| Title | A quantifiable Attack-Defense Trees model for APT attack |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Fei, Y., Ning, J., Jiang, W. |
| Conference Name | 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) |
| Date Published | oct |
| Keywords | advanced persistent threat attacks, advanced persistent threats, analytic hierarchy process, Analytical models, APT attack, Attack-Defense Trees, attack-defense trees model, Buildings, Eigenvalues and eigenfunctions, expert systems, Human Behavior, Metrics, network attack, probability, pubcrawl, Resiliency, Scalability, security, security of data, trees (mathematics) |
| Abstract | In order to deal with APT(Advanced Persistent Threat) attacks, this paper proposes a quantifiable Attack-Defense Tree model. First, the model gives both attack and defense leaf node a variety of security attributes. And then quantifies the nodes through the analytic hierarchy process. Finally, it analyzes the impact of the defense measures on the attack behavior. Through the application of the model, we can see that the quantifiable Attack-Defense Tree model can well describe the impact of defense measures on attack behavior. |
| DOI | 10.1109/IAEAC.2018.8577817 |
| Citation Key | fei_quantifiable_2018 |
A quantifiable Attack-Defense Trees model for APT attack