Abstract
Advances in network technology have enhanced the concern for network security issues. In order to address the problem that hopping graph are vulnerable to external attacks (e.g., the changing rules of fixed graphs are more easily grasped by attackers) and the challenge of achieving both interactivity and randomness in a network environment, this paper proposed a scheme for a dynamic graph based on chaos and cryptographic random mapping. The scheme allows hopping nodes to compute and obtain dynamically random and uncorrelated graph of other nodes independently of each other without additional interaction after the computational process of synchronous mirroring. We first iterate through the chaos algorithm to generate random seed parameters, which are used as input parameters for the encryption algorithm; secondly, we execute the encryption algorithm to generate a ciphertext of a specified length, which is converted into a fixed point number; and finally, the fixed point number is mapped to the network parameters corresponding to each node. The hopping nodes are independently updated with the same hopping map at each hopping period, and the configuration of their own network parameters is updated, so that the updated graph can effectively prevent external attacks. Finally, we have carried out simulation experiments and related tests on the proposed scheme and demonstrated that the performance requirements of the random graphs can be satisfied in both general and extreme cases.
Reference25 articles.
1. Jajodia, S., Ghosh, A.K., Swarup, V., Wang, C., and Wang, X.S. (2011). Moving Target Defense: Creating Asymmetric Uncertainty for Cyber Threats, Springer Publishing Company.
2. Moving-target defenses for computer networks;IEEE Secur. Priv.,2014
3. A Cyber Deception Defense Method Based on Signal Game to Deal with Network Intrusion;Secur. Commun. Netw.,2022
4. Research and development of moving target defense technology;J. Comput. Res. Dev.,2016
5. Maleki, H., Valizadeh, S., Koch, W., Bestavros, A., and van Dijk, M. (2016, January 24). Markov modeling of moving target defense games. Proceedings of the 2016 ACM Workshop on Moving Target Defense, Vienna, Austria.