The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things
Abstract
The data privacy and confidentiality in Internet-of-Things (IoT) networks have been one of the most concerned problems due to increasing threats. The commonly utilized IoT chips adopt a fixed authentication and encryption scheme in the link layer even though multiple options are usually supported. As different authentication and encryption operations mean dissimilar protections and various energy consumption, the fixed security strategy neglects the remaining energy, dynamic threats, and diverse service requirements, leading to low energy efficiency. Moreover, fixed high-level security protections consume too much energy even though the security requirement may be low, which results in a short working time. To address this problem, we propose an artificial intelligence (AI)-based adaptive security specification method for 6G IoT networks where the IoT devices are connected to cellular networks via different frequency bands, including terahertz (THz) and millimeter wave (mmWave). The IoT sensing devices are assumed to support the energy harvesting technique which is expected to be widely adopted in 6G. In our proposal, the extended Kalman filtering (EKF) method is first adopted to predict future harvesting power. Then, in each energy-aware cycle, we design a mathematical model to calculate the required energy of different security strategies and choose the supported highest level protection which can meet service requirement and avoid energy exhaustion. The simulation results illustrate that the proposal can not only provide satisfied security protection for different services but also adjust the security protection to avoid the energy exhaustion, leading to a significant improvement of throughput and working time.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In addition, the signal gets attenuated to zero after short distance transmission. It occurs due to energy loss, i.e., molecular absorption and spreading loss [24].”
From 6G Communication Technology: A Vision on Intelligent Healthcare (2021) · cites this paper as [24]
Citations
Cites
Rappaport, T. S., Xing, Y., Kanhere, O., Ju, S., Madanayake, A., Mandal, S., Alkhateeb, A., & Trichopoulos, G. C. (2019) · IEEE Access · doi:10.1109/access.2019.2921522 · Cited by 2,617
The Roadmap to 6G: AI Empowered Wireless Networks
Letaief, K. B., Chen, W., Shi, Y., Zhang, J., & Zhang, Y.-J. A. (2019) · IEEE Communications Magazine · doi:10.1109/mcom.2019.1900271 · Cited by 2,207
Power management in energy harvesting sensor networks
Kansal, A., Hsu, J., Zahedi, S., & Srivastava, M. B. (2007) · ACM Transactions on Embedded Computing Systems · doi:10.1145/1274858.1274870 · Cited by 1,539
Evaluating Critical Security Issues of the IoT World: Present and Future Challenges
Frustaci, M., Pace, P., Aloi, G., & Fortino, G. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2767291 · Cited by 766
6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence
Gui, G., Liu, M., Tang, F., Kato, N., & Adachi, F. (2020) · IEEE Wireless Communications · doi:10.1109/mwc.001.1900516 · Cited by 733
Self-citationTen Challenges in Advancing Machine Learning Technologies toward 6G
Kato, N., Mao, B., Tang, F., Kawamoto, Y., & Liu, J. (2020) · IEEE Wireless Communications · doi:10.1109/mwc.001.1900476 · Cited by 406
Self-citationDesign of Secure User Authenticated Key Management Protocol for Generic IoT Networks
Wazid, M., Das, A. K., Odelu, V., Kumar, N., Conti, M., & Jo, M. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2780232 · Cited by 400
Lightweight and Privacy-Preserving Two-Factor Authentication Scheme for IoT Devices
Gope, P., & Sikdar, B. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846299 · Cited by 382
Security considerations for IEEE 802.15.4 networks
Sastry, N., & Wagner, D. A. (2004) · doi:10.1145/1023646.1023654 · Cited by 305
The Security of Autonomous Driving: Threats, Defenses, and Future Directions
Ren, K., Wang, Q., Wang, C., Qin, Z., & Lin, X. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2948775 · Cited by 223
Mao, X., Maaref, A., & Teo, K. H. (2008) · IEEE Global Telecommunications Conference (GLOBECOM) · doi:10.1109/glocom.2008.ecp.916 · Cited by 150
A Distributed Energy-Harvesting-Aware Routing Algorithm for Heterogeneous IoT Networks
Nguyen, T. D., Khan, J. Y., & Ngo, D. T. (2018) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2018.2839593 · Cited by 146
Toward Edge-Assisted Internet of Things: From Security and Efficiency Perspectives
Ni, J., Lin, X., & Shen, X. (2019) · IEEE Network · doi:10.1109/mnet.2019.1800229 · Cited by 112
Lightweight Privacy-Preserving Ensemble Classification for Face Recognition
Ma, Z., Liu, Y., Liu, X., Ma, J., & Ren, K. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2905555 · Cited by 93
Data Provenance for IoT With Light Weight Authentication and Privacy Preservation
Aman, M. N., Basheer, M. H., & Sikdar, B. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2939286 · Cited by 87
Opportunistic Encryption: A Trade-Off between Security and Throughput in Wireless Networks
Haleem, M. A., Mathur, C. N., Chandramouli, R., & Subbalakshmi, K. P. (2007) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2007.70214 · Cited by 84
Balancing Security and Efficiency for Smart Metering Against Misbehaving Collectors
Ni, J., Zhang, K., Lin, X., & Shen, X. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2761804 · Cited by 64
Token-Based Security for the Internet of Things With Dynamic Energy-Quality Tradeoff
Aman, M. N., Taneja, S., Sikdar, B., Chua, K. C., & Alioto, M. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2875472 · Cited by 57
An LDPC Code Based Physical Layer Message Authentication Scheme With Prefect Security
Chen, D., Zhang, N., Lu, R., Fang, X., Zhang, K., Qin, Z., & Shen, X. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2825079 · Cited by 54
Security and QoS Self-Optimization in Mobile Ad Hoc Networks
Shen, Z., & Thomas, J. P. (2008) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2007.70754 · Cited by 51
Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks
Mao, B., Kawamoto, Y., Liu, J., & Kato, N. (2019) · IEEE Communications Letters · doi:10.1109/lcomm.2019.2932988 · Cited by 49
Self-citationWang, L., Liu, J., Chen, M., Gui, G., & Sari, H. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2789022 · Cited by 48
Fadlullah, Z. M., Wei, C. Y., Shi, Z., & Kato, N. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2636186 · Cited by 47
Self-citationAuthentication of Wireless Devices in the Internet of Things: Learning and Environmental Effects
Dabbagh, Y. S., & Saad, W. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2910233 · Cited by 33
The Security Trade-Offs in Resource Constrained Nodes for IoT Application
Alharby, S., Harris, N., Weddell, A. S., & Reeve, J. S. (2018) · ePrints Soton (University of Southampton) · doi:10.1999/1307-6892/10008451 · Cited by 20
Analysis and taxonomy of security/QoS tradeoff solutions for the future internet
Nieto, A., & López, J. (2013) · Security and Communication Networks · doi:10.1002/sec.809 · Cited by 18
Research works printed but not linked: 4
- 2019, Solar Power Data for Integration Studies
- 2019, Key drivers and research challenges for 6G ubiquitous wireless intelligence
- 2019, Authentication and Encryption Algorithms
- 2019, An Introduction to the Extended Kalman Filter
Cited by
Sorted by citations
Chowdhury, M. Z., Shahjalal, M. A., Ahmed, S., & Jang, Y. M. (2020) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2020.3010270 · Cited by 1,925
Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research
de Alwis, C., Kalla, A., Pham, Q., Kumar, P., Dev, K., Hwang, W., & Liyanage, M. (2021) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2021.3071496 · Cited by 809
6G Wireless Communications Networks: A Comprehensive Survey
Alsabah, M. Q., Naser, M. A., Mahmmod, B. M., Abdulhussain, S. H., Eissa, M. R., Al-Baidhani, A., Noordin, N. K., Sait, S. M., Al-Utaibi, K. A., & Hashim, F. (2021) · IEEE Access · doi:10.1109/access.2021.3124812 · Cited by 622
A Survey on Space-Air-Ground-Sea Integrated Network Security in 6G
Guo, H., Li, J., Liu, J., Tian, N., & Kato, N. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3131332 · Cited by 535
Self-citationSecurity and Privacy on 6G Network Edge: A Survey
Mao, B., Liu, J., Wu, Y., & Kato, N. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3244674 · Cited by 350
Self-citation
Metadata
- Authors
- Mao, B., Kawamoto, Y., & Kato, N.
- Affiliations
- Tohoku University (JP)
- Venue
- IEEE Internet of Things Journal
- Published
- 2020-08
- Volume
- 7
- Issue
- 8
- Pages
- 7032-7042
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W3013639278
- Cited by
- 228
- References
- 26
- Citations by year
- 2026: 14 · 2025: 37 · 2024: 33 · 2023: 39 · 2022: 46 · 2021: 45 · 2020: 14
- FWCI
- 16.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (20K19777)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Harvesting in Wireless Networks
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Communication Security Techniques
- Keywords
- energy harvesting, adaptive security, authentication and encryption, quality of service, energy efficiency, extended Kalman filter, terahertz communication, millimeter wave, link layer security, working hours
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
