the volunteers (cybercrime victims) will be analysed using natural language processing approaches with machine learning techniques to process the text data.
Then, a creation of a natural language data preparation semantic builder that is integrated to store text-data mapped to the semantics of the cyber-attacker is used to create a defined DF cybercrime language library.
The iReport cybercrime database will be integrated to other law enforcement agentβs cybercrime report DB to enhance data volume and enhance accuracy of the NLP approaches used on the text-data.
The generated natural language (NL), semantic data of reported cybercrime data is developed as a plugin and APIs, pluggable to any DF investigation tools and applications.
Other benefits of the iReport cybercrime are as follow:
Volunteer (cybercrime victim) can report real cybercrime to be used for research to identify the cybercriminal when the attempt to attack a new victim.
The iReport cybercrime system generates useful data for the implementation of digital forensic readiness architecture and planning that is re-usable and scalable to accommodate other forms of intrusion detection techniques and processes.
To design and develop cyber-attack reporting tools and techniques using the information provided by you βthe cybercrime victimβ, especially in a text-based cyber-attacks.
To provide research data for cybercrime data analytics using the gathered reported cybercrime information.
Victim
Are you a victim of a cybercrime attack? Why not report it to us so that we can find and develop solutions to prevent such attacks from happening again.
The data you submit is strictly for research purposes and all information you submit will remain anonymous if you chose too.
Your input helps us with developing state-of-the-art research methods to prevent anyone from being a victim of a crime.
As law enforcement agents or security experts you can help us by submitting artifacts of interest or even detailed analysis of crimes you have investigated.
By supplying us with this we can train and improve NLP techniques to be more robust and current. This also help us understand the various needs law enforcement has when performing investigation to catch perpetrators.
This also helps us to simplify your task at hand in attempt to develop digital forensic readiness tools/processes to make investigation all so simpler.
