What IS IT ABOUT?
Big Data Frameworks
We are using SQL and No-SQL frameworks for Big Data Analytics, including stream- and batch-based networking data processing
We are building and testing novel Machine-Learning based approaches for large-scale network measurements analytics
We are conceiving new benchmarks for comparing the performance of big data stream analysis and big network traffic monitoring solutions
We are developing novel techniques for large-scale network traffic monitoring and analysis, including network security and anomaly detection
Big-DAMA Use cases
Cyber attackers are continuously looking for new ways to access valuable information and disrupt services. Big-DAMA builds and evaluates specific Big Data Analytics frameworks and techniques for the purpose of detection and characterization of network attacks, considering both on-line data analysis, as well as the
extraction of relevant patterns for data forensics analysis.
Despite the long literature and assorted list of proposed systems for performing automatic detection and diagnosis of anomalies in large-scale operational networks, Internet Service Providers (ISPs) are still looking for a Holy Grail which might effectively detect and diagnose the ever-growing number of network traffic anomalies they face in their daily business. Big-DAMA is conceiving a novel framework for detection and diagnosis of network traffic anomalies.
Detection of 0-day attacks, based on unsupervised analysis techniques
On-line detection and classification of network and service anomalies
Internet performance evaluation through large-scale measurements analysis
Using machine learning techniques to monitor networks from a user-centric perspective
Félix Iglesias Vázquez
Sami Ben Mariem
International Collaboration Institutions
Big-DAMA has active collaboration with 3 top-level international research institutions
Big-DAMA @NeurIPS 2018
The Big-DAMA team would be present @NeurIPS 2018 in Montreal, to present the paper “Remember the Good, Forget the Bad, do it Fast: Continuous Learning over Streaming Data”, at the workshop on Continual Learning.
Big-DAMA Team Reaches 50+ Publications
The Big-DAMA project has already published more than 50 scientific papers on the topic of Big Data Analytics and Machine Learning for Networking, and more are coming!
ITC 2018, Best Paper Award
Andrea got the Best Student Paper Award at ITC 2018!
SIGCOMM 2018, 2nd Place @SRC
Gonzalo got the second place at the SIGCOMM SRC competition (undergraduate) for his work on Deep Learning for TMA.
Big-DAMA is TMA Conference 2018 Supporter
Big-DAMA is proudly gold sponsor for TMA Conference 2018
Big-DAMA Workshop @SIGCOMM 2018
We are organizing the 2nd edition of the Big-DAMA workshop on Big Data Analytics and Machine Learning for Data Communication Networks @SIGCOMM 2018
Big-DAMA is SIGCOMM 2017 Supporter
Big-DAMA is proudly bronze sponsor for SIGCOMM 2017
Big-DAMA Workshop @SIGCOMM 2017
We are organizing a new workshop on Big Data Analytics and Machine Learning for Data Communication Networks @SIGCOMM 2017
Big-DAMA paper @IEEE COMMAG 2017
“Traffic Analysis with Off-the-Shelf Hardware: Challenges and Lessons Learned”
Big-DAMA Plenary Meeting @AIT
The second plenary meeting will take place @AIT Vienna on the 3th and 4th November 2016.
Big-DAMA paper @CoNEXT 2016
“Machine Learning based Prediction of Internet Path Dynamics”
Big-DAMA paper @CCS 2016
“(Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data”
Big-DAMA paper @MOBICOM 2016
“When Smartphones become the Enemy: Unveiling Mobile Apps Anomalies through Clustering Techniques”
Big-DAMA paper @ITC 2016
“CLUE: Clustering for Mining Web URLs”
Big-DAMA papers @TRAC 2016
We are presenting 3 papers at the IEEE TRAC workshop.
Big-DAMA @WWTF Science Gala-Dinner
Big-DAMA was presented to the Viennese research and local authorities at the yearly WWTF science gala dinner.
Big-DAMA journal paper @IEEE TNSM
“Grasping Popular Applications in Cellular Networks with Big Data Analytics Platforms”
Big-DAMA journal paper @COMNET
“DBStream: a Holistic Approach to Large-scale Network Traffic Monitoring and Analysis”
Big-DAMA @SIGCOMM 2016
We are presenting the Big-DAMA project at the ACM SIGCOMM LANCOMM workshop 2016 in August!
Big-DAMA paper @TMA 2016
“Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks”