8 citations · 8 across the 2 of their papers we have counts for
6 papers
Near Real-time Learning and Extraction of Attack Models from Intrusion Alerts
Shanchieh Jay Yang, Ahmet Okutan, Gordon Werner +3
Critical and sophisticated cyberattacks often take multitudes of reconnaissance, exploitations, and obfuscation techniques to penetrate through well protected enterprise networks.…
Cyberattack Action-Intent-Framework for Mapping Intrusion Observables
Stephen Moskal, Shanchieh Jay Yang
The techniques and tactics used by cyber adversaries are becoming more sophisticated, ironically, as defense getting stronger and the cost of a breach continuing to rise. Understan…
On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks
Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang
Recreating cyber-attack alert data with a high level of fidelity is challenging due to the intricate interaction between features, non-homogeneity of alerts, and potential for rare…
Probabilistic Modeling and Inference for Obfuscated Cyber Attack Sequences
Haitao Du, Shanchieh Jay Yang
A key element in defending computer networks is to recognize the types of cyber attacks based on the observed malicious activities. Obfuscation onto what could have been observed o…
Toward Intelligent Autonomous Agents for Cyber Defense: Report of the 2017 Workshop by the North Atlantic Treaty Organization (NATO) Research Group IST-152-RTG
Alexander Kott, Ryan Thomas, Martin Drašar +18
This report summarizes the discussions and findings of the Workshop on Intelligent Autonomous Agents for Cyber Defence and Resilience organized by the NATO research group IST-152-R…
Forecasting Cyber Attacks with Imbalanced Data Sets and Different Time Granularities
Ahmet Okutan, Shanchieh Jay Yang, Katie McConky
If cyber incidents are predicted a reasonable amount of time before they occur, defensive actions to prevent their destructive effects could be planned. Unfortunately, most of the…