Staying one step ahead
Jurisdiction: Northern Territory
How might we use open data to provide insights, identify online intervention points and/or possible digital solutions that could prevent people from falling for any type of online scam, whether that be at home or at work?
A string of recent high profile cyber security incidents has highlighted the need to stay ahead of cyber security threats.
One thing that remains constant even with technology evolving is the use of ‘Social engineering’. It’s a term that means tricking individuals into behaviours such as giving out sensitive or confidential information, sharing their password or PIN, approving scam invoices or payments, or allowing someone into a private building.
Most people don’t think they will be fall for a scam but cyberattacks using social engineering are becoming increasingly sophisticated with hackers targeting both people at an individual level as well as in a work setting.
We want you to use data to provide insights, identify online intervention points and/or possible digital solutions that could prevent people from falling for any type of online scam, whether that be at home or at work.
For example, you may wish to consider:
- The types of people or roles that are susceptible to being scammed
- How are scammers incentivising people to take an action?
- Can you see patterns in what makes a person susceptible?
- What behaviour can scammers exploit?
- When are people most susceptible to being scammed? What are they doing?
- What are the vulnerabilities of scammers? How could this be exploited to prevent scams?
Image credit: Charles Darwin University.
Entry: Challenge entry is available to all teams in Australia.