Computer Science Dissertation Topic Ideas For Phd Scholar - Phdassistance
                     An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, 
Phdassistance  Group www.phdassistance.com
Email: [email protected]
TODAY'S 
DISCUSSION
Outline
Find research topic
Creating a structure to improve the durability of embedded 
devices  5th generation security telecommunications 
services
AI in Cybersecurity
Use of ML/DL in Cyber security
Anonymity and confidentiality in an IoT 
environment  Wireless, ubiquitous, and 
dependable IoT device control  Conclusion
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.
Contd...
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:
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.
Contd...
PROJECT GOAL
The goal of this concept is to transform the findings of previous studies into 
a resilience  system.
That will allowan organization to setup a consulting business
for resilient embedded  software.
The idea will not only reinforce the establishedresilience methodson
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.
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
Contd...
But they do not satisfy the strict security standards of communication 
systems.
PROJECT OBJECTIVES
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).
Contd...

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.
Contd...
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.
AI IN  
CYGBivEenRtShEatCAUI aRppITlicYations are
mbeocroemcianpgable and as
autonomous  learn through they
Cyberseexcpuerritiye nce(C, S) can prAoIgress 
beyond  the existing stagnant phinase 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.
Contd...
Some of the recent research 
topics are
Practical AI for Cybersecurity
Role of artificial intelligencein
the  Internet of things 
(IoT) cybersecurity
AI reflections in 2020
USE OF M L/DL IN  CYBER 
SETChUeyR shITouYld 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.
Contd...
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.
Contd...
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
ANONYM ITY AND  
CONFIDENTIALITY IN  
AN  IOT 
ENTVhisI RidOeaN seMeksE sNuitTable solutions for  
implementing advanced access 
control in  an IoT space.
The new methods would allow for 
greater  flexibility, resilience, and 
protection for IoT  devices.
Contd...
This will do so by using IoT systems to 
evaluate  the user's scope righteously and 
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.
Contd...
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
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.
Contd...
PURPOSE OF THE PROJECT
This studywouldestablish 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 lowersbandwidth requirements on sluggish,
restricted wireless IoTnetworksby  using data processing 
specific to the application on the sensor itself
Contd...
The resulting 
hardware/software  prototype 
will have an extended  
developer-specified lifespan.
This can withstand harsh 
operating  conditions, and can 
be remotely  reconfigured.
CONCLUSI
ONThe study of comp
uters 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.
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