Abstract:
Now a days, Information Communication
Technology (ICT) plays an important role in the world. In IT,
Cyber Security holds a vast place. Cyber Threat Intelligence
(CTI) leads the significant place within Cyber Security, as many
Cyber Threats need to be faced every day by a particular
organization. Security Operation Center (SOC) helps to
monitor and analyze an organization’s security position in Real
Time. This paper proposes about the Cyber Threat Intelligence
framework in a SOC Environment in Real Time. The proposed
framework contains of three layers, which are built above
Security Onion. The Layer 1 comprises of input data from
online and offline sources. In Layer 2, implemented two
components namely Filter data and Cut down data, which
receive the data from Layer 1. Finally, in Layer 3 delivers a
detailed report. As the input for the Layer 1, Financial Datasets
is used. These Financial Datasets, which helps in order to detect
the Financial Frauds. Machine Learning is used to train the
model. By implementing CTI System in an organization, it helps
to gain predictive output regarding the upcoming threats. Also,
it helps to ensure the reputation of an organization by
establishing trust between the users. Helps to increase the
number of customers to an organization. The above are the
advantages gained by a particular organization by having a CTI
System.