Haider M. al-Khateeb

About Haider M. al-Khateeb

Haider M. al-Khateeb, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Wolverhampton, specializes in the field of Responsible AI, Incident Response, Cyber Resilience, Threat Intelligence, Privacy & Online Rights.

His recent articles reflect a diverse array of research interests and contributions to the field:

TRACE Reasoning Mechanism Approach to Illicit Money Flows Detection

2023 Index IEEE Transactions on Engineering Management Vol. 70

Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks

Does Artificial Intelligence Help Reduce Audit Risks?

Self-healing in cyber–physical systems using machine learning: A critical analysis of theories and tools

Feature-driven Anomalous Behaviour Detection and Incident Classification Model for ICS in Water Treatment Plants

A critical review of digital twin confidentiality in a smart city

Reducing false negatives in ransomware detection: a critical evaluation of machine learning algorithms

Haider M. al-Khateeb Information

University

Position

Reader in Cybersecurity

Citations(all)

1057

Citations(since 2020)

958

Cited By

373

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

28

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Haider M. al-Khateeb Skills & Research Interests

Responsible AI

Incident Response

Cyber Resilience

Threat Intelligence

Privacy & Online Rights

Top articles of Haider M. al-Khateeb

TRACE Reasoning Mechanism Approach to Illicit Money Flows Detection

2024/2/7

2023 Index IEEE Transactions on Engineering Management Vol. 70

IEEE Transactions on Engineering Management

2023/12

Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks

Algorithms

2023/11/29

Does Artificial Intelligence Help Reduce Audit Risks?

2023/9/21

Self-healing in cyber–physical systems using machine learning: A critical analysis of theories and tools

2023/7/17

Feature-driven Anomalous Behaviour Detection and Incident Classification Model for ICS in Water Treatment Plants

International Journal of Electronic Security and Digital Forensics

2023/6/22

A critical review of digital twin confidentiality in a smart city

2023/1/3

Reducing false negatives in ransomware detection: a critical evaluation of machine learning algorithms

2022/12/16

Pivot attack classification for cyber threat intelligence

Journal of Information Security and Cybercrimes Research

2022/10/3

Blockchain technologies in the design of Industrial Control Systems for Smart Cities

arXiv preprint arXiv:2209.12041

2022/9/24

Privacy-enhancing technologies in the design of digital twins for smart cities

Network Security

2022/7

APIVADS: a novel privacy-preserving pivot attack detection scheme based on statistical pattern recognition

IEEE transactions on information forensics and security

2022/1/25

Super learner ensemble for anomaly detection and cyber-risk quantification in industrial control systems

IEEE Internet of Things Journal

2022/1/18

Towards an IoT community-cluster model for burglar intrusion detection and real-time reporting in smart homes

2021/11/27

A flow-based multi-agent data exfiltration detection architecture for ultra-low latency networks

ACM Transactions on Internet Technology

2020/12/31

Cyber-disability hate cases in the UK: the documentation by the police and potential barriers to reporting

2021/5/21

Optimising driver profiling through behaviour modelling of in-car sensor and global positioning system data

Computers and Electrical Engineering

2020/12/31

Distributed ledger technologies in supply chain security management: A comprehensive survey

2021/3/1

Challenges in the IoT and Smart Environments

2021

Digital citizens in a smart city: The impact and security challenges of IoT on citizen’s data privacy

Challenges in the IoT and Smart Environments: A Practitioners' Guide to Security, Ethics and Criminal Threats

2021

See List of Professors in Haider M. al-Khateeb University(University of Wolverhampton)

Co-Authors

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