Katie McConky

According to our database, Katie McConky authored at least 11 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

GAMMA: Graph Attention Model for Multiple Agents to Solve Team Orienteering Problem With Multiple Depots.

Prashant Sankaran, Katie McConky, Moises Sudit, Héctor J. Ortiz-Peña

IEEE Trans. Neural Networks Learn. Syst., November, 2023

2021

Near real-time intrusion alert aggregation using concept-based learning.

Gordon Werner, Shanchieh Jay Yang, Katie McConky

Proceedings of the CF '21: Computing Frontiers Conference, 2021

2019

CAPTURE: Cyberattack Forecasting Using Non-Stationary Features with Time Lags.

Ahmet Okutan, Shanchieh Jay Yang, Katie McConky, Gordon Werner

Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2018

Forecasting cyberattacks with incomplete, imbalanced, and insignificant data.

Ahmet Okutan, Gordon Werner, Shanchieh Jay Yang, Katie McConky

Cybersecur., 2018

Forecasting Cyber Attacks with Imbalanced Data Sets and Different Time Granularities.

Ahmet Okutan, Shanchieh Jay Yang, Katie McConky

CoRR, 2018

Leveraging Intra-Day Temporal Variations to Predict Daily Cyberattack Activity.

Gordon Werner, Shanchieh Yang, Katie McConky

Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018

2017

Time series forecasting of cyber attack intensity.

Gordon Werner, Shanchieh Jay Yang, Katie McConky

Proceedings of the 12th Annual Conference on Cyber and Information Security Research, 2017

Predicting cyber attacks with bayesian networks using unconventional signals.

Ahmet Okutan, Shanchieh Jay Yang, Katie McConky

Proceedings of the 12th Annual Conference on Cyber and Information Security Research, 2017

POSTER: Cyber Attack Prediction of Threats from Unconventional Resources (CAPTURE).

Ahmet Okutan, Gordon Werner, Katie McConky, Shanchieh Jay Yang

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2012

Improving event co-reference by context extraction and dynamic feature weighting.

Katie McConky, Rakesh Nagi, Moises Sudit, William Hughes

Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2012

2011

Significant information encapsulation and valence exploitation (SIEVE) for discovery.

Katie McConky, Rakesh Nagi, Moises Sudit, William J. Rose, Gary J. Katz

Proceedings of the 14th International Conference on Information Fusion, 2011