Copyright © 2021 TutorsIndia. All rights reserved 1

Recent Technologies in Cybersecurity

Dr. Nancy Agnes, Head, Technical Operations, Tutorsindia info@ tutorsindia.com

I. INTRODUCTION

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. 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 arena. [1]

II. RECENT TECHNOLOGIES IN

CYBERSECURITY

As the threats and risks in the cyber world is rapidly

increasing, to assess those threats and risks through

certain new technologies. Those technologies can be

accessed by Whitehat cybersecurity specialists who

provide security for the users and data.

1. GDPR SPREAD AROUND THE WORLD:

Personal information must be a high priority for

online companies. With the increasing number of data

leaks, ignoring data privacy issues is becoming more

difficult. [2]

Individuals must be aware of how businesses can

use their personal information.

Data encryption that is both strong and reliable is

a must.

They should be able to opt-out of sharing their

personal information.

Companies must notify their customers of data

breaches within a certain amount of time when

they occur.

2. DATA BREACHES AND PHISHING:

One of the most important developments in

Cybersecurity is the prevention of phishing attacks.

It's been on the radar of cybersecurity trends for quite

some time and isn't going anywhere anytime soon.

Victims are often being duped into turning over

sensitive information, various types of passwords

(such as a login), and sending money directly to

cybercriminals.

\

Copyright © 2021 TutorsIndia. All rights reserved 2

SMS, chats on social media sites like Facebook or

LinkedIn, and phone calls involving a real human

are among the other exponentially increasing

phishing platforms. [3]

3. CYBERSECURITY SKILLS IS HUGE:

The market for cybersecurity experts would

outnumber availability by a factor of ten. Another

reason to be concerned about this cybersecurity

development is the growing amount of threats that

security teams must deal with on a daily basis. [4]

Using automatic security systems is one way to get

out of this situation.

Such well-known data protection techniques are as

follows:

Bricata

BluVector

Cloud Defender

Cofense Triage

[Looking for the latest Computer Science Research

Topic ideas Mail us at info@tutorsindia.com]

4. ISSUES IN CLOUD SECURITY:

Every bit of records and nearly all business

processes and technology have been migrated to

the cloud. If the number of cloud-related threats

grows, cloud defence becomes another ambitious

development in the cybersecurity industry. [5]

Data breaches pose a threat to SMBs and

businesses alike, due to improperly encrypted data

and unauthorised services that end-users can

quickly instal.

III. FUTURE SCOPE

1. Hardware authentication: Hardware

authentication is the way of the future when it

comes to cryptography. This user authentication

method is based on a computer, such as a

smartphone, laptop, or some other hardware

machine owned by an authenticated user. This

method may be in the form of a simple password or

fingerprints to access the computer. [6]

2. Artificial Intelligence and Machine Learning:

AI is described as a technology that attempts to

mimic human performance by learning,

concluding, interpreting complex information,

conversing naturally with people, improving human

cognitive performance, and, most importantly,

replacing humans in the execution of non-routine

tasks.

3. Adaptive Neural Networks:

Automated networks have the potential to

transform the world of Cybersecurity. Scanning

and tracking of linked networks can be automated,

and deviations and disturbances can be reported

real-time. Network, endpoint, firewalls, payload,

and anti-virus protection system layers are

automatically modified, as well as diagnostic and

forensics review for Cybersecurity. AI and machine

learning maybe some of the most important

elements.

REFERENCES

1. Obaidat, Mohammad S., Issa Traore, and Isaac

Woungang, eds. Biometric-based physical and

Cybersecurity systems. Cham: Springer

International Publishing, 2019.

2. Lu, Yang, and Li Da Xu. "Internet of Things

(IoT) cybersecurity research: A review of current

research topics." IEEE Internet of Things

Journal 6.2 (2018): 2103-2115.

3. Asghar, Muhammad Rizwan, Qinwen Hu, and

Sherali Zeadally. "Cybersecurity in industrial

control systems: Issues, technologies, and

challenges." Computer Networks 165 (2019):

106946.

4. Geluvaraj, B., P. M. Satwik, and TA Ashok

Kumar. "The future of cybersecurity: Major role of

artificial intelligence, machine learning, and deep

learning in cyberspace." International Conference

on Computer Networks and Communication

Technologies. Springer, Singapore, 2019.

5. West, Jason. "A prediction model framework for

cyber-attacks to precision agriculture

technologies." Journal of Agricultural & Food

Information 19.4 (2018): 307-330.

6. Toch, Eran, et al. "The privacy implications of

cyber security systems: A technological

survey." ACM Computing Surveys (CSUR) 51.2

(2018): 1-27.