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Nature of Cybercriminality - Coggle Diagram
Nature of Cybercriminality
Community
of Cybercriminals
#
Trust between them, collaboration, cooperation
Onboarding
new cybercriminals and helping them
Training
courses, online courses for cybercriminals
Textbooks,
entrepreneurship in education
for cybercrime
Trust/Mistrust are being considered
Cybercriminals are the only people on the planet that read
a company's T&Cs
Thought/Planning
Location (e.g. Estonia Bank account)
HOW
that was selected
Geopolitical tensions
#
Differences in Justice Systems
Lack of collaboration
Globalisation
-- collaboration between cybercriminals
We have no boundaries in executing cybercrime
Exploiting technical differences between countries and related legislation
Different States (US-based) differences
Behavioural traits
Appetite to Risk
Being patient and 'work the victim'
High Work Ethic, Passion about what they do
Experimentation
Furious, Angry, 'Self-exploitation' in the community
Scam the Scammers
Adaptive Behaviour
#
Nothing to lose
'Operating from a 'safe
distance
' through anonymity
#
Motivations for committing cybercrime
Political motivations
Hierarchy of needs
Poverty, Need, ++
Lifestyle, pleasure, etc
Broader family influences
Money Laundering
Placing (the illegally earned money)
Layering (
complicate the money trail)
#
Converting crypto-to-fiat
#
Converting fiat-to-crypto
Integration (co-mingling of funds)
Tax evasion, or tax-crimes
Filing taxes for the dead
Organisational Aspects and Management Issues
Countermeasures
Access Control
(not everybody needs to have access so that we can
minimise the risk
)
#
Lack of Responsibility
#
Accountability
Distributed "Decision Maker"
Dark Web
#
Dark web
Marketplaces
can sell stolen digital data
Technology tools
Platforms (Discord)
Applications (Telegram)
Cryptocurrencies
#
Blockchain Analytics/ tracing cryptocurrencies
Coin Dusting
The Onion Router
#
VICTIMS
#
Individuals
"If you wait out a victim long enough, they will go away exasperated"
NOT
Reporting to the Police
#
Follow-up or
second order
consequences
#
Organisations
Cybercriminals
#
#
Random victims
IDENTITY
ANONYMOUS
Masking