Automated cyber-attack scenario generation using the symbolic simulation

Authors:
Jong-Keun Lee;Min-Woo Lee;Jang-Se Lee;Sung-Do Chi;Syng-Yup Ohn
Affiliations:
Cartronics R&D Center, Hyundai MOBIS, Korea;Cooperation of Sena, Korea;The Division of Information Technology Engineering, Korea Maritime University, Korea;The Department of Computer Engineering, Hangkong University, Korea;The Department of Computer Engineering, Hangkong University, Korea
Venue:
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Year:
2004

Citing 9
Cited 0

Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems

Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
Model-based reasoning methodology using the symbolic DEVS simulation

Transactions of the Society for Computer Simulation International
The process of network security: designing and managing a safe network

The process of network security: designing and managing a safe network
Intrusion Detection

Intrusion Detection
Theory of Modeling and Simulation

Theory of Modeling and Simulation
Guest Editor's Introduction: The Challenge of Building Survivable Information-Intensive Systems

Computer
Are We Forgetting the Risks of Information Technology?

Computer
Network Security Modeling and Cyber Attack Simulation Methodology

ACISP '01 Proceedings of the 6th Australasian Conference on Information Security and Privacy
SECUSIM: A Tool for the Cyber-Attack Simulation

ICICS '01 Proceedings of the Third International Conference on Information and Communications Security

Quantified Score

Hi-index	0.00

Visualization

Abstract

The major objective of this paper is to propose the automated cyber-attack scenario generation methodology based on the symbolic simulation environment. Information Assurance is to assure the reliability and availability of information by preventing from attack. Cyber-attack simulation is one of noticeable methods for analyzing vulnerabilities in the information assurance field, which requires variety of attack scenarios. To do this, we have adopted the symbolic simulation that has extended a conventional numeric simulation. This study can 1) not only generate conventional cyber-attack scenarios but 2) generate cyber-attack scenarios still unknown, and 3) be applied to establish the appropriate defense strategies by analyzing generated cyber-attack. Simulation test performed on sample network system will illustrate our techniques.