Research on the application of network security defence in database security services based on deep learning integrated with big data analytics
Every day, more people use the internet to send and receive sensitive information. A lot of confidential data is being transmitted electronically between people and businesses. Cyber-attacks, which are the inevitable result of our growing reliance on digital technology, are a reality that we must fa...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-01-01
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| Series: | International Journal of Intelligent Networks |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666603024000125 |
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| _version_ | 1846157783167139840 |
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| author | Feilu Hang Linjiang Xie Zhenhong Zhang Wei Guo Hanruo Li |
| author_facet | Feilu Hang Linjiang Xie Zhenhong Zhang Wei Guo Hanruo Li |
| author_sort | Feilu Hang |
| collection | DOAJ |
| description | Every day, more people use the internet to send and receive sensitive information. A lot of confidential data is being transmitted electronically between people and businesses. Cyber-attacks, which are the inevitable result of our growing reliance on digital technology, are a reality that we must face today. This paper aims to investigate the impact of Big Data Analytics (BDA) on information security and vice versa. Additionally, an Artificial Neural Network (ANN)-based Deep Learning (DL) method for Anomaly Detection (AD) is presented in this work. To improve AD, the proposed method uses a DL-based detection method, which is used to parse through many collected security events to develop individual event profiles. The paper also investigated how BDA can be used to address Information Security (IS) issues and how existing Big Data technologies can be adapted to improve BDA's security. This study developed a DL-based Security Information System (DL-SIS) using a combination of event identification for data preprocessing and different Artificial Neural Network (ANN) methods. The feasibility and impact of implementing a Big Data Analytics (BDA) system for AD are investigated and addressed in this study. From this study, we learn that BDA systems are highly effective in securing Critical Information Setup from several discrete cyberattacks and that they are currently the best method available. By analyzing the False Positive Rate (FPR), the system facilitates quick action by security analysts in response to cyber threats. DL-SIS had the highest AD accuracy of 99.40% but performed poorly in the high-dimensional dataset. |
| format | Article |
| id | doaj-art-400c65dd1d43435aa24ddfe2942d7c31 |
| institution | Kabale University |
| issn | 2666-6030 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Intelligent Networks |
| spelling | doaj-art-400c65dd1d43435aa24ddfe2942d7c312024-11-25T04:41:52ZengKeAi Communications Co., Ltd.International Journal of Intelligent Networks2666-60302024-01-015101109Research on the application of network security defence in database security services based on deep learning integrated with big data analyticsFeilu Hang0Linjiang Xie1Zhenhong Zhang2Wei Guo3Hanruo Li4Corresponding author.; Information Center of Yunnan Power Grid Co., LTD, Kunming, 650000, Yunnan, ChinaInformation Center of Yunnan Power Grid Co., LTD, Kunming, 650000, Yunnan, ChinaInformation Center of Yunnan Power Grid Co., LTD, Kunming, 650000, Yunnan, ChinaInformation Center of Yunnan Power Grid Co., LTD, Kunming, 650000, Yunnan, ChinaInformation Center of Yunnan Power Grid Co., LTD, Kunming, 650000, Yunnan, ChinaEvery day, more people use the internet to send and receive sensitive information. A lot of confidential data is being transmitted electronically between people and businesses. Cyber-attacks, which are the inevitable result of our growing reliance on digital technology, are a reality that we must face today. This paper aims to investigate the impact of Big Data Analytics (BDA) on information security and vice versa. Additionally, an Artificial Neural Network (ANN)-based Deep Learning (DL) method for Anomaly Detection (AD) is presented in this work. To improve AD, the proposed method uses a DL-based detection method, which is used to parse through many collected security events to develop individual event profiles. The paper also investigated how BDA can be used to address Information Security (IS) issues and how existing Big Data technologies can be adapted to improve BDA's security. This study developed a DL-based Security Information System (DL-SIS) using a combination of event identification for data preprocessing and different Artificial Neural Network (ANN) methods. The feasibility and impact of implementing a Big Data Analytics (BDA) system for AD are investigated and addressed in this study. From this study, we learn that BDA systems are highly effective in securing Critical Information Setup from several discrete cyberattacks and that they are currently the best method available. By analyzing the False Positive Rate (FPR), the system facilitates quick action by security analysts in response to cyber threats. DL-SIS had the highest AD accuracy of 99.40% but performed poorly in the high-dimensional dataset.http://www.sciencedirect.com/science/article/pii/S2666603024000125Big data analysisDeep learningAnomaly detectionFPRAccuracySecurity information system |
| spellingShingle | Feilu Hang Linjiang Xie Zhenhong Zhang Wei Guo Hanruo Li Research on the application of network security defence in database security services based on deep learning integrated with big data analytics International Journal of Intelligent Networks Big data analysis Deep learning Anomaly detection FPR Accuracy Security information system |
| title | Research on the application of network security defence in database security services based on deep learning integrated with big data analytics |
| title_full | Research on the application of network security defence in database security services based on deep learning integrated with big data analytics |
| title_fullStr | Research on the application of network security defence in database security services based on deep learning integrated with big data analytics |
| title_full_unstemmed | Research on the application of network security defence in database security services based on deep learning integrated with big data analytics |
| title_short | Research on the application of network security defence in database security services based on deep learning integrated with big data analytics |
| title_sort | research on the application of network security defence in database security services based on deep learning integrated with big data analytics |
| topic | Big data analysis Deep learning Anomaly detection FPR Accuracy Security information system |
| url | http://www.sciencedirect.com/science/article/pii/S2666603024000125 |
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