Interpretable Cyber Threat Detection for Enterprise Industrial Networks:
A Computational Design Science Approach

Interpretable Cyber Threat Detection for Enterprise Industrial Networks: A Computational Design Science Approach

4 September 2024

Prabhat Kumar

A. Najmul Islam

Papers citing "Interpretable Cyber Threat Detection for Enterprise Industrial Networks: A Computational Design Science Approach"

4 / 4 papers shown

Title
Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation J. Herbinger Susanne Dandl F. K. Ewald Sofia Loibl Giuseppe Casalicchio TPM 29 3 0 04 Oct 2023
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks Alberto Mozo Ángel González-Prieto Antonio Agustin Pastor Perales Sandra Gómez Canaval Edgar Talavera 47 24 0 30 Jul 2021
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection Zilong Lin Yong-yu Shi Zhi Xue AAML 46 262 0 06 Sep 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 744 21,613 0 22 May 2017