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Burak Kantarci

Burak Kantarci

D-Index & Metrics

Computer Science

D-Index
47
Citations
9269
World Ranking
6469
National Ranking
256

Research.com Recognitions

  • 2020 - ACM Senior Member

Overview

Burak Kantarci is a researcher affiliated with the University of Ottawa in Canada, specializing in computer science and engineering. Their work predominantly covers areas including artificial intelligence, computer networks and communications, electrical and electronic engineering, computer vision and pattern recognition, and signal processing.

The researcher has contributed significantly to multiple topics such as network security and intrusion detection, mobile crowdsensing and crowdsourcing, privacy-preserving technologies in data, advanced malware detection techniques, handwritten text recognition techniques, anomaly detection techniques and applications, and human mobility and location-based analysis.

Recent publications by Burak Kantarci demonstrate diverse contributions in related fields. Notable papers include:

  • Federated Learning in Smart City Sensing: Challenges and Opportunities (2020, Sensors)
  • Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats (2022, ACM Computing Surveys)
  • Distributed denial of service attack prediction: Challenges, open issues and opportunities (2023, Computer Networks)
  • 2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT (2023, Computers & Security)
  • Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses (2023, IEEE Communications Surveys & Tutorials)

Burak Kantarci frequently publishes in venues such as arXiv (Cornell University), IEEE Networking Letters, IEEE Communications Magazine, IEEE Internet of Things Journal, and the GLOBECOM 2022 - 2022 IEEE Global Communications Conference. This pattern reflects a consistent engagement with high-impact journals and conferences in computer science and engineering.

The researcher collaborates regularly with several coauthors, including Murat Şimşek, Poonam Lohan, Melike Erol-Kantarci, Murat Arda Önsü, and Ala Abu Alkheir. This network of collaborators supports a broad and interdisciplinary approach to research projects.

Burak Kantarci's academic contributions have been recognized through distinctions such as being named an ACM Senior Member in 2020, which highlights a level of professional achievement within the computing community.

Best Publications

  • Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges

    Moeen Hassanalieragh;Alex Page;Tolga Soyata;Gaurav Sharma

  • A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities

    Andrea Capponi;Claudio Fiandrino;Burak Kantarci;Luca Foschini

  • A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities

    Hadi Habibzadeh;Brian H. Nussbaum;Fazel Anjomshoa;Burak Kantarci

  • Federated Learning in Smart City Sensing: Challenges and Opportunities.

    JiChu Jiang;Burak Kantarci;Sema F. Oktug;Tolga Soyata

  • On the Feasibility of Deep Learning in Sensor Network Intrusion Detection

    Safa Otoum;Burak Kantarci;Hussein T. Mouftah

  • Trustworthy Sensing for Public Safety in Cloud-Centric Internet of Things

    Burak Kantarci;Hussein T. Mouftah

  • Quantifying User Reputation Scores, Data Trustworthiness, and User Incentives in Mobile Crowd-Sensing

    Maryam Pouryazdan;Burak Kantarci;Tolga Soyata;Luca Foschini

  • Reliable overlay topology design for the smart microgrid network

    M. Erol-Kantarci;B. Kantarci;H. T. Mouftah

  • Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats

    Unknown

  • Cloud-centric multi-level authentication as a service for secure public safety device networks

    Ismail Butun;Melike Erol-Kantarci;Burak Kantarci;Houbing Song

  • Anchor-Assisted and Vote-Based Trustworthiness Assurance in Smart City Crowdsensing

    Maryam Pouryazdan;Burak Kantarci;Tolga Soyata;Houbing Song

  • Sensing, communication and security planes: A new challenge for a smart city system design

    Hadi Habibzadeh;Tolga Soyata;Burak Kantarci;Azzedine Boukerche

  • Large-Scale Distributed Dedicated- and Non-Dedicated Smart City Sensing Systems

    Hadi Habibzadeh;Zhou Qin;Tolga Soyata;Burak Kantarci

  • Distributed denial of service attack prediction: Challenges, open issues and opportunities

    Unknown

  • 2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT

    Unknown

  • CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments

    Claudio Fiandrino;Andrea Capponi;Giuseppe Cacciatore;Dzmitry Kliazovich

  • LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness

    Unknown

  • Adversarial Machine Learning: A Multilayer Review of the State-of-the-Art and Challenges for Wireless and Mobile Systems

    Unknown

  • A continuous diversified vehicular cloud service availability framework for smart cities

    Ismaeel Al Ridhawi;Moayad Aloqaily;Burak Kantarci;Yaser Jararweh

  • Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset

    Jinxin Liu;Burak Kantarci;Carlisle Adams

  • Adaptively Supervised and Intrusion-Aware Data Aggregation for Wireless Sensor Clusters in Critical Infrastructures

    Safa Otoum;Burak Kantarci;Hussein Mouftah

  • Bandwidth Distribution Solutions for Performance Enhancement in Long-Reach Passive Optical Networks

    B. Kantarci;H. T. Mouftah

  • A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid

    Tie Qiu;Kaiyu Zheng;Houbing Song;Min Han

  • Social Behaviometrics for Personalized Devices in the Internet of Things Era

    Fazel Anjomshoa;Moayad Aloqaily;Burak Kantarci;Melike Erol-Kantarci

  • Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things

    Maryam Pouryazdan;Claudio Fiandrino;Burak Kantarci;Tolga Soyata

Frequent Co-Authors

Hussein T. Mouftah
Hussein T. Mouftah University of Ottawa
Melike Erol-Kantarci
Melike Erol-Kantarci University of Ottawa
Tolga Soyata
Tolga Soyata University at Albany, State University of New York
Luca Foschini
Luca Foschini University of Bologna
Moayad Aloqaily
Moayad Aloqaily United Arab Emirates University
Azzedine Boukerche
Azzedine Boukerche University of Ottawa
Dzmitry Kliazovich
Dzmitry Kliazovich University of Luxembourg
Pascal Bouvry
Pascal Bouvry University of Luxembourg
Houbing Song
Houbing Song University of Maryland, Baltimore County
Lei Wu
Lei Wu Stevens Institute of Technology

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