- Understanding the Performance of Cooperative Web Caching Systems Xiaosong Hu
- A Uniform Continuum Model for Scaling of Ad Hoc Networks
- On Evolving Buffer Overflow Attacks Using Genetic Programming
- On the Efficient Mining of Network Audit Data using Genetic Programming
- A CASE STUDY OF THREE OPEN SOURCE SECURITY MANAGEMENT
- Mimicry attacks have been the focus of detector research where the objective of the attacker is to generate
- The work presented in this paper is intended to test crucial system services against stack overflow
- A FLOW BASED APPROACH FOR SSH TRAFFIC DETECTION Riyad Alshammari , Member, IEEE , and A. Nur Zincir-Heywood , Member, IEEE
- Evolving Recurrent Models Using Linear GP Dalhousie University
- Intelligent Agents for Routing on Mobile Ad-Hoc Networks Dalhousie University
- A Preliminary Performance Comparison of Two Feature Sets for Encrypted Traffic Classification
- CCECE 2004-CCGEI 2004, Niagara Falls, May/mai 2004 0-7803-8253-6/04/$17.00 2004 IEEE
- A Comparison of Four Intrusion Detection Systems Secure E-Business
- VEA-bility Security Metric: A Network Security Analysis Tool Melanie Tupper
- Student Paper In this work, we focus on developing behavioral models of
- Intelligent Ants for Adaptive Network Routing Dalhousie University
- A Comparison of Word-and Term-based Methods for Automatic Web Site Summarization
- Optimizing Anomaly Detector Deployment under Evolutionary Black-box Vulnerability Testing
- A Comparison Between Signature and Machine Learning Based Detectors
- Abstract-A mimicry attack is a type of attack where the basic steps of a minimalist `core' attack are used to design multiple
- Comparison of a SOM Based Sequence Analysis System and Naive Bayesian Classifier for Spam
- Abstract--An approach to network intrusion detection is investigated, based purely on a hierarchy of Self-Organizing
- H. G. Kayacik A. N. Zincir-Heywood M. I. Heywood Dalhousie University
- AGENT-BASED ROUTING ALGORITHMS ON A LAN Y. Yang, A. N. Zincir-Heywood, M. I. Heywood, S. Srinivas
- Evolving TCP/IP Packets: A Case Study of Port Scans
- An Analysis of Clustering Objectives for Feature Selection Applied to Encrypted Traffic Identification
- Analysis of Three Intrusion Detection System Benchmark Datasets Using Machine Learning
- SOM Feature Extraction from Patient Discharge Summaries D. J. Tufts-Conrad1
- Cascaded GP Models for Data Mining Peter Lichodzijewski
- Genetic Programming Based WiFi Data Link Layer Attack Detection Patrick LaRoche, A. Nur Zincir-Heywood
- Abstract -This paper describes the development and evaluation of two unsupervised learning mechanisms for solving
- Generalization of Signatures for SSH Encrypted Traffic Identification
- 802.11 Network Intrusion Detection using Genetic Programming
- In this paper, we aim to determine the significance of different stages of an attack, namely the preamble and the
- Evolving Buffer Overflow Attacks with Detector H. Gunes Kayacik, Malcolm I. Heywood and A. Nur Zincir-Heywood
- Abstract--Although adaptive and heuristic approaches perform well under idealized conditions to the packet
- Modeling User Behaviors from FTP Server Logs Yeming Hu, A. Nur Zincir-Heywood
- A Comparison of Unsupervised Learning Techniques for Encrypted Traffic Identification
- Growing Recurrent Self Organizing Map Ozge Yelo~glu, Student Member, IEEE, A. Nur Zincir-Heywood, Member, IEEE,
- Incorporating Temporal Information for Document Classification Faculty of computer science
- Can Encrypted Traffic be identified without Port Numbers, IP Addresses and Payload Inspection?
- Robust Learning Intrusion Detection for Attacks on Wireless Networks
- COMBINING WORD BASED AND WORD CO-OCCURRENCE BASED SEQUENCE ANALYSIS FOR TEXT CATEGORIZATION
- Evaluation of Two Systems on Multi-class Multi-label Document Classification
- . Herrero et al. (Eds.): Computational Intel. in Security for Info. Systems, AISC 63, pp. 93100. springerlink.com Springer-Verlag Berlin Heidelberg 2009
- Benchmarking a Recurrent Linear GP Model on Prediction and Control Problems
- Machine Learning Based Encrypted Traffic Classification: Identifying SSH and Skype
- Capturing Temporal Sequences for Text Representation Using Hierarchical SOMs Xiao Luo, A. Nur Zincir-Heywood
- 802.11 De-authentication Attack Detection using Genetic Programming
- E-COMMERCE: A CASE STUDY OF BARBADOS' TOURISM AND HOSPITALITY INDUSTRY Nadia R. Corbin, A. Nur Zincir-Heywood
- Investigating Two Different Approaches for Encrypted Traffic Classification Riyad Alshammari and A. Nur Zincir-Heywood
- In this paper, a modeling and simulation framework is proposed for generating data for training and testing
- Analyzing the Temporal Sequences for Text Categorization Xiao Luo, A. Nur Zincir-Heywood
- Term-based Clustering and Summarization of Web Page Collections
- An Investigation on the Identification of VoIP traffic: Case Study on Gtalk and Skype
- Bottom-up Evolutionary Subspace Clustering Ali Vahdat and Malcolm Heywood and Nur Zincir-Heywood
- A Preliminary Investigation of Skype Traffic Classification Using a Minimalist Feature Set
- Abstract--The Dynamic Subset Selection (DSS) Active Learning algorithm is generalized to include the case of
- Abstract--Mimicry attacks have been the focus of detector research where the objective of the attacker is to generate
- TESTING A COGNITIVE PACKET CONCEPT ON A LAN X. Hu, A. N. Zincir-Heywood, M. I. Heywood
- KDD 99 intrusion detection datasets, which are based on DARPA 98 dataset, provides labeled data for researchers
- AAAA, Alife, Adaptive Behavior, Agents, and Ant Colony Optimization Intelligent Packets for Dynamic Network Routing Using Distributed
- Post-supervised Template Induction for Dynamic Web Sources
- Outsourcing Factors in the Phenomenon Sreeja Nair, Nur Zincir-Heywood
- SUPPORTING MICRO-MOBILITY WITH MULTI PROTOCOL HANDOFF MECHANISM
- Evolving Recurrent Linear-GP for Document Classification and Word Tracking
- An Evaluation of Entropy Based Approaches to Alert Detection in High Performance Cluster
