Detailed Information on Publication Record
2020
Graph-based models in prediction and projection of cyber attacks
HUSÁK, MartinBasic information
Original name
Graph-based models in prediction and projection of cyber attacks
Authors
HUSÁK, Martin
Edition
The 1st International Workshop on Graph-based network Security, 2020
Other information
Language
English
Type of outcome
Vyžádané přednášky
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Organization
Ústav výpočetní techniky – Repository – Repository
Keywords in English
graph;prediction;cybersecurity
Links
EF16_019/0000822, research and development project.
Změněno: 11/9/2020 01:13, RNDr. Daniel Jakubík
Abstract
V originále
Predictive analysis allows next-generation cyber defense that is more proactive than current approaches based solely on intrusion detection. In this talk, we will discuss various approaches to predicting and projecting cyber attacks. Graph-based models are dominating the field since the foundation of this research area. Attack graphs were used to traverse through the attacker’s actions and project the continuation of an ongoing attack. Later, attack graphs were combined with Bayesian networks and Markov models to reflect the probabilistic nature of predictions and overcome uncertainties in observation of attack steps. However, there are still open issues, such as how to create such models and evaluate the predictions. The talk will shed light on using graphs in this research area and summarize resolved and open issues.