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Computer Science

D-Index
58
Citations
27773
World Ranking
3526
National Ranking
139

Overview

Ali A. Ghorbani is affiliated with the University of New Brunswick in Canada, contributing extensively to the field of computer science. Their work spans multiple subfields, with significant contributions in artificial intelligence, computer networks and communications, signal processing, information systems, and computer vision and pattern recognition.

The scientist's research primarily focuses on topics including advanced malware detection techniques, network security and intrusion detection, smart grid security and resilience, anomaly detection techniques and applications, privacy-preserving technologies in data, misinformation and its impacts, as well as spam and phishing detection.

Some of the recent papers authored or co-authored by Ali A. Ghorbani include:

  • "CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment," 2023, Sensors
  • "Effective and Efficient Hybrid Android Malware Classification Using Pseudo-Label Stacked Auto-Encoder," 2021, Journal of Network and Systems Management
  • "Security Issues in Internet of Vehicles (IoV): A Comprehensive Survey," 2023, Internet of Things
  • "CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment," 2023, Preprints.org
  • "Achieving O(log³n) Communication-Efficient Privacy-Preserving Range Query in Fog-Based IoT," 2020, IEEE Internet of Things Journal

Frequent co-authors who have collaborated with Ali A. Ghorbani include Sajjad Dadkhah, Rongxing Lu, Xichen Zhang, Arash Habibi Lashkari, and Euclides Carlos Pinto Neto.

The venues in which Ali A. Ghorbani publishes most often highlight areas of interest and impact. These include arXiv (Cornell University), SSRN Electronic Journal, IEEE Internet of Things Journal, Computers & Security, and Computational Intelligence.

Best Publications

  • A detailed analysis of the KDD CUP 99 data set

    Mahbod Tavallaee;Ebrahim Bagheri;Wei Lu;Ali A. Ghorbani

  • Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization

    Iman Sharafaldin;Arash Habibi Lashkari;Ali A. Ghorbani

  • Toward developing a systematic approach to generate benchmark datasets for intrusion detection

    Ali Shiravi;Hadi Shiravi;Mahbod Tavallaee;Ali A. Ghorbani

  • An overview of online fake news: Characterization, detection, and discussion

    Xichen Zhang;Ali A. Ghorbani

  • Characterization of Encrypted and VPN Traffic using Time-related Features

    Gerard Draper-Gil;Arash Habibi Lashkari;Mohammad Saiful Islam Mamun;Ali A. Ghorbani

  • Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy

    Iman Sharafaldin;Arash Habibi Lashkari;Saqib Hakak;Ali A. Ghorbani

  • Weighted PageRank algorithm

    W. Xing;A. Ghorbani

  • Characterization of Tor Traffic using Time based Features.

    Arash Habibi Lashkari;Gerard Draper Gil;Mohammad Saiful Islam Mamun;Ali A. Ghorbani

  • CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

    Unknown

  • A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT

    Rongxing Lu;Kevin Heung;Arash Habibi Lashkari;Ali A. Ghorbani

  • Botnet detection based on traffic behavior analysis and flow intervals

    David Zhao;Issa Traore;Bassam Sayed;Wei Lu

  • A Survey of Visualization Systems for Network Security

    H. Shiravi;A. Shiravi;A. A. Ghorbani

  • Toward Credible Evaluation of Anomaly-Based Intrusion-Detection Methods

    Mahbod Tavallaee;Natalia Stakhanova;Ali Akbar Ghorbani

  • Detecting P2P botnets through network behavior analysis and machine learning

    Sherif Saad;Issa Traore;Ali Ghorbani;Bassam Sayed

  • RESEARCH ON INTRUSION DETECTION AND RESPONSE: A SURVEY

    Peyman Kabiri;Ali A. Ghorbani

  • Toward Developing a Systematic Approach to Generate Benchmark Android Malware Datasets and Classification

    Arash Habibi Lashkari;Andi Fitriah A. Kadir;Laya Taheri;Ali A. Ghorbani

  • Towards effective feature selection in machine learning-based botnet detection approaches

    Elaheh Biglar Beigi;Hossein Hadian Jazi;Natalia Stakhanova;Ali A. Ghorbani

  • Y-means: a clustering method for intrusion detection

    Y. Guan;A.A. Ghorbani;N. Belacel

  • Towards a Reliable Intrusion Detection Benchmark Dataset

    Iman Sharafaldin;Amirhossein Gharib;Arash Habibi Lashkari;Ali A. Ghorbani

  • Application of deep learning to cybersecurity: A survey

    Samaneh Mahdavifar;Ali A. Ghorbani

  • Network anomaly detection based on wavelet analysis

    Wei Lu;Ali A. Ghorbani

  • Network Intrusion Detection and Prevention: Concepts and Techniques

    Ali A. Ghorbani;Wei Lu;Mahbod Tavallaee

Frequent Co-Authors

Rongxing Lu
Rongxing Lu Queen's University
Jie Zhang
Jie Zhang Nanyang Technological University
Jun Shao
Jun Shao Zhejiang Gongshang University
Jelena Jovanovic
Jelena Jovanovic University of Belgrade
Gaoxi Xiao
Gaoxi Xiao Nanyang Technological University
Robin Cohen
Robin Cohen University of Waterloo
Xiaohu Tang
Xiaohu Tang Southwest Jiaotong University
Guomin Yang
Guomin Yang Singapore Management University
Gabriella Pasi
Gabriella Pasi University of Milano-Bicocca
Josep Domingo-Ferrer
Josep Domingo-Ferrer Rovira i Virgili University

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