Dr. Nancy Agnes presented on various dissertation topics in computer science, emphasizing the importance of selecting a research focus that excites students. Key themes included enhancing the durability of embedded devices, the transition to 5th generation security in telecommunications, and advancements in AI and machine learning in cybersecurity. The presentation highlighted the need for innovative approaches to address the challenges in these areas while offering practical benefits for future developments.

1. An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Phdassistance
Group www.phdassistance.com
Email: info@phdassistance.com

2. 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
TODAY'S DISCUSSION

3. 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...

4. 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:

5. CREATING A STRUCTURE
TO IMPROVE THE
DURABILITY OF
EMBEDDED DEVICES

6. 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...

7. 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.
PROJECT GOAL

8. 5TH GENERATION SECURITY
TELECOMMUNICATIONSSERVICES
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...

9. 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...

11. 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...

12. 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.

13. Given that AI applications are becoming
more capable and autonomous
learn through experience,
as they
AI in
AI IN CYBERSECURITY
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.
Contd...

14. 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

15. USE OF M L/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.
Contd...

16. 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...

17. 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

18. ANONYM ITY AND
CONFIDENTIALITY IN
AN IOT ENVIRONM ENT
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.
Contd...

19. 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...

20. 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

21. WIRELESS, UBIQUITOUS, AND
DEPENDABLE IOT DEVICE CONTROL

22. 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...

23. 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
Contd...

24. The resulting hardware/software
prototype will have an extended
developer-specified lifespan.
This can withstand harsh operating
conditions, and can be remotely
reconfigured.

25. 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.
CONCLUSION

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