SCoRMiner: Automated Discovery of Network Service and Application Dependencies using a graph mining approach-Reference-Cited by-同舟云学术

SCoRMiner: Automated Discovery of Network Service and Application Dependencies using a graph mining approach

Published:2020 Issue: Volume:176 Page:985-994
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Slimani Sarra,Hamrouni Tarek,Charrada Faouzi Ben

Publisher

Elsevier BV

Subject

General Engineering

Reference28 articles.

1. A. Inokuchi, T.W., Motoda, H., 2000. An apriori-based algorithm for mining frequent substructures from graph data, in: Proceedings of PKDD, pp. 13–23.

2. Arthur-Durett, K., Carroll, T.E., Chikkagoudar, S., 2018. Discovering significant co-occurrences to characterize network behaviors, in: 20th International Conference on Human Interface and the Management of Information. Interaction, Visualization, and Analytics, HIMI, Las Vegas, NV, USA, pp. 609–623.

3. Ayed, R., HACID, M., HAQUE, R., 2016. A list of fsm algorithms and available implementations in centralized graph transaction databases. Technical Report.

4. An updated dashboard of complete search fsm implementations in centralized graph transaction databases;Ayed;Journal of Intelligent Information Systems,2019

5. Bahl, P., Chandra, R., Greenberg, A., Kandula, S., Maltz, D., Zhang, M., 2007. Towards highly reliable enterprise network services via inference of multi-level dependencies, in: SIGCOMM.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of Device Dependencies Using Link Prediction;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06

2. Fenrir: Blockchain-Based Inter-Company App-Store for the Automotive Industry;IEEE Access;2022