Invention Application
- Patent Title: PREDICTING ATTACKS BASED ON PROBABILISTIC GAME-THEORY
- Patent Title (中): 基于概率游戏理论预测攻击
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Application No.: US13478290Application Date: 2012-05-23
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Publication No.: US20130318615A1Publication Date: 2013-11-28
- Inventor: Mihai Christodorescu , Dmytro Korzhyk , Reiner Sailer , Douglas L. Schales , Marc Ph. Stoecklin , Ting Wang
- Applicant: Mihai Christodorescu , Dmytro Korzhyk , Reiner Sailer , Douglas L. Schales , Marc Ph. Stoecklin , Ting Wang
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Main IPC: G06F21/00
- IPC: G06F21/00 ; G06F17/10

Abstract:
Methods for determining cyber-attack targets include collecting and storing network event information from sensors to extract information regarding an attacker; forming an attack scenario tree that encodes network topology and vulnerability information including paths from known compromised nodes to a set of potential targets; calculating a likelihood for each of the paths using a processor; calculating a probability distribution for the set of potential targets to determine which potential targets are most likely pursued by the attacker; calculating a probability distribution over a set of nodes and node vulnerability types already accessed by the attacker; determining a network graph edge to remove which minimizes a defender's expected uncertainty over the potential targets; and removing the determined network graph edge.
Public/Granted literature
- US08863293B2 Predicting attacks based on probabilistic game-theory Public/Granted day:2014-10-14
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