10 citations · 30 across the 6 of their papers we have counts for
6 papers
What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic
Jeremy Kepner, Hayden Jananthan, Michael Jones +26
Understanding what is normal is a key aspect of protecting a domain. Other domains invest heavily in observational science to develop models of normal behavior to better detect ano…
Anonymized Network Sensing Graph Challenge
Hayden Jananthan, Michael Jones, William Arcand +26
The MIT/IEEE/Amazon GraphChallenge encourages community approaches to developing new solutions for analyzing graphs and sparse data derived from social media, sensor feeds, and sci…
Teaching Network Traffic Matrices in an Interactive Game Environment
Chasen Milner, Hayden Jananthan, Jeremy Kepner +7
The Internet has become a critical domain for modern society that requires ongoing efforts for its improvement and protection. Network traffic matrices are a powerful tool for unde…
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations
Hayden Jananthan, Jeremy Kepner, Michael Jones +25
Expanding the scientific tools available to protect computer networks can be aided by a deeper understanding of the underlying statistical distributions of network traffic and thei…
Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic (Enriquecimiento a gran escala y caracterización cibernética estadística del tráfico de red)
Ivan Kawaminami, Arminda Estrada, Youssef Elsakkary +9
Modern network sensors continuously produce enormous quantities of raw data that are beyond the capacity of human analysts. Cross-correlation of network sensors increases this chal…
Zero Botnets: An Observe-Pursue-Counter Approach
Jeremy Kepner, Jonathan Bernays, Stephen Buckley +22
Adversarial Internet robots (botnets) represent a growing threat to the safe use and stability of the Internet. Botnets can play a role in launching adversary reconnaissance (scann…