Liu, C.
, Singhal, A.
and Wijesekera, D.
(2017),
A Layered Graphical Model for Mission Attack Impact Analysis, 2017 IEEE Conference on Communications and Network Security (CNS), Las Vegas, NV, US, [online], https://doi.org/10.1109/CNS.2017.8228706, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=924102
(Accessed April 19, 2024)
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A Layered Graphical Model for Mission Attack Impact Analysis
Published
Author(s)
Changwei Liu, , Duminda Wijesekera
Abstract
In this paper, we describe a layered graphical model to analyze the mission impacts of attacks for forensic investigation. Our model has three layers: the upper layer models operational tasks and their dependencies; the middle layer reconstructs attack scenarios by using a forensic tool to find the causality between items of evidence; the lower level reconstructs potentially missing attack steps due to evidence missing from traditional forensic analysis methods. Based on the graphs produced from the three layers, our model computes mission impacts by using NIST NVD or forensics investigators' estimates. The case study shows our layered graphical model's usability, which can be useful for both forensic analysis and hardening the enterprise infrastructure.Proceedings Title
2017 IEEE Conference on Communications and Network Security (CNS)
Conference Dates
October 9-11, 2017
Conference Location
Las Vegas, NV, US
Pub Type
Conferences
Download Paper
Keywords
Mission Impact, Forensics Analysis, Cloud Computing, Attack Graphs
Citation
Created December 20, 2017, Updated October 12, 2021