New Insights into Approaches to Evaluating Intention and Path for Network Multistep Attacks
Joint Authors
Zhang, Yuchen
Hu, Hao
Zhang, Hongqi
Liu, Yuling
Yang, Ying-jie
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The attack graph (AG) is an abstraction technique that reveals the ways an attacker can use to leverage vulnerabilities in a given network to violate security policies.
The analyses developed to extract security-relevant properties are referred to as AG-based security evaluations.
In recent years, many evaluation approaches have been explored.
However, they are generally limited to the attacker’s “monotonicity” assumption, which needs further improvements to overcome the limitation.
To address this issue, the stochastic mathematical model called absorbing Markov chain (AMC) is applied over the AG to give some new insights, namely, the expected success probability of attack intention (EAIP) and the expected attack path length (EAPL).
Our evaluations provide the preferred mitigating target hosts and the vulnerabilities patching prioritization of middle hosts.
Tests on the public datasets DARPA2000 and Defcon’s CTF23 both verify that our evaluations are available and reliable.
American Psychological Association (APA)
Hu, Hao& Liu, Yuling& Yang, Ying-jie& Zhang, Hongqi& Zhang, Yuchen. 2018. New Insights into Approaches to Evaluating Intention and Path for Network Multistep Attacks. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1207413
Modern Language Association (MLA)
Hu, Hao…[et al.]. New Insights into Approaches to Evaluating Intention and Path for Network Multistep Attacks. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1207413
American Medical Association (AMA)
Hu, Hao& Liu, Yuling& Yang, Ying-jie& Zhang, Hongqi& Zhang, Yuchen. New Insights into Approaches to Evaluating Intention and Path for Network Multistep Attacks. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1207413
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207413