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COMPUTER SCIENCE DISSERTATION

TOPIC IDEAS FOR PHD SCHOLAR

Dr. Nancy Agnes, Head, Technical Operations, Phdassistance info@phdassistance.com

Keywords: Dissertations, computer science, research

topics, research idea, embedded devices, telecom

industry, lightweight virtualization technologies, AI in

Cybersecurity

I. FIND RESEARCH TOPIC

Dissertations are among the most important pieces of

work which students complete at university. And they

allow you to work individually and on something that

truly attracts you. Computer science is a hot field for

researchers. Many topic ideas can be generated for a

dissertation in this special branch of engineering.

Project management, AI, computer networks or

applications, security, information systems, and the

virtualization of computer interfaces are all major fields

of research in the field of computer science. So it is

easy to find topics for dissertation in this field but

students often get overwhelmed by the huge number of

choices they are offered. Let’s explore some of them:

II. CREATING A STRUCTURE TO IMPROVE

THE DURABILITY OF EMBEDDED DEVICES

Embedded devices are vulnerable to external

disruptions such as high-energy particles,

electromagnetic interference, and temperature changes.

These things cause run-time errors in the executing

program. As a consequence, expertise with software-

implemented durability approaches to diagnose these

run-time errors can be obtained.

Project Goal:

The goal of this concept is to transform the findings of

previous studies into a resilience system. That will

allow an organization to set up a consulting business for

resilient embedded software. The idea will not only

reinforce the established resilience methods on

industrial embedded software by using many industrial

use cases. It will also expand the enabling

software to accommodate a broader variety of hardware

and industrial requirements.

III. 5TH GENERATION SECURITY

TELECOMMUNICATIONS SERVICES

The telecom industry is transitioning to virtualized and

structured ecosystems. This facilitates the

implementation of Virtual Network Functions (VNFs)

on cloud networks and network slicing (Liu and Liu,

2021). Modern lightweight virtualization technologies

(Docker) and container orchestration frameworks

(Kubernetes) add to this driver. But they do not satisfy

the strict security standards of communication systems.

Project Objectives:

The objectives of this project idea are:

To form an international and inter-disciplinary

study community. This will consist of Early-Stage-

Researchers (ESRs) and senior Researchers. The

ESRs will gain transferable soft and tech skills, that

will help them advance their careers in the telecom

industry (Ahmed et al.,2021). The innovative

project model will attain intellectual excellence and

leadership-driven study. This will also give rise to

a clear industry- and innovation-oriented mentality,

to develop strategic skills for securing future

mobile networks, with a comprehensive

understanding of legal and business perspectives.

To plan, deploy, and launch a series of key

components for stable lightweight virtualization

and container orchestration technologies for

emerging 5G networks. That will provide a solid,

well-understood, and structured notion of

protection while still complying with legal data

privacy requirements. These key elements would

be a vital asset in the telecom company's success in

5G growth.

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IV. AI IN CYBERSECURITY

Given that AI applications are becoming more capable

and autonomous as they learn through experience, AI in

Cybersecurity (CS) can progress beyond the existing

stagnant phase of data analytics, which is neither

adaptive nor self-learning (Asif et al.,2021). In light of

this, cybersecurity researchers should use existing AI

technologies to progress. Some of the recent research

topics are

Practical AI for Cybersecurity

Role of artificial intelligence in the Internet of

Things (IoT) cybersecurity

AI reflections in 2020

V. USE OF ML/DL IN CYBER SECURITY

They should use their experience of ML and DL in

security analytics use cases to examine the functional

constraints and precision versus computational

complexity trade-offs of ML for CS adoption (Sarker,

2021). It will strengthen ML's effectiveness in hostile

environments for parallel defense use cases.

Project benefit:

This project's expertise will be extended in industrial

use cases in the CS realms of data governance, network

management, and firmware safety. Such research would

greatly advance AI for CS. It will result in innovative

security technologies that are much superior to the

recent advancements. Some of the research topics are

Cyber Attack Detection Using Spatio Temporal

Patterns

Cyber Security with AI—Part I

Performance evaluation of Convolutional Neural

Network for web security

VI. ANONYMITY AND CONFIDENTIALITY

IN AN IOT ENVIRONMENT

This idea seeks suitable solutions for implementing

advanced access control in an IoT space. The new

methods would allow for greater flexibility, resilience,

and protection for IoT devices. This will do so by using

IoT systems to evaluate the user's scope righteously and

Copyright © 2021 Phdassistance. All rights reserved 3

then modifying the appropriate authentication protocol

and the current authorization rules based on this

scenario (Shahidinejad et al., 2021). Furthermore, some

of the implementations can be used to cover a subset of

the IoT devices operated by the customer. Some of the

recent research topics are

Lightweight and Anonymity-Preserving User

Authentication Scheme for IoT-based Healthcare

An anonymity communication protocol for security

and privacy of clients in IoT-based mobile health

transactions

VII. WIRELESS, UBIQUITOUS, AND

DEPENDABLE IOT DEVICE CONTROL

Condition-based monitoring (CBM) in industrial

environments integrates sensors and data processing to

track machines and operations. This enhances product

efficiency and minimizes downtime (Nacchia et

al.,2021). Working without cables shortens sensor

startup times. It also lowers installation costs, and

allows measurements deep within a system. However,

cutting network and power cables lead to major

computing and energy management problems.

Purpose of the project:

This study would establish a revolutionary CBM

approach that will reduce sensor cables while retaining

data quality and reliability (Valeti. and Pakzad, 2021).

By continuous, auto-monitoring of system energy

usage, this approach will ensure a multi-decade

operational life. It lowers bandwidth requirements on

sluggish, restricted wireless IoT networks by using data

processing specific to the application on the sensor

itself.

The resulting hardware/software prototype will have an

extended developer-specified lifespan. This can

withstand harsh operating conditions, and can be

remotely reconfigured.

VIII. CONCLUSION

The study of computers and technical processes is often

referred to as computer science. It also points to the

philosophies and practices that have been implemented

to strengthen information technology (IT). So vast is

this world of computer science that there is no shortage

of dissertation topic ideas. I hope this blog has given

you some ideas about what subject you can pick for

your dissertation.

REFERENCE

1. Liu, M. and Liu, F., 2021. Research on Optimized

Deployment of Virtual Network Functions in

Network Function Virtualization Environment.

In Journal of Physics: Conference Series (Vol.

1748, No. 3, p. 032020). IOP Publishing.

2. Ahmed, S.Z., Hjorth, A., Rafner, J.F., Weidner,

C.A., Kragh, G., Jensen, J.H.M., Bobroff, J.,

Nielsen, K.H. and Sherson, J.F., 2021. A training

programme for early-stage researchers that focuses

on developing personal science outreach

portfolios. arXiv preprint arXiv:2103.03109.

3. Asif, R., Ghanem, K. and Irvine, J., 2021. Proof-of-

PUF enabled Blockchain: concurrent data and

device security for Internet-of-

Energy. Sensors, 21(1), p.28.

4. Sarker, I.H., 2021. Deep Cybersecurity: A

Comprehensive Overview from Neural Network

and Deep Learning Perspective.

5. Shahidinejad, A., Ghobaei-Arani, M., Souri, A.,

Shojafar, M. and Kumari, S., 2021. Light-Edge: A

Lightweight Authentication Protocol for IoT

Devices in an Edge-Cloud Environment. IEEE

Consumer Electronics Magazine.

6. Nacchia, M., Fruggiero, F., Lambiase, A. and

Bruton, K., 2021. A Systematic Mapping of the

Advancing Use of Machine Learning Techniques

for Predictive Maintenance in the Manufacturing

Sector. Applied Sciences, 11(6), p.2546.

7. Valeti, B. and Pakzad, S.N., 2021. Hybrid data+

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8. Muthirayan, D. and Khargonekar, P., 2021.

Cognitive Preadaptation for Resilient Adaptive

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9. Das, R. (2021). Practical AI for Cybersecurity.

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artificial intelligence in the Internet of Things (IoT)

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Braren, R., Stoyanovich, J., ... & Luengo-Oroz, M.

(2021). AI reflections in 2020. Nature Machine

Intelligence, 3(1), 2-8.

12. Anandamurugan, S., Dharani, M., Jaiaswath, R. G.,

& Jeeva, S. (2021). Cyber Attack Detection Using

Spatio Temporal Patterns. Annals of the Romanian

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Security with AI—Part I. In The" Essence" of

Network Security: An End-to-End Panorama (pp.

147-171). Springer, Singapore.

Copyright © 2021 Phdassistance. All rights reserved 4

14. Jemal, I., Haddar, M. A., Cheikhrouhou, O., &

Mahfoudhi, A. (2021). Performance evaluation of

Convolutional Neural Network for web

security. Computer Communications.

15. Masud, M., Gaba, G. S., Choudhary, K., Hossain,

M. S., Alhamid, M. F., & Muhammad, G. (2021).

Lightweight and Anonymity-Preserving User

Authentication Scheme for IoT-based Healthcare.

IEEE Internet of Things Journal.

16. Attarian, R., & Hashemi, S. (2021). An anonymity

communication protocol for security and privacy of

clients in IoT-based mobile health transactions.

Computer Networks, 190, 107976.