New types of criminals for new type of crime
Michigan State University
Does the common stereotype for
"organized crime" hold up for organizations of hackers? Research from
Michigan State University is one of the first to identify common attributes of
cybercrime networks, revealing how these groups function and work together to
cause an estimated $445-600 billion of harm globally per year.
"It's not the 'Tony Soprano mob
boss type' who's ordering cybercrime against financial institutions," said
Thomas Holt, MSU professor of criminal justice and co-author of the study.
"Certainly, there are different nation states and groups engaging in cybercrime, but the ones causing the most damage are loose groups of individuals who come together to do one thing, do it really well -- and even for a period of time -- then disappear."
"Certainly, there are different nation states and groups engaging in cybercrime, but the ones causing the most damage are loose groups of individuals who come together to do one thing, do it really well -- and even for a period of time -- then disappear."
In cases like New York City's
"Five Families," organized crime networks have historic validity, and
are documented and traceable. In the online space, however, it's a very
difficult trail to follow, Holt said.
"We found that these cybercriminals work in organizations, but those organizations differ depending on the offense," Holt said. "They may have relationships with each other, but they're not multi-year, multi-generation, sophisticated groups that you associate with other organized crime networks."
Holt explained that organized
cybercrime networks are made up of hackers coming together because of
functional skills that allow them to collaborate to commit the specific crime.
So, if someone has specific expertise in password encryption and another can code in a specific programming language, they work together because they can be more effective -- and cause greater disruption -- together than alone.
So, if someone has specific expertise in password encryption and another can code in a specific programming language, they work together because they can be more effective -- and cause greater disruption -- together than alone.
"Many of these criminals
connected online, at least initially, in order to communicate to find one
another," Holt said. "In some of the bigger cases that we had,
there's a core group of actors who know one another really well, who then
develop an ancillary network of people who they can use for money muling or for
converting the information that they obtained into actual cash."
Holt and lead author E. R.
Leukfeldt, researcher at the Netherlands Institute for the Study of Crime and
Law Enforcement, reviewed 18 cases from the Netherlands in which individuals
were prosecuted for cases related to phishing. Data came directly from police
files and was gathered through wire and IP taps, undercover policing,
observation and house searches.
Beyond accessing credit cards and
banking information, Holt and Leukfeldt found that cybercriminals also worked
together to create fake documents so they could obtain money from banks under
fraudulent identities.
The research, published in International
Journal of Offender Therapy and Comparative Criminology, also debunks
common misconceptions that sophisticated organized criminal networks -- such as
the Russian mafia -- are the ones creating cybercrime.
Looking ahead as law enforcement
around the world takes steps to crack down on these hackers, Holt hopes his
findings will help guide them in the right direction.
"As things move to the dark web
and use cryptocurrencies and other avenues for payment, hacker behaviors change
and become harder to fully identify, it's going to become harder to understand
some of these relational networks," Holt said.
"We hope to see better relationships between law enforcement and academia, better information sharing, and sourcing so we can better understand actor behaviors."
"We hope to see better relationships between law enforcement and academia, better information sharing, and sourcing so we can better understand actor behaviors."