Shanchieh Jay Yang | DeepAI

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Featured Co-authors

Sicco Verwer
23 publications
Giovanni Apruzzese
15 publications
Azqa Nadeem
6 publications
Ahmet Okutan
6 publications
Nathan D. Cahill
5 publications
Stephen Moskal
5 publications
Christopher Sweet
4 publications
Andrea Corsini
3 publications
Ayush Goel
2 publications
Haitao Du
2 publications
Reza Fayyazi
1 publication

∙ 08/28/2023

Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?

Machine learning (ML) has become increasingly popular in network intrusi...

0 Andrea Corsini, et al. ∙

∙ 06/24/2023

On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions

The volume, variety, and velocity of change in vulnerabilities and explo...

0 Reza Fayyazi, et al. ∙

∙ 12/28/2022

HeATed Alert Triage (HeAT): Transferrable Learning to Extract Multistage Attack Campaigns

With growing sophistication and volume of cyber attacks combined with co...

0 Stephen Moskal, et al. ∙

∙ 07/06/2021

SAGE: Intrusion Alert-driven Attack Graph Extractor

Attack graphs (AG) are used to assess pathways availed by cyber adversar...

0 Azqa Nadeem, et al. ∙

∙ 06/15/2021

On the Evaluation of Sequential Machine Learning for Network Intrusion Detection

Recent advances in deep learning renewed the research interests in machi...

0 Andrea Corsini, et al. ∙

∙ 03/25/2021

Near Real-time Learning and Extraction of Attack Models from Intrusion Alerts

Critical and sophisticated cyberattacks often take multitudes of reconna...

0 Shanchieh Jay Yang, et al. ∙

∙ 02/18/2020

Cyberattack Action-Intent-Framework for Mapping Intrusion Observables

The techniques and tactics used by cyber adversaries are becoming more s...

0 Stephen Moskal, et al. ∙

∙ 02/18/2020

Framework to Describe Intentions of a Cyber Attack Action

The techniques and tactics used by cyber adversaries are becoming more s...

0 Stephen Moskal, et al. ∙

∙ 08/03/2019

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks

Recreating cyber-attack alert data with a high level of fidelity is chal...

1 Christopher Sweet, et al. ∙

∙ 09/05/2018

Probabilistic Modeling and Inference for Obfuscated Cyber Attack Sequences

A key element in defending computer networks is to recognize the types o...

0 Haitao Du, et al. ∙

∙ 03/26/2018

Forecasting Cyber Attacks with Imbalanced Data Sets and Different Time Granularities

If cyber incidents are predicted a reasonable amount of time before they...

0 Ahmet Okutan, et al. ∙

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