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Nur Zincir-Heywood
Ayse Nur Zincir-Heywood
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- affiliation: Dalhousie University,Faculty of Computer Science, Halifax, NS, USA
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2020 – today
- 2026
[j52]Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood:
Comprehensive Host-Based Malicious Behaviour Detection in VANETs. J. Netw. Syst. Manag. 34(4): 100 (2026)
[c204]Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood:
Generalization of Supervised Federated Intrusion Detection in VANETs. IV Workshops 2026: 2153-2160- 2025
[c203]Ryan Dee, Nur Zincir-Heywood:
Preliminary Study of Learning Models to Understand the Effect of Unlabelled Data for IoT Attack Detection. CCECE 2025: 710-714
[c202]Jeffrey A. Adjei, Nur Zincir-Heywood, Malcolm I. Heywood, Biswajit Nandy, Nabil Seddigh:
IoT Botnet Detection with Drift-Aligned Learning and DNS-Based C2 Identification. CNSM 2025: 1-7
[c201]Xinyi Li
, Samer Lahoud, Nur Zincir-Heywood:
Unsupervised Anomaly Detection for Wi-Fi Networks using RFFI. CNSM 2025: 1-5
[c200]Sanaz Adel Alipour, Jeannette Janssen, Rita Orji, Nur Zincir-Heywood:
Lightweight Early-Warning Bot Detection on X (Twitter): Temporal Patterns and Entropy Insights. COMPSAC 2025: 250-255
[c199]Sadia Afrin, Marwa A. Elsayed
, Nur Zincir-Heywood:
SQL-GENIE: SQL Protection using GENerative Modeling for Anomaly Detection against Injection and Evolved Adversarial Attacks. COMPSAC 2025: 459-464
[c198]Cenab Batu Bora, Julia Silva Weber, Nur Zincir-Heywood:
Network Identity Management: Application, Action and Device Aware Monitoring. COMPSAC 2025: 2269-2274
[c197]Yuxuan Wang
, Nur Zincir-Heywood, Malcolm I. Heywood
:
Discovering Blue Team Solutions for an Autonomous Cyber Operations Challenge using an Evolutionary Heuristic Search. GECCO Companion 2025: 919-922
[c196]Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood:
UAV-Specific Threat Detection with the ADVENT Framework. NoF 2025: 227-234
[c195]Jeffrey A. Adjei, Nur Zincir-Heywood, Malcolm I. Heywood
, Biswajit Nandy, Nabil Seddigh:
Can Flow Metadata Based Signatures Generalize for Identifying Attacks on IoT Devices? NOMS 2025: 1-5
[c194]Srivathsan Thirumurugan, Julia Silva Weber, Riyad Alshammari, Nur Zincir-Heywood, Biswajit Nandy, Nabil Seddigh:
Identifying Synchronous and Asynchronous Communications in IMA Traffic. NOMS 2025: 1-5
[c193]Julia Silva Weber, Srivathsan Thirumurugan, Riyad Alshammari, Nur Zincir-Heywood, Manjinder Nir, Donald Bennett, Delfin Y. Montuno, Biswajit Nandy, Nabil Seddigh:
Encrypted Network Traffic Analysis (ENTA) Platform: IMA VoIP Traffic Identification. NOMS 2025: 1-3
[d6]Jeffrey A. Adjei, Nur Zincir-Heywood, Malcolm I. Heywood, Nabil Seddigh, Biswajit Nandy:
DALHOUSIE NIMS LAB IoT ATTACK DATASET 2025-1. IEEE DataPort, 2025
[d5]Cenab Batu Bora, Julia Silva Weber
, Nur Zincir-Heywood
:
cenab/nim-core: Network Identity Management: Application, Action and Device Aware Monitoring. Zenodo, 2025
- 2024
[j51]Carol Fung, Augusto Neto, Nur Zincir-Heywood, Changqing Luo
:
CSNet 2023 special issue - the resilient networked systems. Ann. des Télécommunications 79(11-12): 707-709 (2024)
[j50]Egil Karlsen, Xiao Luo, Nur Zincir-Heywood, Malcolm I. Heywood
:
Large language models and unsupervised feature learning: implications for log analysis. Ann. des Télécommunications 79(11-12): 711-729 (2024)
[j49]Ziyu Qiu, Zhilei Zhou, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood
:
Assessing the impact of bag-of-words versus word-to-vector embedding methods and dimension reduction on anomaly detection from log files. Int. J. Netw. Manag. 34(1) (2024)
[j48]Marwa A. Elsayed
, Nur Zincir-Heywood:
BoostSec: Adaptive Attack Detection for Vehicular Networks. J. Netw. Syst. Manag. 32(1): 6 (2024)
[j47]Egil Karlsen, Xiao Luo, Nur Zincir-Heywood, Malcolm I. Heywood
:
Benchmarking Large Language Models for Log Analysis, Security, and Interpretation. J. Netw. Syst. Manag. 32(3): 59 (2024)
[j46]Nur Zincir-Heywood, Robert Birke, Elias Bou-Harb, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal
, Abdallah Shami, Natalia Stakhanova:
Guest Editorial: Special section on Networks, Systems, and Services Operations and Management Through Intelligence. IEEE Trans. Netw. Serv. Manag. 21(3): 2608-2612 (2024)
[c192]Jeffrey A. Adjei, Nur Zincir-Heywood, Biswajit Nandy, Nabil Seddigh:
IoT Device and State Identification based on Usage Patterns. CNSM 2024: 1-7
[c191]Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood:
Evaluating the Robustness of ADVENT on the VeReMi-Extension Dataset. CNSM 2024: 1-7
[c190]Rafael Copstein, Nur Zincir-Heywood, Malcolm I. Heywood
:
Improving Real-Time Anomaly Detection using Multiple Instances of Micro-Cluster Detection. CNSM 2024: 1-6
[c189]Zhilei Zhou, Nur Zincir-Heywood
, Malcolm I. Heywood
:
Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks. EvoApplications@EvoStar 2024: 361-376
[c188]Jeffrey Adjei, Nur Zincir-Heywood, Biswajit Nandy, Nabil Seddigh:
Identifying IoT Devices: A Machine Learning Analysis Using Traffic Flow Metadata. NOMS 2024: 1-7
[c187]Sadia Afrin
, Marwa A. Elsayed
, Nur Zincir-Heywood:
GENI: GANs Evaluation of iNjection attacks on IoT. WF-IoT 2024: 1-6
[c186]Haotian Liu, Riyad Alshammari, Nur Zincir-Heywood:
Edge-Cloud VPN Traffic Analysis over Cross Platforms. WF-IoT 2024: 1-6
[c185]Sadia Afrin
, Marwa A. Elsayed
, Nur Zincir-Heywood:
Work in Progress: Exploring Generative Modeling for Injection Attack Detection. WF-IoT 2024: 580-581
[c184]Alexander Loginov, Nur Zincir-Heywood, Kevin de Snayer, Terri Dougall:
Exploring Data Exhaust Under Different IoT Traffic Scenarios. WF-IoT 2024: 798-803
[d4]Jeffrey Adjei, Nur Zincir-Heywood, Biswajit Nandy, Nabil Seddigh:
DALHOUSIE NIMS LAB IOT 2024 DATASET. IEEE DataPort, 2024
[d3]Jeffrey Attakorah Adjei, Nur Zincir-Heywood, Biswajit Nandy, Nabil Seddigh:
DALHOUSIE NIMS LAB BENIGN DATASET 2024-2. IEEE DataPort, 2024
[d2]Haotian Liu, Riyad Alshammari, Nur Zincir-Heywood:
Dalhousie NIMS Lab VPN 2024 Dataset. IEEE DataPort, 2024
[i3]Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood:
ADVENT: Attack/Anomaly Detection in VANETs. CoRR abs/2401.08564 (2024)- 2023
[j45]Sanaz Adel Alipour
, Rita Orji, Nur Zincir-Heywood:
Behaviour and Bot Analysis on Online Social Networks: Twitter, Parler, and Reddit. Int. J. Technol. Hum. Interact. 19(1): 1-19 (2023)
[j44]Nur Zincir-Heywood
, Robert Birke, Elias Bou-Harb, Giuliano Casale, Khalil El-Khatib, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal
, Abdallah Shami, Natalia Stakhanova, Farhana H. Zulkernine:
Guest Editorial: Special Section on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part II. IEEE Trans. Netw. Serv. Manag. 20(2): 882-889 (2023)
[c183]Marwa A. Elsayed
, Patrick Russell, Biswajit Nandy, Nabil Seddigh, Nur Zincir-Heywood:
Anomaly Detection for IoT Networks: Empirical Study. CCECE 2023: 432-437
[c182]Rafael Copstein, Brad Niblett, Andrew Johnston, Jeff Schwartzentruber, Malcolm I. Heywood
, Nur Zincir-Heywood:
MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection. CNSM 2023: 1-7
[c181]Alexander Loginov, Jeffrey Adjei, Nur Zincir-Heywood, Srinivas Sampalli, Kevin de Snayer, Terri Dougall:
Preliminary Results on Exploring Data Exhaust of Consumer Internet of Things Devices. CNSM 2023: 1-5
[c180]Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood
, Malcolm I. Heywood
:
A Boosting Approach to Constructing an Ensemble Stack. EuroGP 2023: 133-148
[c179]Zolboo Erdenebaatar, Riyad Alshammari, Biswajit Nandy, Nabil Seddigh, Marwa Elsayed
, Nur Zincir-Heywood:
Depicting Instant Messaging Encrypted Traffic Characteristics through an Empirical Study. ICCCN 2023: 1-10
[c178]Syed Hani Raza Abidi, Nur Zincir-Heywood, Syed Sibte Raza Abidi, Kranthi Jalakam, Samina Abidi, Lakshman Gunaratnam, Rita Suri, Héloïse Cardinale, Amanda Vinson
, Bhanu Prasad, Michael Walsh, Seychelle Yohanna, George Worthen, Karthik K. Tennankore:
Characterizing Cluster-Based Frailty Phenotypes in a Multicenter Prospective Cohort of Kidney Transplant Candidates. MedInfo 2023: 896-900
[c177]Hamideh Baharlouei
, Adetokunbo Makanju
, Nur Zincir-Heywood
:
Exploring Real-Time Malicious Behaviour Detection in VANETs. DIVANet 2023: 1-8
[c176]Zolboo Erdenebaatar, Riyad Alshammari, Nur Zincir-Heywood, Marwa Elsayed
, Biswajit Nandy, Nabil Seddigh:
Analyzing Traffic Characteristics of Instant Messaging Applications on Android Smartphones. NOMS 2023: 1-5
[c175]Zolboo Erdenebaatar, Biswajit Nandy, Nabil Seddigh, Riyad Alshammari, Marwa Elsayed
, Nur Zincir-Heywood:
Instant Messaging Application Encrypted Traffic Generation System. NOMS 2023: 1-3
[c174]Patrick Russell, Marwa A. Elsayed
, Biswajit Nandy, Nabil Seddigh, Nur Zincir-Heywood:
On the Fence: Anomaly Detection in IoT Networks. NOMS 2023: 1-4
[c173]Julia Silva Weber, Tiago Ferreto, Nur Zincir-Heywood:
Exploring Anomaly Detection Techniques for Enhancing VANET Availability. VTC2023-Spring 2023: 1-7
[d1]Zolboo Erdenebaatar, Riyad Alshammari, Nur Zincir-Heywood, Marwa Elsayed, Biswajit Nandy, Nabil Seddigh:
Encrypted Mobile Instant Messaging Traffic Dataset. IEEE DataPort, 2023
[i2]Egil Karlsen, Xiao Luo, Nur Zincir-Heywood, Malcolm I. Heywood:
Benchmarking Large Language Models for Log Analysis, Security, and Interpretation. CoRR abs/2311.14519 (2023)- 2022
[j43]Rafael Copstein, Egil Karlsen, Jeff Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood
:
Exploring syntactical features for anomaly detection in application logs. it Inf. Technol. 64(1-2): 15-27 (2022)
[j42]Nur Zincir-Heywood
, Robert Birke, Elias Bou-Harb, Giuliano Casale, Khalil El-Khatib
, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal
, Abdallah Shami
, Natalia Stakhanova, Farhana H. Zulkernine:
Guest Editorial: Special Issue on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part I. IEEE Trans. Netw. Serv. Manag. 19(4): 3988-3994 (2022)
[c172]Sanaz Adel Alipour
, Rita Orji, Nur Zincir-Heywood:
Security of Social Networks: Lessons Learned on Twitter Bot Analysis in the Literature. ARES 2022: 124:1-124:9
[c171]Aishik Sanyal, Adetokunbo Makanju, Nur Zincir-Heywood:
Implementation of a Decentralized Traffic Congestion Avoidance Mechanism for VANETs. DIVANet 2022: 3-8
[c170]Marwa A. Elsayed
, Nur Zincir-Heywood:
BoostGuard: Interpretable Misbehavior Detection in Vehicular Communication Networks. NOMS 2022: 1-9
[c169]Hamideh Baharlouei, Adetokunbo Makanju, Nur Zincir-Heywood:
Exploring Realistic VANET Simulations for Anomaly Detection of DDoS Attacks. VTC Spring 2022: 1-7
[i1]Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood:
A Boosting Approach to Constructing an Ensemble Stack. CoRR abs/2211.15621 (2022)- 2021
[j41]Xiao Luo, Chengchao Yao, Nur Zincir-Heywood:
Modelling and visualising SSH brute force attack behaviours through a hybrid learning framework. Int. J. Inf. Comput. Secur. 16(1/2): 170-191 (2021)
[j40]Nur Zincir-Heywood
, Rémi Badonnel:
CNSM 2019 special issue: Embracing the new wave of artificial intelligence. Int. J. Netw. Manag. 31(1) (2021)
[j39]Duc C. Le
, Nur Zincir-Heywood
:
Exploring anomalous behaviour detection and classification for insider threat identification. Int. J. Netw. Manag. 31(4) (2021)
[j38]Ali Safari Khatouni
, Nabil Seddigh, Biswajit Nandy, Ayse Nur Zincir-Heywood:
Machine Learning Based Classification Accuracy of Encrypted Service Channels: Analysis of Various Factors. J. Netw. Syst. Manag. 29(1): 8 (2021)
[j37]Nur Zincir-Heywood
, Giuliano Casale
, David Carrera
, Lydia Y. Chen
, Amogh Dhamdhere, Takeru Inoue
, Hanan Lutfiyya, Taghrid Samak:
Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management - Part II. IEEE Trans. Netw. Serv. Manag. 18(1): 775-779 (2021)
[j36]Duc C. Le
, Nur Zincir-Heywood
:
Anomaly Detection for Insider Threats Using Unsupervised Ensembles. IEEE Trans. Netw. Serv. Manag. 18(2): 1152-1164 (2021)
[j35]Hanan Lutfiyya
, Robert Birke
, Giuliano Casale
, Amogh Dhamdhere, Jinho Hwang
, Takeru Inoue
, Neeraj Kumar
, Deepak Puthal
, Nur Zincir-Heywood
:
Guest Editorial: Special Section on Embracing Artificial Intelligence for Network and Service Management. IEEE Trans. Netw. Serv. Manag. 18(4): 3936-3941 (2021)
[c168]Yulduz Khodjaeva, Nur Zincir-Heywood:
Network Flow Entropy for Identifying Malicious Behaviours in DNS Tunnels. ARES 2021: 72:1-72:7
[c167]Rafael Copstein, Jeff Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood:
Log Abstraction for Information Security: Heuristics and Reproducibility. ARES 2021: 93:1-93:10
[c166]Muhammadjon Toshpulatov, Nur Zincir-Heywood:
Anomaly Detection on Smart Meters Using Hierarchical Self Organizing Maps. CCECE 2021: 1-6
[c165]Boma Graham-Kalio, Oladapo Oyebode
, Nur Zincir-Heywood, Rita Orji
:
Analyzing COVID-19 Tweets using Health Behaviour Theories and Machine Learning. SEGAH 2021: 1-8
[c164]Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood:
Training regime influences to semi-supervised learning for insider threat detection. SP (Workshops) 2021: 13-18
[c163]Noah MacAskill, Zachary Wilkins, Nur Zincir-Heywood:
Scaling Multi-Objective Optimization for Clustering Malware. SSCI 2021: 1-8- 2020
[j34]Duc C. Le, Nur Zincir-Heywood
:
A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management. J. Netw. Syst. Manag. 28(4): 827-849 (2020)
[j33]Duc C. Le
, Nur Zincir-Heywood
, Malcolm I. Heywood
:
Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning. IEEE Trans. Netw. Serv. Manag. 17(1): 30-44 (2020)
[j32]Nur Zincir-Heywood
, Giuliano Casale
, David Carrera
, Lydia Y. Chen
, Amogh Dhamdhere, Takeru Inoue
, Hanan Lutfiyya, Taghrid Samak:
Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part I. IEEE Trans. Netw. Serv. Manag. 17(4): 1971-1974 (2020)
[c162]Amir Khaleghi Moghaddam, Nur Zincir-Heywood:
Exploring data leakage in encrypted payload using supervised machine learning. ARES 2020: 74:1-74:10
[c161]Duc C. Le, Nur Zincir-Heywood:
Exploring Adversarial Properties of Insider Threat Detection. CNS 2020: 1-9
[c160]Rafael Copstein, Nur Zincir-Heywood:
Temporal Representations for Detecting BGP Blackjack Attacks. CNSM 2020: 1-7
[c159]Zachary Wilkins, Nur Zincir-Heywood:
COUGAR: clustering of unknown malware using genetic algorithm routines. GECCO 2020: 1195-1203
[c158]Zachary Wilkins, Ibrahim Zincir, Nur Zincir-Heywood:
Exploring an artificial arms race for malware detection. GECCO Companion 2020: 1537-1545
[c157]Adam J. Campbell, Nur Zincir-Heywood:
Exploring Tunneling Behaviours in Malicious Domains With Self-Organizing Maps. SSCI 2020: 1419-1426
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