Abdun Mahmood

Abdun Mahmood

La Trobe University

H-index: 34

Oceania-Australia

About Abdun Mahmood

Abdun Mahmood, With an exceptional h-index of 34 and a recent h-index of 26 (since 2020), a distinguished researcher at La Trobe University, specializes in the field of Cyber security, Data Mining, Clustering, Smart Grid Security, Network Security.

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

A Survey of Recent Advances in Deep Learning Models for Detecting Malware in Desktop and Mobile Platforms

SCADA vulnerabilities and attacks: A review of the state‐of‐the‐art and open issues

FedDiSC: A computation-efficient federated learning framework for power systems disturbance and cyber attack discrimination

Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach

API-MalDetect: Automated malware detection framework for windows based on API calls and deep learning techniques

A secure federated learning framework for residential short term load forecasting

Fedisa: A semi-asynchronous federated learning framework for power system fault and cyberattack discrimination

A systematic literature review on windows malware detection: Techniques, research issues, and future directions

Abdun Mahmood Information

University

Position

Associate Professor of Computer Science and IT

Citations(all)

5104

Citations(since 2020)

3838

Cited By

2456

hIndex(all)

34

hIndex(since 2020)

26

i10Index(all)

63

i10Index(since 2020)

51

Email

University Profile Page

La Trobe University

Google Scholar

View Google Scholar Profile

Abdun Mahmood Skills & Research Interests

Cyber security

Data Mining

Clustering

Smart Grid Security

Network Security

Top articles of Abdun Mahmood

Title

Journal

Author(s)

Publication Date

A Survey of Recent Advances in Deep Learning Models for Detecting Malware in Desktop and Mobile Platforms

Pascal Maniriho

Abdun Naser Mahmood

Mohammad Jabed Morshed Chowdhury

2024/1/22

SCADA vulnerabilities and attacks: A review of the state‐of‐the‐art and open issues

Manar Alanazi

Abdun Mahmood

Mohammad Jabed Morshed Chowdhury

2023/2/1

FedDiSC: A computation-efficient federated learning framework for power systems disturbance and cyber attack discrimination

arXiv preprint arXiv:2304.03640

Muhammad Akbar Husnoo

Adnan Anwar

Haftu Tasew Reda

Nasser Hosseinzadeh

Shama Naz Islam

...

2023/4/7

Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach

IEEE Transactions on Emerging Topics in Computational Intelligence

Quynh Ngo

Tran Khoa Phan

Abdun Mahmood

Wei Xiang

2024/3

API-MalDetect: Automated malware detection framework for windows based on API calls and deep learning techniques

Journal of Network and Computer Applications

Pascal Maniriho

Abdun Naser Mahmood

Mohammad Jabed Morshed Chowdhury

2023/9/1

A secure federated learning framework for residential short term load forecasting

arXiv preprint arXiv:2209.14547

Muhammad Akbar Husnoo

Adnan Anwar

Nasser Hosseinzadeh

Shama Naz Islam

Abdun Naser Mahmood

...

2022/9/29

Fedisa: A semi-asynchronous federated learning framework for power system fault and cyberattack discrimination

Muhammad Akbar Husnoo

Adnan Anwar

Haftu Tasew Reda

Nasser Hosseinzadeh

Shama Naz Islam

...

2023/5/20

A systematic literature review on windows malware detection: Techniques, research issues, and future directions

Pascal Maniriho

Abdun Naser Mahmood

Mohammad Jabed Morshed Chowdhury

2023/12/16

False data injection threats in active distribution systems: A comprehensive survey

Muhammad Akbar Husnoo

Adnan Anwar

Nasser Hosseinzadeh

Shama Naz Islam

Abdun Naser Mahmood

...

2021/11/28

Physical layer security in IRS-assisted cache-enabled hybrid satellite-terrestrial networks

IEEE Transactions on Green Communications and Networking

Quynh T Ngo

Khoa T Phan

Abdun Mahmood

Wei Xiang

2023/5/25

A study on malicious software behaviour analysis and detection techniques: Taxonomy, current trends and challenges

Pascal Maniriho

Abdun Naser Mahmood

Mohammad Jabed Morshed Chowdhury

2022/5/1

MalDetConv: Automated Behaviour-based Malware Detection Framework Based on Natural Language Processing and Deep Learning Techniques

arXiv preprint arXiv:2209.03547

Pascal Maniriho

Abdun Naser Mahmood

Mohammad Jabed Morshed Chowdhury

2022/9/8

USMD: Unsupervised misbehaviour detection for multi-sensor data

IEEE Transactions on Dependable and Secure Computing

Abdullah Alsaedi

Zahir Tari

Redowan Mahmud

Nour Moustafa

Abdun Mahmood

...

2022/1/18

Hybrid IRS-Assisted Secure Satellite-Terrestrial Communications: A Fast Deep Reinforcement Learning Approach

Quynh Ngo

Tran Khoa Phan

Abdun Mahmood

Wei Xiang

2022/8/16

Evaluation and survey of state of the art malware detection and classification techniques: Analysis and recommendation

Available at SSRN 4197678

Pascal Maniriho

Abdun Mahmood

Mohammad Jabed Morshed Chowdhury

2022

Comprehensive survey and taxonomies of false data injection attacks in smart grids: attack models, targets, and impacts

Haftu Tasew Reda

Adnan Anwar

Abdun Mahmood

2022/7/1

HiCoOB: Hierarchical Concurrent Optimistic Blockchain Consensus Protocol for Peer-to-Peer Energy Trading Systems

IEEE Transactions on Smart Grid

Juhar Abdella

Zahir Tari

Redowan Mahmud

Nasrin Sohrabi

Adnan Anwar

...

2022/12/21

Adversarial Models Towards Data Availability and Integrity of Distributed State Estimation for Industrial IoT-Based Smart Grid

arXiv preprint arXiv:2206.06027

Haftu Tasew Reda

Abdun Mahmood

Adnan Anwar

Naveen Chilamkurti

2022/6/13

Mitigating consumer privacy breach in smart grid using obfuscation-based generative adversarial network

Sanket Desai

Nasser Sabar

Rabei Alhadad

Abdun Mahmood

Naveen Chilamkurti

2022

FedREP: towards horizontal federated load forecasting for retail energy providers

arXiv preprint arXiv:2203.00219

Muhammad Akbar Husnoo

Adnan Anwar

Nasser Hosseinzadeh

Shama Naz Islam

Abdun Naser Mahmood

...

2022/3/1

See List of Professors in Abdun Mahmood University(La Trobe University)