Novel lightweight and fine-grained fast access control using RNS properties in fog computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-023-04169-6.pdf
Reference38 articles.
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2. Ahmed, H.I., Nasr, A.A., Abdel-Mageid, S., Aslan, H.K.: A survey of IoT security threats and defenses. Int. J. Adv. Comput. Res. 9(45), 325–350 (2019). https://doi.org/10.19101/IJACR.2019.940088
3. Messaoud, S., Bradai, A., Bukhari, S.H.R., Quang, P.T.A., Ahmed, O.B., Atri, M.: A survey on machine learning in internet of things: algorithms, strategies, and applications. Internet Things 12, 100314 (2020). https://doi.org/10.1016/j.iot.2020.100177
4. Aazam, M., Zeadally, S., Harras, K.A.: Fog computing architecture, evaluation, and future research directions. IEEE Commun. Mag. 56(5), 46–52 (2018). https://doi.org/10.1109/MCOM.2018.1700707
5. Aleisa, M.A., Abuhussein, A., Sheldon, F.T.: Access control in fog computing: challenges and research agenda. IEEE Access 8, 83986–83999 (2020). https://doi.org/10.1109/ACCESS.2020.2992460
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