Autoencoder-Based Anomaly Detection with Intrusion Scoring for Smart Factory Environments
- Title
- Autoencoder-Based Anomaly Detection with Intrusion Scoring for Smart Factory Environments
- Author
- 조인휘
- Keywords
- Anomaly detection; Intrusion detection; Scoring; Autoencoder; DBSCAN; Smart factory; Industrial IoT
- Issue Date
- 2019-02
- Publisher
- Springer Verlag
- Citation
- Communications in Computer and Information Science, v. 931, Page. 414-423
- Abstract
- The industry 4.0 and Industrial IoT is leading new industrial revolution. Industrial IoT technologies make more reliable and sustainable products than traditional products in automation industry. Industrial IoT devices transfer data between one another. This concept is need for advanced connectivity and intelligent security services. We focus on the security threat in Industrial IoT. The general security systems enable to detect normal security threat. However, it is not easy to detect anomaly threat or network intrusion or new hacking methods. In the paper, we propose autoencoder (AE) using the deep learning based anomaly detection with invasion scoring for the smart factory environments. We have analysis F-Score and accuracy between the Density Based Spatial Clustering of Applications with Noise (DBSCAN) and the autoencoder using the KDD data set. We have used real data from Korea steel companies and the collected data is general data such as temperature, stream flow, the shocks of machines, and etc. Finally, experiments show that the proposed autoencoder model is better than DBSCAN. © Springer Nature Singapore Pte Ltd. 2019.
- URI
- https://link.springer.com/chapter/10.1007%2F978-981-13-5907-1_44https://repository.hanyang.ac.kr/handle/20.500.11754/108274
- ISBN
- 978-981135906-4; 978-981-13-5907-1
- ISSN
- 1865-0929
- DOI
- 10.1007/978-981-13-5907-1_44
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML