Scope And Significance Of Data Science In CyberSecurity - Phdassistance
                     Scope And
Significance Of 
Data  Science In  
Cybersecurity
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, 
Phdassistance  Group www.phdassistance.com
Email: [email protected]
OUTLINE
Introduction  
Data science  
Cybersecurity
Need for data science in cybersecurity 
 Analytical skills for cybersecurity  
Future scope
Summary
INTRODUCTION
As digital gadgets ruling the globe, a massive  
amount of data generating per second is  
unimaginable.
Manipulating and handling the data by data  S 
pecialists And Data Scientist is the huge process.
Processing the data and concluding the
required  results is vital.
Contd..
.
But providing data security in the vulnerable
world  becomes a tedious one.
As we are vulnerable in the digital era, protecting us  
from the vulnerabilities is cannot manageable.
This blog will enhance the scope and need
for  Cybersecurity in the Statistical And Analytical 
Area.
DATA SCIENCE
The originality of data science is to handle the  
present and past data for future processes.
Especially in business sectors, data science  
is used to predict customer insights, market  
strategies, stock details in retail shops,  
forecasting the organization growth.
Contd...
The role of a data analyst and data scientist is to analyze the  
problem statement and analyze the structured or  
unstructured data from the client, cleanse the dataset and  
proceed further for the requirement.
D ata science in Cybersecurity slightly deviates from other  
business ventures.
Specialized techniques are there to sort out and figure out  
the issues in cybercrime.
CYBERSECURITY
Cyber is nothing like the copycat world of  
Digital.
In the digital era, no one can assure 100%  
safety and security.
The primality of Cybersecurity is to prevent  
malicious attacks by attackers and hackers  
from naïve users.
Contd...
The Internet is the platform and open-sources where enormous
people  will log in and log out every second.
Internet is intermediate to transform and penetrate malicious
attacks  through gadgets and data available in the gadget.
The evolution of cloud computing is another reason to protect the data from  
device and disk crashes, system failures.
NEED FOR DATA 
ISNC IENCE
CYGeBnerEallRy, ASttaEckeCrs UandR HaIcTkeYrs have many intrusion 
 and invasion techniques to enter into the user’s 
system  or fetch the data.
Those styles can be estimated and forecasted by Data  
scientists to prevent those kinds of attacks in the future.
Contd...
For instance, to provide security for confidential data in the organization, a  
log in username and password is mandatory.
To enhance more security fingerprints, biometric sensors could
be  implemented.
Data scientists will analyze the attacks that have been done in the past and  
conclude the results relevant to the present and future-based outcomes.
ANALYTICAL
SKILLS FOR
CYBERSECURITY
 BEHAVIOURAL ANALYTICS
This technique incorporates understanding the intention of the
attacker to  prevent those kind of attacks.
The Whitehat people provide data security for the users to analyze what kind  
of attack held in the past in a specified scenario.
The data analyst will assist and analyze the purpose of the attack to predict  
similar attacks in the future.
Contd...
 DATA PROTECTION
Here, Data Science Specialists & cybersecurity specialists have to work  
together to conclude and forecast the protection level.
It is the initial level phase, where the cyber specialist identifies how to  
incorporate the security levels for the system,device, websites, web  
applications and financial services.
The data scientist will analyze the security level phases to predict
the  possibilities of security breaches in each phase.
Contd..
.
 ASSOCIATE RULE LEARNING
It’s a M achineLearning  Techniqueused by a data
scientist toforecast cyber  attacks.
The actual responsibility of ARL is to figure out the possibilities of vulnerabilities  
once the website, software, application launched to the market.
The ARL will figure out the third party malware and malicious bugs
which  intrudes into the websites or software.
The data analyst or the data engineer will predict the vulnerabilities
based on  the threats and risks on the website.


FUTURE SCOPE
As the need for automation increases rapidly, 
 the data beyond the process will increase.
To provide protection and security for those 
 data large number of cyber specialists 
are  required in the future.
Contd...
Usage of legitimate applications, websites 
 and software will be monitored by cyber  
specialist all the time to verify and track the  
details of logs.
Recent technologies such as Artificial
I ntelligence, Machine Learning and Cloud 
 computing enhancing cybersecurity  
techniques to provide proper protection for 
 confidential data.
SUMMARY
In upcoming decades, Data science 
and  Cybersecurity plays a vital role in 
all  domains in the world.
The need for both technologies will be  
there wherever the Internet is available.
As the need for Cybersecurity and data 
 science is high, the scope for both  
technologies will be in peak.
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