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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]

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As digital gadgets ruling the globe, a massive amount of data generating per second is unimaginable. Manipulating and handling the data by data Specialists And Data Scientist is the huge process. Processing the data and concluding the required results is vital. [1] But providing data security in the vulnerable world becomes a tedious one. Ph.D. Assistance serves as an external mentor to brainstorm your idea and translate that into a research model. Hiring a mentor or tutor is common and therefore let your research committee know about the same. We do not offer any writing services without the involvement of the researcher. Learn More: https://bit.ly/3xmLJSJ Contact Us: Website: https://www.phdassistance.com/ UK NO: +44–1143520021 India No: +91–4448137070 WhatsApp No: +91 91769 66446 Email: [email protected]

TRANSCRIPT

Scope And

Significance Of Data Science In Cybersecurity

An Academic presentation by

Dr. Nancy Agnes, Head, Technical Operations, Phdassistance Groupwww.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.

Processingthedataandconcludingtherequired results is vital.

Contd...

Butprovidingdatasecurityinthevulnerableworld becomes a tedious one.

As we are vulnerable in the digital era, protecting us from the vulnerabilities is cannot manageable.

Thisblogwillenhancethescopeandneedfor Cybersecurity in the Statistical And Analytical Area.

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...

DATA SCIENCE

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...

TheInternetistheplatformandopen-sourceswhereenormouspeople will log in and log out every second.

Internetisintermediatetotransformandpenetratemaliciousattacks 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 SCIENCE

IN CYBERSECURITY

Generally, Attackers and Hackers 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.

Toenhancemoresecurityfingerprints,biometricsensorscouldbe 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

Thistechniqueincorporatesunderstandingtheintentionoftheattackerto 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.

Thedatascientistwillanalyzethesecuritylevelphasestopredictthe possibilities of security breaches in each phase.

Contd...

ASSOCIATE RULE LEARNING

It’saM achineLearning Techniqueusedbyadatascientisttoforecastcyber attacks.

The actual responsibility of ARL is to figure out the possibilities of vulnerabilities once the website, software, application launched to the market.

TheARLwillfigureoutthethirdpartymalwareandmaliciousbugswhich intrudes into the websites or software.

Thedataanalystorthedataengineerwillpredictthevulnerabilitiesbasedon 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.

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.

SUMMARY

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