Organizations are increasingly relying on networks for the seamless integration of distributed information systems. This has provided many advantages but it has also increased the capacity for the disruption of mission critical services. Some of these problems can be addressed by augmenting existing network management tools, but new approaches, ones that can be integrated with the existing infrastructure, must be developed in order to deal with novel threats. The Network Information Management and Security (NIMS) group proposes a holistic yet distributed approach to network information management and security. The NIMS group has a strong background in networking as well as machine learning and artificial intelligence. The group meets biweekly at the Faculty of Computer Science, Dalhousie University.

Latest News

July 2014

A big congratulations to Robert and Dr. Malcolm!

Congratulations to Robert and Dr. Malcolm, their SBB-GP is ranked Number-1 in the Big Data Competition at the Evolutionary Computation for Big Data and Big Learning Workshop at ACM GECCO'2014!

May 2014

A big congratulation to Yasemin, Vahid and Dr. Nur!



A big congratulation to Yasemin Gokcen, Vahid Aghaei-Foroushani and Nur Zincir-Heywood who got the best paper award for the paper "Can we identify NAT behavior by analyzing Traffic Flows?" in the International Workshop on Cyber Crime (IWCC 2014).

April 2014

Congratulations to Salman Mohammed!

Congratulations to Salman Mohammed who received FCS USRA Award!

April 2014

Congratulations to Duc Le Cong!

Congratulations to Duc Le Cong who received Mitacs Globalink Award!

April 2014

Congratulations to Jander Alves and Anderson Farias!

Congratulations to Jander Alves and Anderson Farias who received Scienece Without Borders Student Awards!




Fall 2013

NIMS Lab is Covered in Computer Science Magazine!


May 30, 2013

A Big Congratulation to Adetokunbo Makanju!

A Big Congratulations to Adetokunbo Makanju, who won the IM 2013 PhD Dissertation Award (jointly with Mrs. Carol Fung)! IEEE IM'2013 follows the 25 years tradition of NOMS and IM as the primary IEEE Communications Society's forum for technical exchange on management of information and communication technologies. Congratulations Dr. Tokunbo for a well deserved award for your PhD :-)

February 15, 2013

Congratulation to Stephen Kelly!

Congratulation to Stephen Kelly who will dedicate today his technical system-based media artwork named patch in the atrium of the Mona Campel Building! »


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RESOURCES

NIMS Data Sets

NIMS Data Sets
NetMate is employed to generate flows and compute feature values on the above data sets. Data sets are available for »

SBB

SBB
SBB is a form of genetic programming based learning algorithm which is designed and developed to »

Tcpreplay

Tcpreplay
Tcpreplay is a suite of BSD GPLv3 licensed tools written by Aaron Turner for UNIX (and Win32 under Cygwin) operating »

NetMate

NetMate
We use NetMate at NIMS to convert capture files of network traffic into flow statistics. NetMate lets you generate a »

Tranalyzer

Tranalyzer
Tranalyzer2 is a lightweight flow generator and packet analyzer application designed for simplicity, performance and »

softflowd

Softflowd
Softflowd is flow-based network traffic analyser capable of Cisco NetFlow data export. Softflowd semi-statefully tracks »

circos

Circos
Circos is a software package for visualizing data and information. It visualizes data in a circular »

Weka

Weka
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset »

MOA

MOA
MOA is an open source framework for data stream mining. It includes a collection of machine learning algorithms (classification, »