Visible to the public Relationship Anonymity Evaluation Model Based on Markov Chain

TitleRelationship Anonymity Evaluation Model Based on Markov Chain
Publication TypeConference Paper
Year of Publication2021
AuthorsZhao, Pengyuan, Yang, Shengqi, Chen, Zheng
Conference Name2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)
Keywordsanonymity, Anonymous assessment, attack model, Communication networks, composability, Computational modeling, Computers, Human Behavior, Markov chain, Markov processes, Metrics, Probabilistic logic, Probability distribution, pubcrawl, Receivers, Relationship anonymity, resilience, Resiliency
AbstractIn this paper, we propose a relational anonymous P2P communication network evaluation model based on Markov chain (AEMC), and show how to extend our model to the anonymous evaluation of sender and receiver relationship anonymity when the attacker attacks the anonymous P2P communication network and obtains some information. Firstly, the constraints of the evaluation model (the attacker assumption for message tracing) are specified in detail; then the construction of AEMC anonymous evaluation model and the specific evaluation process are described; finally, the simulation experiment is carried out, and the evaluation model is applied to the probabilistic anonymous evaluation of the sender and receiver relationship of the attacker model, and the evaluation is carried out from the perspective of user (message).
DOI10.1109/AEMCSE51986.2021.00138
Citation Keyzhao_relationship_2021