Innovative resource-saving security strategies for IoT devices
The astounding trend of increasing the number of connected IoT devices reflects the growing importance of this technology in industry, healthcare, the domestic sphere, and other sectors. However, with the expansion of IoT capabilities, the number of challenges also rises, particularly regarding the...
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| Format: | Article |
| Language: | English |
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Academy of Cognitive and Natural Sciences
2025-01-01
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| Series: | Journal of Edge Computing |
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| Online Access: | https://acnsci.org/journal/index.php/jec/article/view/748 |
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| _version_ | 1841544104709718016 |
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| author | Inna Rozlomii Andrii Yarmilko Serhii Naumenko |
| author_facet | Inna Rozlomii Andrii Yarmilko Serhii Naumenko |
| author_sort | Inna Rozlomii |
| collection | DOAJ |
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The astounding trend of increasing the number of connected IoT devices reflects the growing importance of this technology in industry, healthcare, the domestic sphere, and other sectors. However, with the expansion of IoT capabilities, the number of challenges also rises, particularly regarding the security of these devices, many of which are characterised by limited resources such as memory, power consumption, computational power, and network bandwidth. This article examines the key challenges associated with ensuring the security of IoT devices and proposes potential solutions and optimisation strategies that consider these limitations. The primary focus is developing and analysing lightweight cryptographic algorithms capable of providing robust data protection with minimal resource usage. The article also discusses efficient energy management strategies and optimising memory usage in IoT devices. Emphasis is placed on developing adaptive security mechanisms that can effectively respond to dynamic operational conditions and resource constraints. It is noted that further research and development should focus on creating integrated solutions that combine hardware, software, and managerial aspects to optimise the overall efficiency and security of IoT systems.
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| format | Article |
| id | doaj-art-fea0f13fe689439a8b07fc6909f209b6 |
| institution | Kabale University |
| issn | 2837-181X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Academy of Cognitive and Natural Sciences |
| record_format | Article |
| series | Journal of Edge Computing |
| spelling | doaj-art-fea0f13fe689439a8b07fc6909f209b62025-01-12T19:00:52ZengAcademy of Cognitive and Natural SciencesJournal of Edge Computing2837-181X2025-01-0110.55056/jec.748Innovative resource-saving security strategies for IoT devicesInna Rozlomii0https://orcid.org/0000-0001-5065-9004Andrii Yarmilko1https://orcid.org/0000-0003-2062-2694Serhii Naumenko2https://orcid.org/0000-0002-6337-1605Cherkasy State Technological UniversityThe Bohdan Khmelnytsky National University of CherkasyThe Bohdan Khmelnytsky National University of Cherkasy The astounding trend of increasing the number of connected IoT devices reflects the growing importance of this technology in industry, healthcare, the domestic sphere, and other sectors. However, with the expansion of IoT capabilities, the number of challenges also rises, particularly regarding the security of these devices, many of which are characterised by limited resources such as memory, power consumption, computational power, and network bandwidth. This article examines the key challenges associated with ensuring the security of IoT devices and proposes potential solutions and optimisation strategies that consider these limitations. The primary focus is developing and analysing lightweight cryptographic algorithms capable of providing robust data protection with minimal resource usage. The article also discusses efficient energy management strategies and optimising memory usage in IoT devices. Emphasis is placed on developing adaptive security mechanisms that can effectively respond to dynamic operational conditions and resource constraints. It is noted that further research and development should focus on creating integrated solutions that combine hardware, software, and managerial aspects to optimise the overall efficiency and security of IoT systems. https://acnsci.org/journal/index.php/jec/article/view/748IoTlimited resourcescryptographic algorithmsenergy efficiencymemory managementauthentication algorithms |
| spellingShingle | Inna Rozlomii Andrii Yarmilko Serhii Naumenko Innovative resource-saving security strategies for IoT devices Journal of Edge Computing IoT limited resources cryptographic algorithms energy efficiency memory management authentication algorithms |
| title | Innovative resource-saving security strategies for IoT devices |
| title_full | Innovative resource-saving security strategies for IoT devices |
| title_fullStr | Innovative resource-saving security strategies for IoT devices |
| title_full_unstemmed | Innovative resource-saving security strategies for IoT devices |
| title_short | Innovative resource-saving security strategies for IoT devices |
| title_sort | innovative resource saving security strategies for iot devices |
| topic | IoT limited resources cryptographic algorithms energy efficiency memory management authentication algorithms |
| url | https://acnsci.org/journal/index.php/jec/article/view/748 |
| work_keys_str_mv | AT innarozlomii innovativeresourcesavingsecuritystrategiesforiotdevices AT andriiyarmilko innovativeresourcesavingsecuritystrategiesforiotdevices AT serhiinaumenko innovativeresourcesavingsecuritystrategiesforiotdevices |