Nina H. Fefferman

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 13

Top Topics

Anomaly Detection

Infectious Disease

Complex Networks

Top Venues

EURASIP J. Inf. Secur.

Publications

Amanda Bleichrodt, Lydia Bourouiba, Gerardo Chowell, Eric T. Lofgren, J. Michael Reed, Sadie J. Ryan, Nina H. Fefferman
Assembling ensembling: An adventure in approaches across disciplines. CoRR (2024)
Brittany Story, Patrick Gillespie, Graham Derryberry, Elizabeth P. Derryberry, Nina H. Fefferman, Vasileios Maroulas
DialectDecoder: Human/machine teaming for bird song classification and anomaly detection. Ecol. Informatics 82 (2024)
John S. McAlister, Nina H. Fefferman
Insights into the Structured Coordination Game with Neutral Options through Simulation. CoRR (2024)
Iacopo Iacopini, Jennifer R. Foote, Nina H. Fefferman, Elizabeth P. Derryberry, Matthew J. Silk
Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication. CoRR (2023)
Jing Jiao, Gonzalo P. Suárez, Nina H. Fefferman
How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy. PLoS Comput. Biol. 17 (6) (2021)
Elizabeth A. Hobson, Matthew J. Silk, Nina H. Fefferman, Daniel B. Larremore, Puck Rombach, Saray Shai, Noa Pinter-Wollman
A guide to choosing and implementing reference models for social network analysis. CoRR (2020)
Gonzalo P. Suárez, Lazaros K. Gallos, Nina H. Fefferman
A Case Study in Tailoring a Bio-InspiredCyber-Security Algorithm: DesigningAnomaly Detection for Multilayer Networks. J. Cyber Secur. Mobil. 8 (1) (2019)
Gonzalo P. Suárez, Lazaros K. Gallos, Nina H. Fefferman
A Case Study in Tailoring a Bio-Inspired Cyber-Security Algorithm: Designing Anomaly Detection for Multilayer Networks. IEEE Symposium on Security and Privacy Workshops (2018)
Lazaros K. Gallos, Maciej Korczynski, Nina H. Fefferman
Anomaly detection through information sharing under different topologies. EURASIP J. Inf. Secur. 2017 (2017)
Deborah A. Fields, Yasmin B. Kafai, Michael T. Giang, Nina H. Fefferman, Jacqueline Wong
Plagues and people: engineering player participation and prevention in a virtual epidemic. FDG (2017)
Yasmin B. Kafai, Deborah A. Fields, Michael T. Giang, Nina H. Fefferman, Jen Sun, Daniel Kunka, Jacqueline Wong
Designing for Massive Engagement in a Tween Community: Participation, Prevention, and Philanthropy in a Virtual Epidemic. IDC (2017)
Maciej Korczynski, Ali Hamieh, Jun Ho Huh, Henrik Holm, S. Raj Rajagopalan, Nina H. Fefferman
Hive oversight for network intrusion early warning using DIAMoND: a bee-inspired method for fully distributed cyber defense. IEEE Commun. Mag. 54 (6) (2016)
Saurabh Verma, Ali Hamieh, Jun Ho Huh, Henrik Holm, Siva Raj Rajagopalan, Maciej Korczynski, Nina H. Fefferman
Stopping Amplified DNS DDoS Attacks through Distributed Query Rate Sharing. ARES (2016)
Lazaros K. Gallos, Nina H. Fefferman
Simple and efficient self-healing strategy for damaged complex networks. CoRR (2015)
Maciej Korczynski, Ali Hamieh, Jun Ho Huh, Henrik Holm, S. Raj Rajagopalan, Nina H. Fefferman
DIAMoND: Distributed Intrusion/Anomaly Monitoring for Nonparametric Detection. ICCCN (2015)
Lazaros K. Gallos, Nina H. Fefferman
Revealing effective classifiers through network comparison. CoRR (2014)
Eric Lofgren, Nina H. Fefferman, Meena Doshi, Elena N. Naumova
Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression. BioSurveillance (2007)
Nina H. Fefferman, Lainie M. Fefferman
Mathematical Macrobiology: An Unexploited Opportunity in High School Education. BioMath in the Schools (2005)