Marwa Keshk

1.4k total citations · 2 hit papers
19 papers, 880 citations indexed

About

Marwa Keshk is a scholar working on Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Marwa Keshk has authored 19 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 11 papers in Control and Systems Engineering. Recurrent topics in Marwa Keshk's work include Network Security and Intrusion Detection (13 papers), Smart Grid Security and Resilience (11 papers) and Anomaly Detection Techniques and Applications (9 papers). Marwa Keshk is often cited by papers focused on Network Security and Intrusion Detection (13 papers), Smart Grid Security and Resilience (11 papers) and Anomaly Detection Techniques and Applications (9 papers). Marwa Keshk collaborates with scholars based in Australia, United States and Pakistan. Marwa Keshk's co-authors include Nour Moustafa, Benjamin Turnbull, Nickolaos Koroniotis, Albert Y. Zomaya, Elena Sitnikova, Kim‐Kwang Raymond Choo, Dinusha Vatsalan, Zahir Tari, Jiankun Hu and Ibrahim Khalil and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Information Sciences.

In The Last Decade

Marwa Keshk

19 papers receiving 841 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions

2023 122 citations Nour Moustafa, Nickolaos Koroniotis et al. IEEE Communications Surveys & Tutorials profile →
An explainable deep learning-enabled intrusion detection framework in IoT networks

2023 102 citations Marwa Keshk, Nickolaos Koroniotis et al. Information Sciences profile →

Peers

Countries citing papers authored by Marwa Keshk

Since Specialization

Citations

This map shows the geographic impact of Marwa Keshk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marwa Keshk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marwa Keshk more than expected).

Fields of papers citing papers by Marwa Keshk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marwa Keshk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marwa Keshk. The network helps show where Marwa Keshk may publish in the future.

Co-authorship network of co-authors of Marwa Keshk

This figure shows the co-authorship network connecting the top 25 collaborators of Marwa Keshk. A scholar is included among the top collaborators of Marwa Keshk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marwa Keshk. Marwa Keshk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Vulnerability defence using hybrid moving target defence in Internet of Things systems 2025 ·Computers & Security ·(unknown), Marwa Keshk, Nour Moustafa, Benjamin Turnbull, Willy Susilo	2
2	Generative fuzzer-driven vulnerability detection in the Internet of Things networks 2025 ·Applied Soft Computing ·(unknown), Nickolaos Koroniotis, Marwa Keshk, Benjamin Turnbull, (unknown), Nour Moustafa	2
3	PLLM-CS: Pre-trained Large Language Model (LLM) for cyber threat detection in satellite networks 2024 ·Ad Hoc Networks ·Mohammed Hassanin, Marwa Keshk, (unknown), (unknown), Dharmendra Sharma	28
4	A context-aware zero trust-based hybrid approach to IoT-based self-driving vehicles security 2024 ·Ad Hoc Networks ·Izhar Ahmed Khan, Marwa Keshk, Yasir Hussain, Dechang Pi, Bentian Li, (unknown), (unknown)	4
5	Explainable Artificial Intelligence for Resilient Security Applications in the Internet of Things 2024 ·IEEE Open Journal of the Communications Society ·(unknown), Marwa Keshk, Nour Moustafa, Igor Linkov, (unknown)	10
6	Cybersecurity Solutions and Techniques for Internet of Things Integration in Combat Systems 2024 ·IEEE Transactions on Sustainable Computing ·(unknown), Nickolaos Koroniotis, Marwa Keshk, Nour Moustafa, Zahir Tari	14
7	Swarm Optimization-Based Federated Learning for the Cyber Resilience of Internet of Things Systems Against Adversarial Attacks 2023 ·IEEE Transactions on Consumer Electronics ·Waleed Yamany, Marwa Keshk, Nour Moustafa, Benjamin Turnbull	6
8	Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions breakdown → 2023 ·IEEE Communications Surveys & Tutorials ·Nour Moustafa, Nickolaos Koroniotis, Marwa Keshk, Albert Y. Zomaya, Zahir Tari	122
9	An explainable deep learning-enabled intrusion detection framework in IoT networks breakdown → 2023 ·Information Sciences ·Marwa Keshk, Nickolaos Koroniotis, (unknown), Nour Moustafa, Benjamin Turnbull, Albert Y. Zomaya	102
10	Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems 2022 ·Ad Hoc Networks ·Izhar Ahmed Khan, Marwa Keshk, Dechang Pi, Nasrullah Khan, Yasir Hussain, (unknown)	72
11	IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities 2021 ·Sustainable Cities and Society ·Javed Ashraf, Marwa Keshk, Nour Moustafa, Mohamed Abdel‐Basset, Hasnat Khurshid, Asim Dilawar Bakhshi, Reham R. Mostafa	124
12	DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks 2021 ·Future Generation Computer Systems ·Nour Moustafa, Marwa Keshk, Kim‐Kwang Raymond Choo, Timothy Lynar, Seyit Camtepe, Monica T. Whitty	32
13	Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems 2021 ·IEEE Access ·Marwa Keshk, Benjamin Turnbull, Elena Sitnikova, Dinusha Vatsalan, Nour Moustafa	28
14	Privacy-Preserving Techniques for Protecting Large-Scale Data of Cyber-Physical Systems 2020 ·Marwa Keshk, Nour Moustafa, Elena Sitnikova, Benjamin Turnbull, Dinusha Vatsalan	3
15	FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems 2020 ·Computers & Security ·Waqas Haider, Nour Moustafa, Marwa Keshk, Amanda Fernandez, Kim‐Kwang Raymond Choo, Abdul Wahab	19
16	An Integrated Framework for Privacy-Preserving Based Anomaly Detection for Cyber-Physical Systems 2019 ·IEEE Transactions on Sustainable Computing ·Marwa Keshk, Elena Sitnikova, Nour Moustafa, Jiankun Hu, Ibrahim Khalil	128
17	A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks 2019 ·IEEE Transactions on Industrial Informatics ·Marwa Keshk, Benjamin Turnbull, Nour Moustafa, Dinusha Vatsalan, Kim‐Kwang Raymond Choo	143
18	Automatic estimation of differential evolution parameters using Hidden Markov Models 2018 ·Evolutionary Intelligence ·Marwa Keshk, Hemant Kumar Singh, Hussein A. Abbass	5
19	Privacy-preserving big data analytics for cyber-physical systems 2018 ·Wireless Networks ·Marwa Keshk, Nour Moustafa, Elena Sitnikova, Benjamin Turnbull	36

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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