Data Confidentiality for IoT Networks: Cryptographic Gaps and Physical-Layer Opportunities

Marcus De Ree; Georgios Mantas; Jonathan Rodriguez; Saud Althunibat; Marwa K. Qaraqe; Abdullah Alhasanat; Saif M. Al-Kuwari; Moath Alsafasfeh; Gabriele Oligeri; Seda Tusha; Muhammad Usman; Fatima Abu Taha; Samiha Alfalahat; Tasneem Alshamaseen; Malak Qaisi

doi:10.1109/CAMAD52502.2021.9617779

Data Confidentiality for IoT Networks: Cryptographic Gaps and Physical-Layer Opportunities

Marcus De Ree, Georgios Mantas, Jonathan Rodriguez, Saud Althunibat, Marwa K. Qaraqe, Abdullah Alhasanat, Saif M. Al-Kuwari, Moath Alsafasfeh, Gabriele Oligeri, Seda Tusha, Muhammad Usman, Fatima Abu Taha, Samiha Alfalahat, Tasneem Alshamaseen, Malak Qaisi

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The conventional solution for providing data confidentiality is by means of encryption (a branch of cryptography). However, encryption schemes are generally designed to provide a certain level of security without necessarily taking resource consumption into account. This poses an issue for Internet of Things (IoT) devices which are limited in terms of storage capacity and computational capabilities. In this paper, we discuss the capabilities of cryptographic solutions for providing data confidentiality and we evaluate whether these solutions are appropriate for IoT networks in terms of resource consumption. Based on the identified drawbacks of cryptographic solutions, we discuss opportunities within the area of physical-layer security (PLS). Finally, we provide an overview of PLS schemes which aim to enhance data confidentiality in IoT networks.

Iaith wreiddiol	Saesneg
Teitl	2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings
Cyhoeddwr	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronig)	978-1-6654-1779-2, 978-1-6654-1780-8
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/CAMAD52502.2021.9617779
Statws	Cyhoeddwyd - 6 Rhag 2021
Digwyddiad	26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Porto, Portiwgal Hyd: 25 Hyd 2021 → 27 Hyd 2021

Cynhadledd

Cynhadledd	26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021
Gwlad/Tiriogaeth	Portiwgal
Dinas	Porto
Cyfnod	25/10/21 → 27/10/21

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10.1109/CAMAD52502.2021.9617779

Dyfynnu hyn

De Ree, M., Mantas, G., Rodriguez, J., Althunibat, S., Qaraqe, M. K., Alhasanat, A., Al-Kuwari, S. M., Alsafasfeh, M., Oligeri, G., Tusha, S., Usman, M., Taha, F. A., Alfalahat, S., Alshamaseen, T., & Qaisi, M. (2021). Data Confidentiality for IoT Networks: Cryptographic Gaps and Physical-Layer Opportunities. Yn 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMAD52502.2021.9617779

@inproceedings{249598d3619a475d90036cb6a1543cb3,

title = "Data Confidentiality for IoT Networks: Cryptographic Gaps and Physical-Layer Opportunities",

abstract = "The conventional solution for providing data confidentiality is by means of encryption (a branch of cryptography). However, encryption schemes are generally designed to provide a certain level of security without necessarily taking resource consumption into account. This poses an issue for Internet of Things (IoT) devices which are limited in terms of storage capacity and computational capabilities. In this paper, we discuss the capabilities of cryptographic solutions for providing data confidentiality and we evaluate whether these solutions are appropriate for IoT networks in terms of resource consumption. Based on the identified drawbacks of cryptographic solutions, we discuss opportunities within the area of physical-layer security (PLS). Finally, we provide an overview of PLS schemes which aim to enhance data confidentiality in IoT networks. ",

keywords = "Cryptography, Data Confidentiality, Information Security, Internet of Things, Physical-Layer Security",

author = "{De Ree}, Marcus and Georgios Mantas and Jonathan Rodriguez and Saud Althunibat and Qaraqe, {Marwa K.} and Abdullah Alhasanat and Al-Kuwari, {Saif M.} and Moath Alsafasfeh and Gabriele Oligeri and Seda Tusha and Muhammad Usman and Taha, {Fatima Abu} and Samiha Alfalahat and Tasneem Alshamaseen and Malak Qaisi",

note = "Funding Information: This research was sponsored [in part] by the NATO Science for Peace and Security Programme under grant [SPS G5797]. Publisher Copyright: {\textcopyright} 2021 IEEE.; 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 ; Conference date: 25-10-2021 Through 27-10-2021",

year = "2021",

month = dec,

day = "6",

doi = "10.1109/CAMAD52502.2021.9617779",

language = "English",

booktitle = "2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

De Ree, M, Mantas, G, Rodriguez, J, Althunibat, S, Qaraqe, MK, Alhasanat, A, Al-Kuwari, SM, Alsafasfeh, M, Oligeri, G, Tusha, S, Usman, M, Taha, FA, Alfalahat, S, Alshamaseen, T & Qaisi, M 2021, Data Confidentiality for IoT Networks: Cryptographic Gaps and Physical-Layer Opportunities. yn 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021, Porto, Portiwgal, 25/10/21. https://doi.org/10.1109/CAMAD52502.2021.9617779

Data Confidentiality for IoT Networks: Cryptographic Gaps and Physical-Layer Opportunities. / De Ree, Marcus; Mantas, Georgios; Rodriguez, Jonathan et al.
2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021.

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

TY - GEN

T1 - Data Confidentiality for IoT Networks

T2 - 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021

AU - De Ree, Marcus

AU - Mantas, Georgios

AU - Rodriguez, Jonathan

AU - Althunibat, Saud

AU - Qaraqe, Marwa K.

AU - Alhasanat, Abdullah

AU - Al-Kuwari, Saif M.

AU - Alsafasfeh, Moath

AU - Oligeri, Gabriele

AU - Tusha, Seda

AU - Usman, Muhammad

AU - Taha, Fatima Abu

AU - Alfalahat, Samiha

AU - Alshamaseen, Tasneem

AU - Qaisi, Malak

PY - 2021/12/6

Y1 - 2021/12/6

N2 - The conventional solution for providing data confidentiality is by means of encryption (a branch of cryptography). However, encryption schemes are generally designed to provide a certain level of security without necessarily taking resource consumption into account. This poses an issue for Internet of Things (IoT) devices which are limited in terms of storage capacity and computational capabilities. In this paper, we discuss the capabilities of cryptographic solutions for providing data confidentiality and we evaluate whether these solutions are appropriate for IoT networks in terms of resource consumption. Based on the identified drawbacks of cryptographic solutions, we discuss opportunities within the area of physical-layer security (PLS). Finally, we provide an overview of PLS schemes which aim to enhance data confidentiality in IoT networks.

AB - The conventional solution for providing data confidentiality is by means of encryption (a branch of cryptography). However, encryption schemes are generally designed to provide a certain level of security without necessarily taking resource consumption into account. This poses an issue for Internet of Things (IoT) devices which are limited in terms of storage capacity and computational capabilities. In this paper, we discuss the capabilities of cryptographic solutions for providing data confidentiality and we evaluate whether these solutions are appropriate for IoT networks in terms of resource consumption. Based on the identified drawbacks of cryptographic solutions, we discuss opportunities within the area of physical-layer security (PLS). Finally, we provide an overview of PLS schemes which aim to enhance data confidentiality in IoT networks.

KW - Cryptography

KW - Data Confidentiality

KW - Information Security

KW - Internet of Things

KW - Physical-Layer Security

U2 - 10.1109/CAMAD52502.2021.9617779

DO - 10.1109/CAMAD52502.2021.9617779

M3 - Conference contribution

AN - SCOPUS:85122983903

BT - 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 October 2021 through 27 October 2021

ER -

De Ree M, Mantas G, Rodriguez J, Althunibat S, Qaraqe MK, Alhasanat A et al. Data Confidentiality for IoT Networks: Cryptographic Gaps and Physical-Layer Opportunities. Yn 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021 doi: 10.1109/CAMAD52502.2021.9617779

Data Confidentiality for IoT Networks: Cryptographic Gaps and Physical-Layer Opportunities

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