Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey
The Internet of Things (IoT) has emerged as a technology capable of connecting heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily lives simpler, safer, and fruitful. Being part of a large network of heterogeneous devices, these nodes are typically resource-cons...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9456954/ |
| _version_ | 1823933757840687104 |
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| author | Shakila Zaman Khaled Alhazmi Mohammed A. Aseeri Muhammad Raisuddin Ahmed Risala Tasin Khan M. Shamim Kaiser Mufti Mahmud |
| author_facet | Shakila Zaman Khaled Alhazmi Mohammed A. Aseeri Muhammad Raisuddin Ahmed Risala Tasin Khan M. Shamim Kaiser Mufti Mahmud |
| author_sort | Shakila Zaman |
| collection | DOAJ |
| description | The Internet of Things (IoT) has emerged as a technology capable of connecting heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily lives simpler, safer, and fruitful. Being part of a large network of heterogeneous devices, these nodes are typically resource-constrained and became the weakest link to the cyber attacker. Classical encryption techniques have been employed to ensure the data security of the IoT network. However, high-level encryption techniques cannot be employed in IoT devices due to the limitation of resources. In addition, node security is still a challenge for network engineers. Thus, we need to explore a complete solution for IoT networks that can ensure nodes and data security. The rule-based approaches and shallow and deep machine learning algorithms– branches of Artificial Intelligence (AI)– can be employed as countermeasures along with the existing network security protocols. This paper presented a comprehensive layer-wise survey on IoT security threats, and the AI-based security models to impede security threats. Finally, open challenges and future research directions are addressed for the safeguard of the IoT network. |
| first_indexed | 2024-12-16T22:10:14Z |
| format | Article |
| id | doaj.art-e5fd0954a58140669df3bc43a67dd9ad |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T22:10:14Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e5fd0954a58140669df3bc43a67dd9ad2022-12-21T22:14:20ZengIEEEIEEE Access2169-35362021-01-019946689469010.1109/ACCESS.2021.30896819456954Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive SurveyShakila Zaman0https://orcid.org/0000-0001-9299-4708Khaled Alhazmi1https://orcid.org/0000-0002-9271-7740Mohammed A. Aseeri2https://orcid.org/0000-0002-1454-7934Muhammad Raisuddin Ahmed3Risala Tasin Khan4https://orcid.org/0000-0001-8236-5959M. Shamim Kaiser5https://orcid.org/0000-0002-4604-5461Mufti Mahmud6https://orcid.org/0000-0002-2037-8348Department of Computer Science and Engineering, Brac University, Dhaka, BangladeshNational Center for Robotics and Internet of Things Technology, Communication and Information Technology Research Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi ArabiaNational Centre for Telecommunication and Defense Systems Technologies, Communication and Information Technology Research Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi ArabiaRadio and Radar Communication, Military Technological College, Muscat, OmanInstitute of Information Technology, Jahangirnagar University, Dhaka, BangladeshInstitute of Information Technology, Jahangirnagar University, Dhaka, BangladeshDepartment of Computer Science, Nottingham Trent University, Nottingham, U.K.The Internet of Things (IoT) has emerged as a technology capable of connecting heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily lives simpler, safer, and fruitful. Being part of a large network of heterogeneous devices, these nodes are typically resource-constrained and became the weakest link to the cyber attacker. Classical encryption techniques have been employed to ensure the data security of the IoT network. However, high-level encryption techniques cannot be employed in IoT devices due to the limitation of resources. In addition, node security is still a challenge for network engineers. Thus, we need to explore a complete solution for IoT networks that can ensure nodes and data security. The rule-based approaches and shallow and deep machine learning algorithms– branches of Artificial Intelligence (AI)– can be employed as countermeasures along with the existing network security protocols. This paper presented a comprehensive layer-wise survey on IoT security threats, and the AI-based security models to impede security threats. Finally, open challenges and future research directions are addressed for the safeguard of the IoT network.https://ieeexplore.ieee.org/document/9456954/Fuzzy logicmachine leaningattack vectorIoT protocolsIoT applications |
| spellingShingle | Shakila Zaman Khaled Alhazmi Mohammed A. Aseeri Muhammad Raisuddin Ahmed Risala Tasin Khan M. Shamim Kaiser Mufti Mahmud Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey IEEE Access Fuzzy logic machine leaning attack vector IoT protocols IoT applications |
| title | Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey |
| title_full | Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey |
| title_fullStr | Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey |
| title_full_unstemmed | Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey |
| title_short | Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey |
| title_sort | security threats and artificial intelligence based countermeasures for internet of things networks a comprehensive survey |
| topic | Fuzzy logic machine leaning attack vector IoT protocols IoT applications |
| url | https://ieeexplore.ieee.org/document/9456954/ |
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