Biblio

Filters: Author is Li, Huan  [Clear All Filters]
2022-08-26
Lv, Huiying, Zhang, Yuan, Li, Huan, Chang, Wenjun.  2021.  Security Assessment of Enterprise Networks Based on Analytic Network Process and Evidence Theory. 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM). :305—313.

Network security has always been the most important of enterprise informatization construction and development, and the security assessment of network system is the basis for enterprises to make effective security defense strategies. Aiming at the relevance of security factors and subjectivity of evaluation results in the process of enterprise network system security assessment, a security assessment method combining Analytic Network Process and evidence theory is proposed. Firstly, we built a complete security assessment index system and network analysis structure model for enterprise network, and determined the converged security index weights by calculating hypermatrix, limit hypermatrix and stable limit hypermatrix; then, we used the evidence theory on data fusion of the evaluation opinions of multiple experts to eliminate the conflict between evidences. Finally, according to the principle of maximum membership degree, we realized the assessment of enterprise network security level using weighted average. The example analysis showed that the model not only weighed the correlation influence among the security indicators, but also effectively reduced the subjectivity of expert evaluation and the fuzziness and uncertainty in qualitative analysis, which verified the effectiveness of the model and method, and provided an important basis for network security management.

2020-01-21
Yu, Yang, Hou, Jing, Li, Huan.  2019.  Study on Continuous Internal Audit System Modeling and Application. Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing. :1–6.
Under the information environment the development of Continuous internal audit business model is inevitable and it will generally become the mainstream model. Based on the understanding of internal audit development in enterprises, it's found that most of current internal audit systems stay at post audit as an auxiliary tool of internal auditors in the auditing process, which hastens the application of continuous internal audit. Emerging computer technology is combined in this paper to build an universal continuous internal audit model, which is divided into four phases, based on internal audit system. Finally, based on the tracking error of index fund, this paper makes an applied research on the framework of the established continuous internal audit system.
2018-05-01
Li, Huan, Guo, Chen, Wang, Donglin.  2017.  Hybrid Sorting Method for Successive Cancellation List Decoding of Polar Codes. Proceedings of the 2017 the 7th International Conference on Communication and Network Security. :23–26.
This paper proposes a hybrid metric sorting method (HMS) of successive cancellation list decoders for polar codes, which plays a critical role in decoding process. We review the state-of-the-art metric sorting methods and combine the advantages of them to generate the proposed method. Due to the optimized architecture, the proposed HMS method reduces the number of comparing stages effectively with little increase in comparisons. Evaluation results show that about 25 percent of comparing stages can be removed by HMS, compared with state-of-the-art methods. The proposed method enjoys a latency reduction for hardware implementation.
2018-04-30
Li, Huan, Guo, Chen, Wang, Donglin.  2017.  Hybrid Sorting Method for Successive Cancellation List Decoding of Polar Codes. Proceedings of the 2017 the 7th International Conference on Communication and Network Security. :23–26.

This paper proposes a hybrid metric sorting method (HMS) of successive cancellation list decoders for polar codes, which plays a critical role in decoding process. We review the state-of-the-art metric sorting methods and combine the advantages of them to generate the proposed method. Due to the optimized architecture, the proposed HMS method reduces the number of comparing stages effectively with little increase in comparisons. Evaluation results show that about 25 percent of comparing stages can be removed by HMS, compared with state-of-the-art methods. The proposed method enjoys a latency reduction for hardware implementation.