Risk Data Analysis Based Anomaly Detection of Ship Information System
Due to the vulnerability and high risk of the ship environment, the Ship Information System (SIS) should provide 24 hours of uninterrupted protection against network attacks. Therefore, the corresponding intrusion detection mechanism is proposed for this situation. Based on the collaborative control...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-12-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/11/12/3403 |
| _version_ | 1811305153905557504 |
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| author | Bowen Xing Yafeng Jiang Yuqing Liu Shouqi Cao |
| author_facet | Bowen Xing Yafeng Jiang Yuqing Liu Shouqi Cao |
| author_sort | Bowen Xing |
| collection | DOAJ |
| description | Due to the vulnerability and high risk of the ship environment, the Ship Information System (SIS) should provide 24 hours of uninterrupted protection against network attacks. Therefore, the corresponding intrusion detection mechanism is proposed for this situation. Based on the collaborative control structure of SIS, this paper proposes an anomaly detection pattern based on risk data analysis. An intrusion detection method based on the critical state is proposed, and the corresponding analysis algorithm is given. In the Industrial State Modeling Language (ISML), risk data are determined by all relevant data, even in different subsystems. In order to verify the attack recognition effect of the intrusion detection mechanism, this paper takes the course/roll collaborative control task as an example to carry out simulation verification of the effectiveness of the intrusion detection mechanism. |
| first_indexed | 2024-04-13T08:21:24Z |
| format | Article |
| id | doaj.art-9b11dff444e94e0383681f12ab8350ff |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T08:21:24Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9b11dff444e94e0383681f12ab8350ff2022-12-22T02:54:39ZengMDPI AGEnergies1996-10732018-12-011112340310.3390/en11123403en11123403Risk Data Analysis Based Anomaly Detection of Ship Information SystemBowen Xing0Yafeng Jiang1Yuqing Liu2Shouqi Cao3College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, ChinaDue to the vulnerability and high risk of the ship environment, the Ship Information System (SIS) should provide 24 hours of uninterrupted protection against network attacks. Therefore, the corresponding intrusion detection mechanism is proposed for this situation. Based on the collaborative control structure of SIS, this paper proposes an anomaly detection pattern based on risk data analysis. An intrusion detection method based on the critical state is proposed, and the corresponding analysis algorithm is given. In the Industrial State Modeling Language (ISML), risk data are determined by all relevant data, even in different subsystems. In order to verify the attack recognition effect of the intrusion detection mechanism, this paper takes the course/roll collaborative control task as an example to carry out simulation verification of the effectiveness of the intrusion detection mechanism.https://www.mdpi.com/1996-1073/11/12/3403cybersecurityintrusion detectionrisk data analysissignal attackship information system |
| spellingShingle | Bowen Xing Yafeng Jiang Yuqing Liu Shouqi Cao Risk Data Analysis Based Anomaly Detection of Ship Information System Energies cybersecurity intrusion detection risk data analysis signal attack ship information system |
| title | Risk Data Analysis Based Anomaly Detection of Ship Information System |
| title_full | Risk Data Analysis Based Anomaly Detection of Ship Information System |
| title_fullStr | Risk Data Analysis Based Anomaly Detection of Ship Information System |
| title_full_unstemmed | Risk Data Analysis Based Anomaly Detection of Ship Information System |
| title_short | Risk Data Analysis Based Anomaly Detection of Ship Information System |
| title_sort | risk data analysis based anomaly detection of ship information system |
| topic | cybersecurity intrusion detection risk data analysis signal attack ship information system |
| url | https://www.mdpi.com/1996-1073/11/12/3403 |
| work_keys_str_mv | AT bowenxing riskdataanalysisbasedanomalydetectionofshipinformationsystem AT yafengjiang riskdataanalysisbasedanomalydetectionofshipinformationsystem AT yuqingliu riskdataanalysisbasedanomalydetectionofshipinformationsystem AT shouqicao riskdataanalysisbasedanomalydetectionofshipinformationsystem |