Nur Zincir-Heywood – Network Information Management and Security Group

NIMS Lab Students took the top place at the in the Atlantic Region CyberSci Challenge 2022/2023. What’s more, they ranked the fourth nationally. Way to go Team!

February 1, 2023February 1, 2023 Nur Zincir-Heywood

CyberSci – Canada’s Cyber Security Challenge: https://cybersecuritychallenge.ca Dalhousie News: https://www.dal.ca/news/2023/01/11/dal-computer-science-students-hack-their-way-to-national-competi.html

Security

AI Areas & Challenges w/ Dr. Nur Zincir-Heywood

January 31, 2023January 31, 2023 Nur Zincir-Heywood

AI and Evolutionary Computation Experts Q&A | Malcolm Heywood | Cognizant

January 31, 2023January 31, 2023 Nur Zincir-Heywood

Publications

Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

January 31, 2023January 31, 2023 Nur Zincir-Heywood

https://www.wiley.com/en-us/Communication+Networks+and+Service+Management+in+the+Era+of+Artificial+Intelligence+and+Machine+Learning-p-9781119675501

Award Security

IEEE/IFIP Best Poster Award

February 15, 2019January 31, 2023 Nur Zincir-Heywood

Congratulations to Tien and Nur for receiving the Best Poster Award at the IEEE/IFIP Workshop on Security for Emerging Distributed

AI Award Security

ACM GECCO Best Paper Award

February 15, 2019January 31, 2023 Nur Zincir-Heywood

Congratulations to Duc, Sara, Nur and Malcolm for receiving the Best paper Award at ACM GECCO 2018 – Real World

AI Award

ACM SigEvo Humies Award

February 15, 2019January 31, 2023 Nur Zincir-Heywood

Congratulations to Stephen Kelly and Malcolm I. Heywood, who won the Silver Humies Award at ACM GECCO 2018! Their research: Emergent

EuroGP Best Paper Nomination

February 15, 2019January 31, 2023 Nur Zincir-Heywood

Congratulations to Robert and Malcolm whose paper nominated for the Best Paper Award at EuroGP 2018!

AI Award

EuroGP Best Paper Award

July 11, 2017January 31, 2023 Nur Zincir-Heywood 0 Comments

Congratulations to Stephen Kelly and Malcolm Heywood, their paper titled – “Emergent Tangled Graph Representations for Atari Game Playing Agents”

Award

Dr. Nur Zincir-Heywood awarded the 2017 Women Leaders in the Digital Economy Award by Digital Nova Scotia

July 11, 2017February 15, 2019 Nur Zincir-Heywood

Dr. Zincir-Heywood’s dedication to diversity and championing of women in Computer Science earned her the 2017 Women Leaders in the

NIMS Data Sets
NetMate is employed to generate flows and compute feature values on the above data sets. Data sets are available for researchers in ARFF/CSV format which are ready to be used with Weka.

SBB
SBB is a form of genetic programming based learning algorithm which is designed and developed to solve tasks using a co-evolutionary approach.

Tcpreplay
Tcpreplay is a suite of BSD GPLv3 licensed tools written by Aaron Turner for UNIX (and Win32 under Cygwin) operating systems which gives you the ability to use previously captured traffic to test a variety of network devices.

NetMate
We use NetMate at NIMS to convert capture files of network traffic into flow statistics. NetMate lets you generate a comma separated value file containing flows from a capture file.

Tranalyzer
Tranalyzer2 is a lightweight flow generator and packet analyzer application designed for researchers with an emphasis on simplicity, performance, and scalability.

Softflowd
Softflowd is flow-based network traffic analyser capable of Cisco NetFlow data export. Softflowd semi-statefully tracks traffic flows recorded by listening on a network interface or by reading a packet capture file.

Circos
Circos is a software package for visualizing data and information. It visualizes data in a circular layout – this makes Circos ideal for exploring relationships between objects or positions.

Weka
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code.

MOA
MOA is an open source framework for data stream mining. It includes a collection of machine learning algorithms including classification, regression, clustering, outlier detection, concept drift detection, and recommender systems.