Data Analytics, Self-Organization, and Security Provisioning for Smart Monitoring Systems
Internet availability and its integration with smart technologies have favored everyday objects and things and offered new areas, such as the Internet of Things (IoT). IoT refers to a concept where smart devices or things are connected and create a network. This new area has suffered from big data h...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/19/7201 |
| _version_ | 1827653065265643520 |
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| author | Raja Waseem Anwar Kashif Naseer Qureshi Wamda Nagmeldin Abdelzahir Abdelmaboud Kayhan Zrar Ghafoor Ibrahim Tariq Javed Noel Crespi |
| author_facet | Raja Waseem Anwar Kashif Naseer Qureshi Wamda Nagmeldin Abdelzahir Abdelmaboud Kayhan Zrar Ghafoor Ibrahim Tariq Javed Noel Crespi |
| author_sort | Raja Waseem Anwar |
| collection | DOAJ |
| description | Internet availability and its integration with smart technologies have favored everyday objects and things and offered new areas, such as the Internet of Things (IoT). IoT refers to a concept where smart devices or things are connected and create a network. This new area has suffered from big data handling and security issues. There is a need to design a data analytics model by using new 5G technologies, architecture, and a security model. Reliable data communication in the presence of legitimate nodes is always one of the challenges in these networks. Malicious nodes are generating inaccurate information and breach the user’s security. In this paper, a data analytics model and self-organizing architecture for IoT networks are proposed to understand the different layers of technologies and processes. The proposed model is designed for smart environmental monitoring systems. This paper also proposes a security model based on an authentication, detection, and prediction mechanism for IoT networks. The proposed model enhances security and protects the network from DoS and DDoS attacks. The proposed model evaluates in terms of accuracy, sensitivity, and specificity by using machine learning algorithms. |
| first_indexed | 2024-03-09T21:11:49Z |
| format | Article |
| id | doaj.art-29fd9dc8a6504bdaacd3615f1eff89d6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:11:49Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-29fd9dc8a6504bdaacd3615f1eff89d62023-11-23T21:45:05ZengMDPI AGSensors1424-82202022-09-012219720110.3390/s22197201Data Analytics, Self-Organization, and Security Provisioning for Smart Monitoring SystemsRaja Waseem Anwar0Kashif Naseer Qureshi1Wamda Nagmeldin2Abdelzahir Abdelmaboud3Kayhan Zrar Ghafoor4Ibrahim Tariq Javed5Noel Crespi6Faculty of Computer Studies (FCS), Arab Open University, Muscat P.O. Box 1596, OmanDepartment of Electronic & Computer Engineering, University of Limerick, V94 T9PX Limerick, IrelandDepartment of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi ArabiaDepartment of Information Systems, College of Science and Arts, King Khalid University, Muhayil Asir 61913, Saudi ArabiaDepartment of Computer Science, Knowledge University, University Park, Kirkuk Road, Erbil 446015, IraqCenter of Excellence in Artificial Intelligence (CoE-AI), Department of Computer Science, Bahria University, Islamabad 44000, PakistanInstitut Polytechnique de Paris Telecom SudParis Evry, Courcouronnes FR, 9 Rue Charles Fourier, 91000 Evry, FranceInternet availability and its integration with smart technologies have favored everyday objects and things and offered new areas, such as the Internet of Things (IoT). IoT refers to a concept where smart devices or things are connected and create a network. This new area has suffered from big data handling and security issues. There is a need to design a data analytics model by using new 5G technologies, architecture, and a security model. Reliable data communication in the presence of legitimate nodes is always one of the challenges in these networks. Malicious nodes are generating inaccurate information and breach the user’s security. In this paper, a data analytics model and self-organizing architecture for IoT networks are proposed to understand the different layers of technologies and processes. The proposed model is designed for smart environmental monitoring systems. This paper also proposes a security model based on an authentication, detection, and prediction mechanism for IoT networks. The proposed model enhances security and protects the network from DoS and DDoS attacks. The proposed model evaluates in terms of accuracy, sensitivity, and specificity by using machine learning algorithms.https://www.mdpi.com/1424-8220/22/19/7201IoTsecurity5Gnetworksbig dataanalytics |
| spellingShingle | Raja Waseem Anwar Kashif Naseer Qureshi Wamda Nagmeldin Abdelzahir Abdelmaboud Kayhan Zrar Ghafoor Ibrahim Tariq Javed Noel Crespi Data Analytics, Self-Organization, and Security Provisioning for Smart Monitoring Systems Sensors IoT security 5G networks big data analytics |
| title | Data Analytics, Self-Organization, and Security Provisioning for Smart Monitoring Systems |
| title_full | Data Analytics, Self-Organization, and Security Provisioning for Smart Monitoring Systems |
| title_fullStr | Data Analytics, Self-Organization, and Security Provisioning for Smart Monitoring Systems |
| title_full_unstemmed | Data Analytics, Self-Organization, and Security Provisioning for Smart Monitoring Systems |
| title_short | Data Analytics, Self-Organization, and Security Provisioning for Smart Monitoring Systems |
| title_sort | data analytics self organization and security provisioning for smart monitoring systems |
| topic | IoT security 5G networks big data analytics |
| url | https://www.mdpi.com/1424-8220/22/19/7201 |
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