Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review
<p dir="ltr">Energy efficiency and safety are two essential factors that play a significant role in operating a wireless sensor network. However, it is claimed that these two factors are naturally conflicting. The level of electrical consumption required by a security system is direc...
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2024
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513545076473856 |
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| author | Yazeed Yasin Ghadi (16667109) |
| author2 | Tehseen Mazhar (19332663) Tamara Al Shloul (21633554) Tariq Shahzad (21632645) Umair Ahmad Salaria (21633557) Arfan Ahmed (17541309) Habib Hamam (21633560) |
| author2_role | author author author author author author |
| author_facet | Yazeed Yasin Ghadi (16667109) Tehseen Mazhar (19332663) Tamara Al Shloul (21633554) Tariq Shahzad (21632645) Umair Ahmad Salaria (21633557) Arfan Ahmed (17541309) Habib Hamam (21633560) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yazeed Yasin Ghadi (16667109) Tehseen Mazhar (19332663) Tamara Al Shloul (21633554) Tariq Shahzad (21632645) Umair Ahmad Salaria (21633557) Arfan Ahmed (17541309) Habib Hamam (21633560) |
| dc.date.none.fl_str_mv | 2024-01-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2024.3355312 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Machine_Learning_Solutions_for_the_Security_of_Wireless_Sensor_Networks_A_Review/29446106 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Computer vision and multimedia computation Machine learning Wireless sensor networks machine learning WSNs security LoWPAN IoT Security Sensors Machine learning Artificial intelligence Safety Training Internet of Things Low-power electronics Personal area networks |
| dc.title.none.fl_str_mv | Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Energy efficiency and safety are two essential factors that play a significant role in operating a wireless sensor network. However, it is claimed that these two factors are naturally conflicting. The level of electrical consumption required by a security system is directly proportional to its degree of complexity. Wireless sensor networks require additional security measures above the capabilities of conventional network security protocols, such as encryption and key management. The potential application of machine learning techniques to address network security concerns is frequently discussed. These devices will have complete artificial intelligence capabilities, enabling them to understand their environment and respond. During the training phase, machine-learning systems may face challenges due to the large amount of data required and the complex nature of the training procedure. The main objective of the article is to know about different machine learning algorithms that are used to solve the security issues of wireless sensor networks. This study also focuses on the use of wireless sensor networks in different fields. Furthermore, this study also focuses on different Machine learning algorithms that are used to secure wireless sensor networks. Moreover, this study also addresses issues of adapting machine learning algorithms to accommodate the sensors’ functionalities in the network configuration. Furthermore, this article also focuses on open issues in this field that must be solved.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3355312" target="_blank">https://dx.doi.org/10.1109/access.2024.3355312</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_e75ccb2b52e194fd091e99e4da085e91 |
| identifier_str_mv | 10.1109/access.2024.3355312 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29446106 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Machine Learning Solutions for the Security of Wireless Sensor Networks: A ReviewYazeed Yasin Ghadi (16667109)Tehseen Mazhar (19332663)Tamara Al Shloul (21633554)Tariq Shahzad (21632645)Umair Ahmad Salaria (21633557)Arfan Ahmed (17541309)Habib Hamam (21633560)Information and computing sciencesArtificial intelligenceComputer vision and multimedia computationMachine learningWireless sensor networksmachine learningWSNs securityLoWPANIoTSecuritySensorsMachine learningArtificial intelligenceSafetyTrainingInternet of ThingsLow-power electronicsPersonal area networks<p dir="ltr">Energy efficiency and safety are two essential factors that play a significant role in operating a wireless sensor network. However, it is claimed that these two factors are naturally conflicting. The level of electrical consumption required by a security system is directly proportional to its degree of complexity. Wireless sensor networks require additional security measures above the capabilities of conventional network security protocols, such as encryption and key management. The potential application of machine learning techniques to address network security concerns is frequently discussed. These devices will have complete artificial intelligence capabilities, enabling them to understand their environment and respond. During the training phase, machine-learning systems may face challenges due to the large amount of data required and the complex nature of the training procedure. The main objective of the article is to know about different machine learning algorithms that are used to solve the security issues of wireless sensor networks. This study also focuses on the use of wireless sensor networks in different fields. Furthermore, this study also focuses on different Machine learning algorithms that are used to secure wireless sensor networks. Moreover, this study also addresses issues of adapting machine learning algorithms to accommodate the sensors’ functionalities in the network configuration. Furthermore, this article also focuses on open issues in this field that must be solved.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3355312" target="_blank">https://dx.doi.org/10.1109/access.2024.3355312</a></p>2024-01-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2024.3355312https://figshare.com/articles/journal_contribution/Machine_Learning_Solutions_for_the_Security_of_Wireless_Sensor_Networks_A_Review/29446106CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/294461062024-01-01T00:00:00Z |
| spellingShingle | Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review Yazeed Yasin Ghadi (16667109) Information and computing sciences Artificial intelligence Computer vision and multimedia computation Machine learning Wireless sensor networks machine learning WSNs security LoWPAN IoT Security Sensors Machine learning Artificial intelligence Safety Training Internet of Things Low-power electronics Personal area networks |
| status_str | publishedVersion |
| title | Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review |
| title_full | Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review |
| title_fullStr | Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review |
| title_full_unstemmed | Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review |
| title_short | Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review |
| title_sort | Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review |
| topic | Information and computing sciences Artificial intelligence Computer vision and multimedia computation Machine learning Wireless sensor networks machine learning WSNs security LoWPAN IoT Security Sensors Machine learning Artificial intelligence Safety Training Internet of Things Low-power electronics Personal area networks |