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D-Index
49
Citations
12904
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338
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20

Computer Science

D-Index
55
Citations
16361
World Ranking
4220
National Ranking
125

Nour Moustafa publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Nour Moustafa sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 242 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Nour Moustafa D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Nour Moustafa sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Nour Moustafa is affiliated with the University of New South Wales in Australia and specializes in computer science, with a focus on artificial intelligence, computer networks and communications, and information systems. Their research encompasses a range of subfields including signal processing and control and systems engineering.

The scientist's work emphasizes topics such as network security and intrusion detection, anomaly detection techniques and applications, advanced malware detection techniques, privacy-preserving technologies in data, smart grid security and resilience, IoT and edge/fog computing, and blockchain technology applications and security.

Notable recent publications include:

  • "TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems," 2020, IEEE Access
  • "A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets," 2021, Sustainable Cities and Society
  • "A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks," 2020, IEEE Internet of Things Journal
  • "A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions," 2020, Electronics
  • "ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets," 2021, IEEE Internet of Things Journal

Frequent co-authors in their research include Benjamin Turnbull, Mohamed Abdel-Basset, Hossam Hawash, Nickolaos Koroniotis, and Zahir Tari, reflecting collaboration across multiple projects.

Moustafa has contributed extensively to publication venues such as arXiv (Cornell University), IEEE Transactions on Intelligent Transportation Systems, IEEE Access, IEEE Internet of Things Journal, and IEEE Transactions on Industrial Informatics.

In addition to journal articles, Nour Moustafa has published books through Springer Nature, including Explainable Artificial Intelligence for Cyber Security (2022) and Deep Learning Techniques for IoT Security and Privacy (2021).

Best Publications

  • UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)

    Nour Moustafa;Jill Slay

  • Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset

    Nickolaos Koroniotis;Nour Moustafa;Elena Sitnikova;Benjamin P. Turnbull

  • The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set

    Nour Moustafa;Jill Slay

  • TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems

    Abdullah Alsaedi;Nour Moustafa;Zahir Tari;Abdun Naser Mahmood

  • An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things

    Nour Moustafa;Benjamin Turnbull;Kim-Kwang Raymond Choo

  • A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets

    Nour Moustafa

  • A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks

    Osama Alkadi;Nour Moustafa;Benjamin Turnbull;Kim-Kwang Raymond Choo

  • ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Datasets

    Tim M. Booij;Irina Chiscop;Erik Meeuwissen;Nour Moustafa

  • Identification of malicious activities in industrial internet of things based on deep learning models

    Muna AL-Hawawreh;Nour Moustafa;Elena Sitnikova

  • NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems

    Mohanad Sarhan;Siamak Layeghy;Nour Moustafa;Marius Portmann

  • Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey

    Unknown

  • A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions

    Javed Asharf;Nour Moustafa;Hasnat Khurshid;Essam Debie

  • Novel Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation on Large-Scale Networks

    Nour Moustafa;Jill Slay;Gideon Creech

  • A holistic review of Network Anomaly Detection Systems: A comprehensive survey

    Nour Moustafa;Jiankun Hu;Jill Slay

  • Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems

    Javed Ashraf;Asim D. Bakhshi;Nour Moustafa;Hasnat Khurshid

  • The Significant Features of the UNSW-NB15 and the KDD99 Data Sets for Network Intrusion Detection Systems

    Nour Moustafa;Jill Slay

  • A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework

    Nickolaos Koroniotis;Nour Moustafa;Elena Sitnikova

  • Big Data Analytics for Intrusion Detection System: Statistical Decision-Making Using Finite Dirichlet Mixture Models

    Nour Moustafa;Gideon Creech;Jill Slay

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

    Unknown

  • NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems

    Mohanad Sarhan;Siamak Layeghy;Nour Moustafa;Marius Portmann

  • An explainable deep learning-enabled intrusion detection framework in IoT networks

    Unknown

  • A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks

    Marwa Keshk;Benjamin Turnbull;Nour Moustafa;Dinusha Vatsalan

  • Towards Developing Network Forensic Mechanism for Botnet Activities in the IoT Based on Machine Learning Techniques

    Nickolaos Koroniotis;Nour Moustafa;Elena Sitnikova;Jill Slay

  • A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems

    Nour Moustafa;Erwin Adi;Benjamin Turnbull;Jiankun Hu

Frequent Co-Authors

Kim-Kwang Raymond Choo
Kim-Kwang Raymond Choo The University of Texas at San Antonio
Helge Janicke
Helge Janicke Edith Cowan University
Jiankun Hu
Jiankun Hu University of New South Wales
Karam M. Sallam
Karam M. Sallam University of Sharjah
Ibrahim Khalil
Ibrahim Khalil RMIT University
Seyit Camtepe
Seyit Camtepe Commonwealth Scientific and Industrial Research Organisation
Alireza Jolfaei
Alireza Jolfaei Flinders University
Ali Kashif Bashir
Ali Kashif Bashir Manchester Metropolitan University
Zahir Tari
Zahir Tari RMIT University
Monica T. Whitty
Monica T. Whitty Monash University

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