Intelligent Application Protection Mechanism for Transportation in V2C Environment
The emergence of vehicle-to-cloud (V2C) technology is changing cloud computing and transportation ecosystems. V2C technology enables the development of smart services, such as driving assistance and vehicle maintenance, that transmit information to the driver. Recent studies have primarily focused o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9081967/ |
| _version_ | 1818619672011997184 |
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| author | Hyunjin Kim Sang Hong Jinsul Kim Jaecheol Ryou |
| author_facet | Hyunjin Kim Sang Hong Jinsul Kim Jaecheol Ryou |
| author_sort | Hyunjin Kim |
| collection | DOAJ |
| description | The emergence of vehicle-to-cloud (V2C) technology is changing cloud computing and transportation ecosystems. V2C technology enables the development of smart services, such as driving assistance and vehicle maintenance, that transmit information to the driver. Recent studies have primarily focused on services. To date, there has not been sufficient research on security functions to detect abnormal behaviors on virtual application. If an abnormal behavior occurs in the application, the service not only notices the wrong information to driver, but also affects the transportation system around the vehicle. To defend against distributed denial of service (DDoS) attacks, system resources should be monitored constantly. However, continuous monitoring is difficult because V2C services change dynamically according to the service environment. In addition, rule-based or supervised monitoring is impossible for each of the numerous services provided by a cloud computing center. In this paper, we propose an intelligent application protection mechanism for smart vehicle services in a V2C environment that detects abnormal behavior through image-based system resource monitoring using artificial intelligence (ISRM-AI) to improve cloud vehicle service security. The ISRM-AI generates images about system information such as CPU, network, memory on V2C cloud services. Also, the mechanism analyzes the status using a convolutional neural network (CNN) to detect abnormal behavior of the each services. We constructed a service environment to test the performance of the proposed mechanism. In addition, we simulated the proposed mechanism's ability to detect DDoS attacks using real attack data. The proposed mechanism guarantees the reliability of a smart service by enhancing the security of the V2C environment. |
| first_indexed | 2024-12-16T17:41:12Z |
| format | Article |
| id | doaj.art-478bbfbd9f5c400b98e0336c34947fb6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:41:12Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-478bbfbd9f5c400b98e0336c34947fb62022-12-21T22:22:36ZengIEEEIEEE Access2169-35362020-01-018867778678710.1109/ACCESS.2020.29912739081967Intelligent Application Protection Mechanism for Transportation in V2C EnvironmentHyunjin Kim0https://orcid.org/0000-0003-2461-9935Sang Hong1Jinsul Kim2https://orcid.org/0000-0002-2433-4473Jaecheol Ryou3Department of Computer Engineering, Chungnam National University, Daejeon, South KoreaDepartment of Computer Science, School of Business, Saint Leo University, St Leo, FL, USASchool of Electronics and Computer Engineering, Chonnam National University, Gwangju, South KoreaDepartment of Computer Engineering, Chungnam National University, Daejeon, South KoreaThe emergence of vehicle-to-cloud (V2C) technology is changing cloud computing and transportation ecosystems. V2C technology enables the development of smart services, such as driving assistance and vehicle maintenance, that transmit information to the driver. Recent studies have primarily focused on services. To date, there has not been sufficient research on security functions to detect abnormal behaviors on virtual application. If an abnormal behavior occurs in the application, the service not only notices the wrong information to driver, but also affects the transportation system around the vehicle. To defend against distributed denial of service (DDoS) attacks, system resources should be monitored constantly. However, continuous monitoring is difficult because V2C services change dynamically according to the service environment. In addition, rule-based or supervised monitoring is impossible for each of the numerous services provided by a cloud computing center. In this paper, we propose an intelligent application protection mechanism for smart vehicle services in a V2C environment that detects abnormal behavior through image-based system resource monitoring using artificial intelligence (ISRM-AI) to improve cloud vehicle service security. The ISRM-AI generates images about system information such as CPU, network, memory on V2C cloud services. Also, the mechanism analyzes the status using a convolutional neural network (CNN) to detect abnormal behavior of the each services. We constructed a service environment to test the performance of the proposed mechanism. In addition, we simulated the proposed mechanism's ability to detect DDoS attacks using real attack data. The proposed mechanism guarantees the reliability of a smart service by enhancing the security of the V2C environment.https://ieeexplore.ieee.org/document/9081967/Vehicle to cloudV2C servicecloud computingdetection mechanismtransportationartificial intelligence |
| spellingShingle | Hyunjin Kim Sang Hong Jinsul Kim Jaecheol Ryou Intelligent Application Protection Mechanism for Transportation in V2C Environment IEEE Access Vehicle to cloud V2C service cloud computing detection mechanism transportation artificial intelligence |
| title | Intelligent Application Protection Mechanism for Transportation in V2C Environment |
| title_full | Intelligent Application Protection Mechanism for Transportation in V2C Environment |
| title_fullStr | Intelligent Application Protection Mechanism for Transportation in V2C Environment |
| title_full_unstemmed | Intelligent Application Protection Mechanism for Transportation in V2C Environment |
| title_short | Intelligent Application Protection Mechanism for Transportation in V2C Environment |
| title_sort | intelligent application protection mechanism for transportation in v2c environment |
| topic | Vehicle to cloud V2C service cloud computing detection mechanism transportation artificial intelligence |
| url | https://ieeexplore.ieee.org/document/9081967/ |
| work_keys_str_mv | AT hyunjinkim intelligentapplicationprotectionmechanismfortransportationinv2cenvironment AT sanghong intelligentapplicationprotectionmechanismfortransportationinv2cenvironment AT jinsulkim intelligentapplicationprotectionmechanismfortransportationinv2cenvironment AT jaecheolryou intelligentapplicationprotectionmechanismfortransportationinv2cenvironment |