Identity theft refers to the illegal act of using someone else's personal
information for fraudulent transactions. Perpetrators employ various techniques,
ranging from sifting through discarded materials like credit cards and bank statements
to more sophisticated methods like hacking into organizational databases to access
consumer data. While identity thieves continuously develop new tactics, individuals
can significantly mitigate the risk by exercising vigilance on social media platforms
and practicing caution when dealing with unfamiliar emails. Identity theft remains a
persistent and escalating issue, impacting a growing number of individuals and
inflicting direct and indirect harm on victims. In this chapter, we are going to highlight
some common types of identity theft and the role of artificial intelligence in this
manipulation. Also, we will review various research papers to find solution for
problems related to identity theft, such as fake profile identification using ML-based
algorithms. Furthermore, the chapter will also discuss the future possibilities in this
field.
Keywords: Artificial intelligence, Cyberattacks, Deepfakes, Identity manipulation, Machine learning.
