Published: August 15, 2013
                    
                            
                Author(s)
                
                        Rui Zhuang,                         Su Zhang,                         A. Bardas,                         Scott DeLoach,                         Xinming Ou,                         Anoop Singhal                
                Conference
                
                    Name: 6th International Symposium on Resilient Control Systems (ISRCS)
                    Dates: 08/13/2013 - 08/15/2013
                    Location: San Francisco, California, United States
                        Citation: Proceedings of the 2013 6th International Symposium on Resilient Control Systems (ISRCS), pp. 162-169
                
                
                        
                        This paper presents a preliminary design for a moving-target defense (MTD) for computer networks to combat an attacker's asymmetric advantage. The MTD system reasons over a set of abstract models that capture the network's configuration and its operational and security goals to select adaptations that maintain the operational integrity of the network. The paper examines both a simple (purely random) MTD system as well as an intelligent MTD system that uses attack indicators to augment adaptation selection. A set of simulation-based experiments show that such an MTD system may in fact be able to reduce an attacker's success likelihood. These results are a preliminary step towards understanding and quantifying the impact of MTDs on computer networks.
                        
                                
                                    This paper presents a preliminary design for a moving-target defense (MTD) for computer networks to combat an attacker's asymmetric advantage. The MTD system reasons over a set of abstract models that capture the network's configuration and its operational and security goals to select adaptations...
                                    
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                                    This paper presents a preliminary design for a moving-target defense (MTD) for computer networks to combat an attacker's asymmetric advantage. The MTD system reasons over a set of abstract models that capture the network's configuration and its operational and security goals to select adaptations that maintain the operational integrity of the network. The paper examines both a simple (purely random) MTD system as well as an intelligent MTD system that uses attack indicators to augment adaptation selection. A set of simulation-based experiments show that such an MTD system may in fact be able to reduce an attacker's success likelihood. These results are a preliminary step towards understanding and quantifying the impact of MTDs on computer networks.
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                                            Keywords
                        
                                adaptive security;                                 moving target;                                 network security                        
                 
            Control Families
            
                    None selected