This was a joint project of University of Alberta (UofA), Canada and Indian Institute of Technology Indore (IIT Indore), India.

The project included three major components:
1. Global Software Development practices.
2. Advanced software architecture analysis and documentation.
3. A project on data integration and visualization using service oriented architectures.

Global Software Development (GSD) is an advanced version of Distributed Development of Software (DDS) wherein software developers working on a common project are not only located at spatially distant venues, but are also distant in temporal and socio-cultural terms. This implies that developers working on common projects are sufficiently far apart geographically so as to be in substantially different time zones, and live in societies with substantially varying culture and practices. 
To simulate this, 3 teams of IIT Indore collaboratively worked with 3 teams of UofA


The project goal was to develop an aggregator service to collect and fuse evidence of author's research impact and social media. The platform integrated 6 major social and research websites: Google Scholar, SciVerse, Arxiv, Twitter, PubMed and Mendeley.
																	

																		DDoS attacks are very devastating and are rising exponentially with data surge. Sifting through such huge data to prevent attacks using conventional methods is obsolete. Apache Hadoop is an opensource framework to leverage parallel computing. In our project we used sample network data to create a model to corretly label testing data as an attack or not. We used k-means clustering algorithm and MapReduce to achieve this. This work was accepted in International Workshop on Information Systems Security Engineering held in Stockholm, Sweden from June 8-10, 2015. Our work was published in Springer with title "An experience report on scalable implementation of DDoS attack detection"
																	

																		Aim was to design a simple network-based Intrusion Detection System (IDS). We captured network data (packets) in real-time using pcap libraries in Windows OS and analyzed them for malicius content. We also generated statistics (like how many TCP connections were made from one host in a short span) of data transfers occuring with the systems in our network of more than 150 PC's.