A Review of Cyber Security in Banking Industry Threats and Vulnerabilities

Abstract

Data security is becoming a big issue in the
modern world. The most entertaining and
time-saving things in life are cyber services.
However, consumers save their data on cloud
servers, which are managed by cybercrime.
Cybersecurity is crucial in this situation.
Since numerous hackers can target the data
and obtain user information via the server,
this is an open security challenge. It's not
hard to find several examples of cybercrime if
we search around. Phishing and scams,
identity theft, ransomware attacks, improper
use of computer networks, and online fraud
are a few examples. Our cloud-based datasets
security is now a major concern. Data
security, including the detection of potential
intruders anywhere in the world, will be the
focus of our research, thus safeguarding
information from invaders is now a serious
problem. If we don't know who the invader is,
how will we find out who is taking the data
that has been protected by passwords, OTPs,
fingerprints, biometric security, and other
techniques? To prevent this, we can make use
of hybrid techniques, biometric recognition,
data learning, and machine learning. These
will be the handles of the system, and by
employing the greatest optimisation strategies
to extract accurate data, they will aid in
protecting data from hackers.