Terminal Trusted Authentication Technology for 5G Intelligent Lamp Poles Based on an Improved AES Algorithm Combining Random Key Generation and Clock Synchronization - Details

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This　paper　presents　research　on　trusted　authentication　methods　for　IoT　terminals,　specifically　focusing　on　the　design　of　a　secure　lightweight　trusted　authentication　module　that　integrates　information　abstracts　and　advanced　encryption　standard　(AES)　symmetric　encryption　algorithms　for　5G　intelligent　lamp　poles.　The　trusted　authentication　algorithm　is　designed　using　a　variable　key　combined　with　the　AES　symmetric　encryption　algorithm　to　create　an　encryption　application　programming　interface　(API).　The　algorithm　is　then　integrated　into　the　hardware　module,　and　an　experimental　platform　is　developed　to　demonstrate　the　effectiveness　of　the　proposed　trusted　verification　mechanism　in　preventing　common　network　attacks.　©　2023　Technical　Committee　on　Control　Theory,　Chinese　Association　of　Automation.

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[ 1 ] [Huang J.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
[ 2 ] [Huang J.]5G+ Industrial Internet Institute, Fuzhou University, Fuzhou, 350108, China
[ 3 ] [Chen G.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
[ 4 ] [Chen G.]5G+ Industrial Internet Institute, Fuzhou University, Fuzhou, 350108, China
[ 5 ] [Guo X.]Fuzhou Chengtou New Infrastructure Group Co. Ltd, Fuzhou, 350011, China
[ 6 ] [Lin Z.]Fuzhou Chengtou New Infrastructure Group Co. Ltd, Fuzhou, 350011, China
[ 7 ] [Zeng J.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
[ 8 ] [Zeng J.]5G+ Industrial Internet Institute, Fuzhou University, Fuzhou, 350108, China
[ 9 ] [Shao W.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
[ 10 ] [Shao W.]5G+ Industrial Internet Institute, Fuzhou University, Fuzhou, 350108, China
[ 11 ] [Lin D.]5G+ Industrial Internet Institute, Fuzhou University, Fuzhou, 350108, China

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ISSN： 1934-1768

Year： 2023

Volume： 2023-July

Page： 6244-6249

Language： English

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ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 1

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