A. Nur Zincir-Heywood

ORCID

Publication Activity (10 Years)

Years Active: 2000-2021
Publications (10 Years): 67

Top Venues

GECCO (Companion)

NOMS

CNSM

Publications

Xiao Luo, Chengchao Yao, A. Nur Zincir-Heywood
Modelling and visualising SSH brute force attack behaviours through a hybrid learning framework. Int. J. Inf. Comput. Secur. 16 (1/2) (2021)
Amir Khaleghi Moghaddam, A. Nur Zincir-Heywood
Exploring data leakage in encrypted payload using supervised machine learning. ARES (2020)
A. 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) (2020)
Zachary Wilkins, A. Nur Zincir-Heywood
COUGAR: clustering of unknown malware using genetic algorithm routines. GECCO (2020)
Duc C. Le, A. Nur Zincir-Heywood
A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management. J. Netw. Syst. Manag. 28 (4) (2020)
Duc C. Le, A. Nur Zincir-Heywood
Exploring Adversarial Properties of Insider Threat Detection. CNS (2020)
Zachary Wilkins, Ibrahim Zincir, A. Nur Zincir-Heywood
Exploring an artificial arms race for malware detection. GECCO Companion (2020)
Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood
Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning. IEEE Trans. Netw. Serv. Manag. 17 (1) (2020)
David Carrera, Giuliano Casale, Takeru Inoue, Hanan Lutfiyya, Jia Wang, A. Nur Zincir-Heywood
Guest Editorial: Special Issue on Novel Techniques in Big Data Analytics for Management. IEEE Trans. Netw. Serv. Manag. 16 (3) (2019)
Tien D. Phan, A. Nur Zincir-Heywood
User identification via neural network based language models. Int. J. Netw. Manag. 29 (3) (2019)
Duc C. Le, A. Nur Zincir-Heywood
Machine learning based Insider Threat Modelling and Detection. IM (2019)
Moath Bagarish, Riyad Alshammari, A. Nur Zincir-Heywood
Are There Bots even in FIFA World Cup 2018 Tweets? CNSM (2019)
Ali Safari Khatouni, Lan Zhang, Khurram Aziz, Ibrahim Zincir, A. Nur Zincir-Heywood
Exploring NAT Detection and Host Identification Using Machine Learning. CNSM (2019)
Mihir Joshi, A. Nur Zincir-Heywood
Classification of Micro-Texts Using Sub-Word Embeddings. RANLP (2019)
Sara Khanchi, A. Nur Zincir-Heywood, Malcolm I. Heywood
Network Analytics for Streaming Traffic Analysis. IM (2019)
Zachary Wilkins, A. Nur Zincir-Heywood
Darwinian malware detectors: a comparison of evolutionary solutions to android malware. GECCO (Companion) (2019)
Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood
Unsupervised Monitoring of Networkand Service Behaviour Using SelfOrganizing Maps. J. Cyber Secur. Mobil. 8 (1) (2019)
Duc C. Le, Malcolm I. Heywood, A. Nur Zincir-Heywood
Benchmarking genetic programming in dynamic insider threat detection. GECCO (Companion) (2019)
Duc C. Le, A. Nur Zincir-Heywood
Learning From Evolving Network Data for Dependable Botnet Detection. CNSM (2019)
Mihir Joshi, Parmeet Singh, A. Nur Zincir-Heywood
Compromised Tweet Detection Using Siamese Networks and fastText Representations. CNSM (2019)
Pedro Ferreira, Duc C. Le, A. Nur Zincir-Heywood
Exploring Feature Normalization and Temporal Information for Machine Learning Based Insider Threat Detection. CNSM (2019)
Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood
Dynamic Insider Threat Detection Based on Adaptable Genetic Programming. SSCI (2019)
Duc C. Le, A. Nur Zincir-Heywood
Evaluating Insider Threat Detection Workflow Using Supervised and Unsupervised Learning. IEEE Symposium on Security and Privacy Workshops (2018)
Khalid Shahbar, A. Nur Zincir-Heywood
How far can we push flow analysis to identify encrypted anonymity network traffic? NOMS (2018)
Sara Khanchi, Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood
On botnet detection with genetic programming under streaming data, label budgets and class imbalance. GECCO (Companion) (2018)
A. Nur Zincir-Heywood, Tien D. Phan
A language model for compromised user analysis. NOMS (2018)
Duc C. Le, Sara Khanchi, A. Nur Zincir-Heywood, Malcolm I. Heywood
Benchmarking evolutionary computation approaches to insider threat detection. GECCO (2018)
Sara Khanchi, Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood
On botnet detection with genetic programming under streaming data label budgets and class imbalance. Swarm Evol. Comput. 39 (2018)
Rapahel Bronfman-Nadas, A. Nur Zincir-Heywood, John T. Jacobs
An Artificial Arms Race: Could it Improve Mobile Malware Detectors? TMA (2018)
Samuel Champagne, Tokunbo Makanju, Chengchao Yao, A. Nur Zincir-Heywood, Malcolm I. Heywood
A genetic algorithm for dynamic controller placement in software defined networking. GECCO (Companion) (2018)
Sara Khanchi, A. Nur Zincir-Heywood, Malcolm I. Heywood
Streaming Botnet traffic analysis using bio-inspired active learning. NOMS (2018)
Giuliano Casale, Yixin Diao, Marco Mellia, Rajiv Ranjan, A. Nur Zincir-Heywood
Guest Editorial: Special Section on Advances in Big Data Analytics for Management. IEEE Trans. Netw. Serv. Manag. 15 (1) (2018)
Olivia Lucca Fraser, A. Nur Zincir-Heywood, Malcolm I. Heywood, John T. Jacobs
Return-oriented programme evolution with ROPER: a proof of concept. GECCO (Companion) (2017)
Sara Khanchi, Malcolm I. Heywood, A. Nur Zincir-Heywood
Properties of a GP active learning framework for streaming data with class imbalance. GECCO (2017)
Khalid Shahbar, A. Nur Zincir-Heywood
Effects of Shared Bandwidth on Anonymity of the I2P Network Users. IEEE Symposium on Security and Privacy Workshops (2017)
Yixin Diao, A. Nur Zincir-Heywood
Big data analytics for network and service management. Int. J. Netw. Manag. 27 (4) (2017)
A. Nur Zincir-Heywood, Günes Kayacik
Evolutionary computation in network management and security: GECCO 2017 tutorial. GECCO (Companion) (2017)
Fariba Haddadi, A. Nur Zincir-Heywood
Botnet behaviour analysis: How would a data analytics-based system with minimum a priori information perform? Int. J. Netw. Manag. 27 (4) (2017)
Khalid Shahbar, A. Nur Zincir-Heywood
Weighted Factors for Evaluating Anonymity. FPS (2017)
Khalid Shahbar, A. Nur Zincir-Heywood
Packet Momentum for Identificationof Anonymity Networks. J. Cyber Secur. Mobil. 6 (1) (2017)
Khalid Shahbar, A. Nur Zincir-Heywood
An analysis of tor pluggable transports under adversarial conditions. SSCI (2017)
Chengchao Yao, Xiao Luo, A. Nur Zincir-Heywood
Data analytics for modeling and visualizing attack behaviors: A case study on SSH brute force attacks. SSCI (2017)
Adetokunbo Makanju, A. Nur Zincir-Heywood, Shinsaku Kiyomoto
On evolutionary computation for moving target defense in software defined networks. GECCO (Companion) (2017)
Weikeng Chen, Xiao Luo, A. Nur Zincir-Heywood
Exploring a service-based normal behaviour profiling system for botnet detection. IM (2017)
Fariba Haddadi, A. Nur Zincir-Heywood
Benchmarking the Effect of Flow Exporters and Protocol Filters on Botnet Traffic Classification. IEEE Syst. J. 10 (4) (2016)
Deepthi Rajashekar, A. Nur Zincir-Heywood, Malcolm I. Heywood
Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps. ICDM Workshops (2016)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
Autonomous system based flow marking scheme for IP-Traceback. NOMS (2016)
Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, A. Nur Zincir-Heywood
Women@GECCO 2016 Chairs' Welcome. GECCO (Companion) (2016)
Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood
Data analytics on network traffic flows for botnet behaviour detection. SSCI (2016)
Sara Khanchi, Malcolm I. Heywood, A. Nur Zincir-Heywood
On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets. EuroGP (2016)
Fariba Haddadi, Duong-Tien Phan, A. Nur Zincir-Heywood
How to choose from different botnet detection systems? NOMS (2016)
Serdar Baran Tatar, Andrew R. McIntyre, A. Nur Zincir-Heywood, Malcolm I. Heywood
Benchmarking Stream Clustering for Churn Detection in Dynamic Networks. Discovery Science (2015)
Eray Balkanli, A. Nur Zincir-Heywood, Malcolm I. Heywood
Feature selection for robust backscatter DDoS detection. LCN Workshops (2015)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
Deterministic flow marking for IPv6 traceback (DFM6). CNSM (2015)
Riyad Alshammari, A. Nur Zincir-Heywood
How Robust Can a Machine Learning Approach Be for Classifying Encrypted VoIP? J. Netw. Syst. Manag. 23 (4) (2015)
Eray Balkanli, A. Nur Zincir-Heywood
Highlights on analyzing one-way traffic using different tools. CISDA (2015)
Fariba Haddadi, Duc Le Cong, Laura Porter, A. Nur Zincir-Heywood
On the Effectiveness of Different Botnet Detection Approaches. ISPEC (2015)
Ali Vahdat, Jillian Morgan, Andrew R. McIntyre, Malcolm I. Heywood, A. Nur Zincir-Heywood
Tapped Delay Lines for GP Streaming Data Classification with Label Budgets. EuroGP (2015)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
Investigating unique flow marking for tracing back DDoS attacks. IM (2015)
Can Bozdogan, A. Nur Zincir-Heywood, Ibrahim Zincir
EMITS: An Experience Management System for IT Management Support. Int. J. Softw. Eng. Knowl. Eng. 25 (3) (2015)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
A Proxy Identifier Based on Patterns in Traffic Flows. HASE (2015)
Fariba Haddadi, A. Nur Zincir-Heywood
A Closer Look at the HTTP and P2P Based Botnets from a Detector's Perspective. FPS (2015)
Fariba Haddadi, A. Nur Zincir-Heywood
Botnet Detection System Analysis on the Effect of Botnet Evolution and Feature Representation. GECCO (Companion) (2015)
Riyad Alshammari, A. Nur Zincir-Heywood
Identification of VoIP encrypted traffic using a machine learning approach. J. King Saud Univ. Comput. Inf. Sci. 27 (1) (2015)
Xiao Luo, Revanth Nadanasabapathy, A. Nur Zincir-Heywood, Keith Gallant, Janith Peduruge
Predictive Analysis on Tracking Emails for Targeted Marketing. Discovery Science (2015)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
Probabilistic flow marking for IP traceback (PFM). RNDM@WMNC (2015)
Khalid Shahbar, A. Nur Zincir-Heywood
Traffic flow analysis of tor pluggable transports. CNSM (2015)
Hossein Rahimi, Tuerxun Maimaiti, A. Nur Zincir-Heywood
A case study for a secure and robust geo-fencing and access control framework. NOMS (2014)
Fariba Haddadi, A. Nur Zincir-Heywood
Data Confirmation for Botnet Traffic Analysis. FPS (2014)
Jeevitha Mahendiran, Kirstie Hawkey, A. Nur Zincir-Heywood
Exploring the need for visualizations in system administration tools. CHI Extended Abstracts (2014)
Yasemin Gokcen, Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
Can We Identify NAT Behavior by Analyzing Traffic Flows? IEEE Symposium on Security and Privacy Workshops (2014)
Eray Balkanli, Jander Alves, A. Nur Zincir-Heywood
Supervised learning to detect DDoS attacks. CICS (2014)
Fariba Haddadi, Jillian Morgan, Eduardo Gomes Filho, A. Nur Zincir-Heywood
Botnet Behaviour Analysis Using IP Flows: With HTTP Filters Using Classifiers. AINA Workshops (2014)
Fariba Haddadi, Dylan Runkel, A. Nur Zincir-Heywood, Malcolm I. Heywood
On botnet behaviour analysis using GP and C4.5. GECCO (Companion) (2014)
Khalid Shahbar, A. Nur Zincir-Heywood
Benchmarking two techniques for Tor classification: Flow level and circuit level classification. CICS (2014)
Eray Balkanli, A. Nur Zincir-Heywood
On the analysis of backscatter traffic. LCN Workshops (2014)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
TDFA: Traceback-Based Defense against DDoS Flooding Attacks. AINA (2014)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
On Evaluating IP Traceback Schemes: A Practical Perspective. IEEE Symposium on Security and Privacy Workshops (2013)
Hossein Rahimi, A. Nur Zincir-Heywood, Bharat Gadher
Indoor geo-fencing and access control for wireless networks. CICS (2013)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
IP traceback through (authenticated) deterministic flow marking: an empirical evaluation. EURASIP J. Inf. Secur. 2013 (2013)
Sara Rahimi, Andrew R. McIntyre, Malcolm I. Heywood, A. Nur Zincir-Heywood
Label free change detection on streaming data with cooperative multi-objective genetic programming. GECCO (Companion) (2013)
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios
Investigating event log analysis with minimum apriori information. IM (2013)
Ozge Yeloglu, Evangelos E. Milios, A. Nur Zincir-Heywood
Beyond term clusters: assigning Wikipedia concepts to scientific documents. ACM Symposium on Document Engineering (2013)
Can Bozdogan, A. Nur Zincir-Heywood, Yasemin Gokcen
Automatic optimization for a clustering based approach to support IT management. IM (2013)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
Investigating application behavior in network traffic traces. CISDA (2013)
Fariba Haddadi, A. Nur Zincir-Heywood
Analyzing string format-based classifiers for botnet detection: GP and SVM. IEEE Congress on Evolutionary Computation (2013)
Patrick LaRoche, Aimee Burrows, A. Nur Zincir-Heywood
How far an evolutionary approach can go for protocol state analysis and discovery. IEEE Congress on Evolutionary Computation (2013)
Fariba Haddadi, Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood
Malicious Automatically Generated Domain Name Detection Using Stateful-SBB. EvoApplications (2013)
Vahid Aghaei Foroushani, A. Nur Zincir-Heywood
Deterministic and Authenticated Flow Marking for IP Traceback. AINA (2013)
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios
Interactive learning of alert signatures in High Performance Cluster system logs. NOMS (2012)
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios
A Lightweight Algorithm for Message Type Extraction in System Application Logs. IEEE Trans. Knowl. Data Eng. 24 (11) (2012)
Can Bozdogan, A. Nur Zincir-Heywood
Data mining for supporting IT management. NOMS (2012)
Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood
Network Protocol Discovery and Analysis via Live Interaction. EvoApplications (2012)
Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood
Symbiotic evolutionary subspace clustering. IEEE Congress on Evolutionary Computation (2012)
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios, Markus Latzel
Spatio-temporal decomposition, clustering and identification for alert detection in system logs. SAC (2012)
Riyad Alshammari, A. Nur Zincir-Heywood
The Impact of Evasion on the Generalization of Machine Learning Algorithms to Classify VoIP Traffic. ICCCN (2012)
Aaron Atwater, Malcolm I. Heywood, A. Nur Zincir-Heywood
GP under streaming data constraints: a case for pareto archiving? GECCO (2012)
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios
A next generation entropy based framework for alert detection in system logs. Integrated Network Management (2011)
Riyad Alshammari, A. Nur Zincir-Heywood
Is machine learning losing the battle to produce transportable signatures against VoIP traffic? IEEE Congress on Evolutionary Computation (2011)
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios
Robust learning intrusion detection for attacks on wireless networks. Intell. Data Anal. 15 (5) (2011)

A. Nur Zincir-Heywood.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

A. Nur Zincir-Heywood