Lecturer in Cyber Security

Lecturer in Cyber Security

I am a computer science researcher with an interest in cyber security and privacy. My research is particularly focused on Cyber Physical Systems (CPS) security.

Posts by Tags

AGRITRUST

AgriTech

Arduino

Bayesian games

Protecting Privacy in Malware-Infected Edge Intelligence and IoT Systems

2 minute read

Published:

Malware infections in Internet of Things (IoT) systems can lead to both device compromise and the leakage of sensitive information. Protecting privacy in these environments is challenging because defenders often have incomplete information about which devices are infected and how the malware is behaving. Read more

CUSUM

Chi Square detector

Deep Q-Network

Dueling Double DQN

Industry 4.0

Internet of Things

Protecting Privacy in Malware-Infected Edge Intelligence and IoT Systems

2 minute read

Published:

Malware infections in Internet of Things (IoT) systems can lead to both device compromise and the leakage of sensitive information. Protecting privacy in these environments is challenging because defenders often have incomplete information about which devices are infected and how the malware is behaving. Read more

How Game Theory Is Being Used to Protect Privacy in IoT Networks

4 minute read

Published:

Internet of Things (IoT) devices generate, store, and exchange large volumes of potentially sensitive information. This information may relate to personal behaviour, healthcare, transportation, industrial operations, energy consumption, or the activities taking place within homes and workplaces. Read more

IoT malware

IoT privacy

How Game Theory Is Being Used to Protect Privacy in IoT Networks

4 minute read

Published:

Internet of Things (IoT) devices generate, store, and exchange large volumes of potentially sensitive information. This information may relate to personal behaviour, healthcare, transportation, industrial operations, energy consumption, or the activities taking place within homes and workplaces. Read more

IoT security

Kalman filter

LoRaWAN

NoisePrint

PLC authentication

SCADA security

Squirrel Box

UK Parliament

WADI

advanced persistent threats

adversarial machine learning

agricultural technology

anamoly detection

Why can not we just use Machine Learning Algorithms for detecting intrusions in Industrial Systems?

1 minute read

Published:

This blog post is our recent work that explains the challenges we have faced in adopting Machine Learning Algorithms for intrusion detection in Industrial Control Systems (ICS). This study is insightful with a summary of several projects both using examples from design and data-centric techniques. Each study is concluding with a lesson learned and some recommendations are made for future research. Read more

anomaly detection

Guardians of Industrial Control Systems: Which Anomaly Detection Methods Work Best?

2 minute read

Published:

Industrial Control Systems (ICS) operate essential services such as water treatment, energy generation, manufacturing, and transportation. Detecting cyberattacks against these systems is therefore extremely important. However, selecting a suitable anomaly detection method is not straightforward, particularly when the system must detect previously unseen attacks. Read more

artificial intelligence

association rule mining

attack detection

attack generation

blockchain

connected technology

critical infrastructure

cyber physical systems

Guardians of Industrial Control Systems: Which Anomaly Detection Methods Work Best?

2 minute read

Published:

Industrial Control Systems (ICS) operate essential services such as water treatment, energy generation, manufacturing, and transportation. Detecting cyberattacks against these systems is therefore extremely important. However, selecting a suitable anomaly detection method is not straightforward, particularly when the system must detect previously unseen attacks. Read more

Why can not we just use Machine Learning Algorithms for detecting intrusions in Industrial Systems?

1 minute read

Published:

This blog post is our recent work that explains the challenges we have faced in adopting Machine Learning Algorithms for intrusion detection in Industrial Control Systems (ICS). This study is insightful with a summary of several projects both using examples from design and data-centric techniques. Each study is concluding with a lesson learned and some recommendations are made for future research. Read more

cyber security

Test Blog Post

less than 1 minute read

Published:

This is a test blog post. This is unfinished page and will be updated in future with some interesting content related to security and privacy. Read more

cyberattack detection

cybersecurity

Guardians of Industrial Control Systems: Which Anomaly Detection Methods Work Best?

2 minute read

Published:

Industrial Control Systems (ICS) operate essential services such as water treatment, energy generation, manufacturing, and transportation. Detecting cyberattacks against these systems is therefore extremely important. However, selecting a suitable anomaly detection method is not straightforward, particularly when the system must detect previously unseen attacks. Read more

How Game Theory Is Being Used to Protect Privacy in IoT Networks

4 minute read

Published:

Internet of Things (IoT) devices generate, store, and exchange large volumes of potentially sensitive information. This information may relate to personal behaviour, healthcare, transportation, industrial operations, energy consumption, or the activities taking place within homes and workplaces. Read more

cybersecurity policy

data exfiltration

data integrity attacks

data privacy

How Game Theory Is Being Used to Protect Privacy in IoT Networks

4 minute read

Published:

Internet of Things (IoT) devices generate, store, and exchange large volumes of potentially sensitive information. This information may relate to personal behaviour, healthcare, transportation, industrial operations, energy consumption, or the activities taking place within homes and workplaces. Read more

deceptive defence

deep learning

deep reinforcement learning

device fingerprinting

distributed trust

edge intelligence

Protecting Privacy in Malware-Infected Edge Intelligence and IoT Systems

2 minute read

Published:

Malware infections in Internet of Things (IoT) systems can lead to both device compromise and the leakage of sensitive information. Protecting privacy in these environments is challenging because defenders often have incomplete information about which devices are infected and how the malware is behaving. Read more

energy spoofing

environmental monitoring

false data injection

game theory

How Game Theory Is Being Used to Protect Privacy in IoT Networks

4 minute read

Published:

Internet of Things (IoT) devices generate, store, and exchange large volumes of potentially sensitive information. This information may relate to personal behaviour, healthcare, transportation, industrial operations, energy consumption, or the activities taking place within homes and workplaces. Read more

hypergame theory

industrial control systems

Guardians of Industrial Control Systems: Which Anomaly Detection Methods Work Best?

2 minute read

Published:

Industrial Control Systems (ICS) operate essential services such as water treatment, energy generation, manufacturing, and transportation. Detecting cyberattacks against these systems is therefore extremely important. However, selecting a suitable anomaly detection method is not straightforward, particularly when the system must detect previously unseen attacks. Read more

intelligent transportation

How Game Theory Is Being Used to Protect Privacy in IoT Networks

4 minute read

Published:

Internet of Things (IoT) devices generate, store, and exchange large volumes of potentially sensitive information. This information may relate to personal behaviour, healthcare, transportation, industrial operations, energy consumption, or the activities taking place within homes and workplaces. Read more

intrusion detection

large language models

machine learning

Guardians of Industrial Control Systems: Which Anomaly Detection Methods Work Best?

2 minute read

Published:

Industrial Control Systems (ICS) operate essential services such as water treatment, energy generation, manufacturing, and transportation. Detecting cyberattacks against these systems is therefore extremely important. However, selecting a suitable anomaly detection method is not straightforward, particularly when the system must detect previously unseen attacks. Read more

Why can not we just use Machine Learning Algorithms for detecting intrusions in Industrial Systems?

1 minute read

Published:

This blog post is our recent work that explains the challenges we have faced in adopting Machine Learning Algorithms for intrusion detection in Industrial Control Systems (ICS). This study is insightful with a summary of several projects both using examples from design and data-centric techniques. Each study is concluding with a lesson learned and some recommendations are made for future research. Read more

malicious IoT devices

malware

Protecting Privacy in Malware-Infected Edge Intelligence and IoT Systems

2 minute read

Published:

Malware infections in Internet of Things (IoT) systems can lead to both device compromise and the leakage of sensitive information. Protecting privacy in these environments is challenging because defenders often have incomplete information about which devices are infected and how the malware is behaving. Read more

malware defence

malware propagation

media coverage

model based attack detection

network security

physical watermarking

privacy preservation

Protecting Privacy in Malware-Infected Edge Intelligence and IoT Systems

2 minute read

Published:

Malware infections in Internet of Things (IoT) systems can lead to both device compromise and the leakage of sensitive information. Protecting privacy in these environments is challenging because defenders often have incomplete information about which devices are infected and how the malware is behaving. Read more

How Game Theory Is Being Used to Protect Privacy in IoT Networks

4 minute read

Published:

Internet of Things (IoT) devices generate, store, and exchange large volumes of potentially sensitive information. This information may relate to personal behaviour, healthcare, transportation, industrial operations, energy consumption, or the activities taking place within homes and workplaces. Read more

process noise

programmable logic controllers

reinforcement learning

Protecting Privacy in Malware-Infected Edge Intelligence and IoT Systems

2 minute read

Published:

Malware infections in Internet of Things (IoT) systems can lead to both device compromise and the leakage of sensitive information. Protecting privacy in these environments is challenging because defenders often have incomplete information about which devices are infected and how the malware is behaving. Read more

replay attacks

research

Test Blog Post

less than 1 minute read

Published:

This is a test blog post. This is unfinished page and will be updated in future with some interesting content related to security and privacy. Read more

research impact

scan cycle

secure code generation

security testbed

sensor authentication

sensor fingerprinting

sensor security

smart agriculture

smart grids

How Game Theory Is Being Used to Protect Privacy in IoT Networks

4 minute read

Published:

Internet of Things (IoT) devices generate, store, and exchange large volumes of potentially sensitive information. This information may relate to personal behaviour, healthcare, transportation, industrial operations, energy consumption, or the activities taking place within homes and workplaces. Read more

smart homes

smart water networks

software security

soil monitoring

spiking neural networks

stability prediction

state estimation

stealthy cyberattacks

stochastic games

timing fingerprints

trustworthy systems

uncertainty quantification

water distribution

water distribution security

water distribution systems

water treatment security

zero alarm attacks