Naeem Firdous Syed

About Naeem Firdous Syed

Naeem Firdous Syed, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Edith Cowan University, specializes in the field of Cyber Security, AI, IoT.

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

Securing Industrial Control Systems (ICS) Through Attack Modelling and Rule-Based Learning

Intrusion Detection for Time-Series IoT Data with Recurrent Neural Networks and Feature Selection

DoS Attacks, Human Factors, and Evidence Extraction for the Industrial Internet of Things (IIoT) Paradigm

Fog-cloud based intrusion detection system using Recurrent Neural Networks and feature selection for IoT networks

Securing the smart city airspace: Drone cyber attack detection through machine learning

Unsupervised machine learning for drone forensics through flight path analysis

Zero trust architecture (zta): A comprehensive survey

Traceability in supply chains: A Cyber security analysis

Naeem Firdous Syed Information

University

Position

Post-Doctoral Research Fellow -

Citations(all)

1065

Citations(since 2020)

1022

Cited By

260

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Naeem Firdous Syed Skills & Research Interests

Cyber Security

AI

IoT

Top articles of Naeem Firdous Syed

Securing Industrial Control Systems (ICS) Through Attack Modelling and Rule-Based Learning

2024/2/16

Intrusion Detection for Time-Series IoT Data with Recurrent Neural Networks and Feature Selection

Authorea Preprints

2023/10/30

Naeem Firdous Syed
Naeem Firdous Syed

H-Index: 5

Zubair Baig
Zubair Baig

H-Index: 22

DoS Attacks, Human Factors, and Evidence Extraction for the Industrial Internet of Things (IIoT) Paradigm

2023/9/11

Fog-cloud based intrusion detection system using Recurrent Neural Networks and feature selection for IoT networks

Computer Networks

2023/4/1

Securing the smart city airspace: Drone cyber attack detection through machine learning

Future Internet

2022/6/30

Unsupervised machine learning for drone forensics through flight path analysis

2022/6/6

Zero trust architecture (zta): A comprehensive survey

2022/5/12

Traceability in supply chains: A Cyber security analysis

2022/1/1

Naeem Firdous Syed
Naeem Firdous Syed

H-Index: 5

Securing contemporary eHealth architectures: Techniques and methods

Security and Privacy in the Internet of Things: Architectures, Techniques, and Applications

2021/12/21

LCDA: Lightweight continuous device-to-device authentication for a zero trust architecture (ZTA)

Computers & Security

2021/9/1

Towards a deep learning-driven intrusion detection approach for Internet of Things

Computer Networks

2021/2/26

Towards a lightweight continuous authentication protocol for device-to-device communication

2020/12/29

Denial of service attack detection through machine learning for the IoT

Journal of Information and Telecommunication

2020

IoT-MQTT based denial of service attack modelling and detection

2020

Naeem Firdous Syed
Naeem Firdous Syed

H-Index: 5

Averaged dependence estimators for DoS attack detection in IoT networks

Future Generation Computer Systems

2020/1/1

See List of Professors in Naeem Firdous Syed University(Edith Cowan University)