Skip to main content
. 2021 Apr 9;7:e475. doi: 10.7717/peerj-cs.475

Table 2. The attributes used for feature selection.

Crime
  • Misuse of Debit Cards or Credit Cards

  • Through Informatics Theft

  • Hacking into the Information System and Capturing Data

Gender M – F
Age 27 and under/Between 28 and 37/Between 38 and 50/51 and above
Income Low – Middle – High
Job Other – Student – Retired – Justice and Security – Health Sector Manager – Housewife – Education – Technical – Finance Sector
Marital status Single – Married
Education Primary Education – High School – Undergraduate – Graduate
Harm
  • Internet Shopping by Introducing Himself as a Bank Clerk

  • Internet Shopping out of Knowledge

  • Withdrawals without Knowledge

  • Withdrawing Money by Introducing Himself as a Bank Clerk

  • Fraud

  • Do Moral Harm

  • Threating/Blackmailing

Attack
  • Obtaining Electronic Bank Accounts

  • Copying Bank/ATM Cards

  • Hacking Social Media Accounts

  • Obtaining and Using Data in Digital Environment

  • Selling Counterfeit Products

Attack method
  • Social Engineering

  • Hacking Tools or Malware

  • Card Copying/Generating Devices

  • Phishing Attack

  • Receiving Public Data on Social Media

  • Creating a Fake Shopping Site

Perpetrator Known – Unknown