An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy

Article

Shamshad, Shuhab, Riaz, Farina, Riaz, Rabia, Rizvi, Sanam Shahla and Abdulla, Shahab. 2022. "An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy." Sensors. 22 (21), pp. 1-24. https://doi.org/10.3390/s22218151
Article Title

An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy

ERA Journal ID34304
Article CategoryArticle
AuthorsShamshad, Shuhab (Author), Riaz, Farina (Author), Riaz, Rabia (Author), Rizvi, Sanam Shahla (Author) and Abdulla, Shahab (Author)
Journal TitleSensors
Journal Citation22 (21), pp. 1-24
Article Number8151
Number of Pages24
Year2022
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN1424-8220
1424-8239
Digital Object Identifier (DOI)https://doi.org/10.3390/s22218151
Web Address (URL)https://www.mdpi.com/1424-8220/22/21/8151
Abstract

The Internet of Things (IoT) strongly influences the world economy; this emphasizes the importance of securing all four aspects of the IoT model: sensors, networks, cloud, and applications. Considering the significant value of public-key cryptography threats on IoT system confidentiality, it is vital to secure it. One of the potential candidates to assist in securing public key cryptography in IoT is quantum computing. Although the notion of IoT and quantum computing convergence is not new, it has been referenced in various works of literature and covered by many scholars. Quantum computing eliminates most of the challenges in IoT. This research provides a comprehensive introduction to the Internet of Things and quantum computing before moving on to public-key cryptography difficulties that may be encountered across the convergence of quantum computing and IoT. An enhanced architecture is then proposed for resolving these public-key cryptography challenges using SimuloQron to implement the BB84 protocol for quantum key distribution (QKD) and one-time pad (OTP). The proposed model prevents eavesdroppers from performing destructive operations in the communication channel and cyber side by preserving its state and protecting the public key using quantum cryptography and the BB84 protocol. A modified version is introduced for this IoT situation. A traditional cryptographic mechanism called 'one-time pad' (OTP) is employed in hybrid management.

KeywordsCryptography; Quantum Computing Supremacy; Quantum Communication; Public- key cryptography; Internet of Things (IoT); Quantum Computing
ANZSRC Field of Research 2020460401. Cryptography
Byline AffiliationsUniversity of Azad Jammu and Kashmir, Pakistan
UniSQ College
Raptor Interactive, South Africa
USQ College
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q7vw8/an-enhanced-architecture-to-resolve-public-key-cryptographic-issues-in-the-internet-of-things-iot-employing-quantum-computing-supremacy

Log in to edit

Download files

Published Version
sensors-22-08151-v2.pdf
License: CC BY 4.0
File access level: Anyone

  • 33
    total views
  • 18
    total downloads
  • 2
    views this month
  • 2
    downloads this month

Export as

Related outputs

Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine
Jamei, Mehdi, Sharma, Prabhakar, Ali, Mumtaz, Bora, Bhaskor J., Malik, Anurag, Paramasivam, Prabhu, Farooque, Aitazaz A. and Abdulla, Shahab. 2024. "Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine." Energy. 288. https://doi.org/https://doi.org/10.1016/j.energy.2023.129862
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach
Riaz, Farina, Abdulla, Shahab, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C. and Hopkins, Susan. 2023. "Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach." Sensors. 23 (5), pp. 1-11. https://doi.org/10.3390/s23052753
Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks
Ali, Mumtaz, Prasad, Ramendra, Jamei, Mehdi, Malik, Anurag, Xiang, Yong, Abdulla, Shahab, Deo, Ravinesh C., Farooque, Aitazaz A. and Labban, Abdulhaleem H.. 2023. "Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks." Renewable Energy. 221. https://doi.org/https://doi.org/10.1016/j.renene.2023.119773
An ensemble machine learning-based intelligent system for human activity recognition using sensory data
Abdulla, Shahab, Diykh, Mohammed, Siuly, Siuly and Ali, Mumtaz. 2023. "An ensemble machine learning-based intelligent system for human activity recognition using sensory data." Sinha, G.R., Subudhi, Bidyadhar, Fan, Chih-Peng and Nisar, Humaira (ed.) Cognitive Sensing Technologies and Applications. Institution of Engineering and Technology (IET). pp. 119-130
Identifying License Plates in Distorted Vehicle Images: Detecting Distorted Vehicle Licence Plates Using a Novel Preprocessing Methods With Hybrid Feature Descriptors
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2023. "Identifying License Plates in Distorted Vehicle Images: Detecting Distorted Vehicle Licence Plates Using a Novel Preprocessing Methods With Hybrid Feature Descriptors." IEEE Intelligent Transportation Systems Magazine. 15 (2), pp. 6-25. https://doi.org/10.1109/MITS.2022.3210226
New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes
Ali, Mumtaz, Jamei, Mehdi, Prasad, Ramendra, Karbasi, Masoud, Xiang, Yong, Cai, Borui, Abdulla, Shahab, Farooque, Aitazaz Ahsan and Labban, Abdulhaleem H.. 2023. "New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes." Ecological Indicators. 155. https://doi.org/10.1016/j.ecolind.2023.111030
Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation
Zheng, Zihao, Ali, Mumtaz, Jamei, Mehdi, Xiang, Yong, Abdulla, Shahab, Yaseen, Zaher Mundher and Farooque, Aitazaz A.. 2023. "Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation." Renewable and Sustainable Energy Reviews. 185. https://doi.org/https://doi.org/10.1016/j.rser.2023.113645
Coloured image classification with quantum machine learning algorithms for intelligent transportation systems
Ria, Farina. 2023. Coloured image classification with quantum machine learning algorithms for intelligent transportation systems. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z014z
Development of neutrosophic cubic hesitant fuzzy exponential aggregation operators with application in environmental protection problems
Rehman, Ateeq Ur, Gulistan, Muhammad, Ali, Mumtaz, M.Al‑Shamiri, Mohammed M. and Abdulla, Shahab. 2023. "Development of neutrosophic cubic hesitant fuzzy exponential aggregation operators with application in environmental protection problems." Scientific Reports. 13, pp. 1-18. https://doi.org/10.1038/s41598-022-22399-3
Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model
Li, Yi-ming, Khan, Majid, Khurshid, Adnan, Gulistan, Muhammad, Rehman, Ateeq Ur, Ali, Mumtaz, Abdulla, Shahab and Farooque, Aitazaz A.. 2023. "Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model ." Complex and Intelligent Systems. https://doi.org/10.1007/s40747-023-00971-2
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification
Abdulla, Shahab, Diykh, Mohammed, Siuly, Siuly and Ali, Mumtaz. 2023. "An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification." International Journal of Medical Informatics. 171, pp. 1-10. https://doi.org/10.1016/j.ijmedinf.2023.105001
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition
Diykh, Mohammed, Abdulla, Shahab, Deo, Ravinesh C, Siuly, Siuly and Ali, Mumtaz. 2023. "Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition." Computer Methods and Programs in Biomedicine. 229, pp. 1-11. https://doi.org/https://doi.org/10.1016/j.cmpb.2022.107305
Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm." IEEE Access. 9, pp. 50982-50993. https://doi.org/10.1109/ACCESS.2021.3065939
Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height
Karbasi, Masoud, Jamei, Mehdi, Ali, Mumtaz, Abdulla, Shahab, Chu, Xuefeng and Yaseen, Zaher Mundher. 2022. "Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height." Journal of Cleaner Production. 379 (Part 2). https://doi.org/10.1016/j.jclepro.2022.134820
ECG Signals Classification Model Based on Frequency domain Features Coupled with Least Square Support Vector Machine (LSSVM)
Azeez, Rand Ameen, Alkhafaji, Sarmad K. D., Diykh, Mohammed and Abdulla, Shahab. 2022. "ECG Signals Classification Model Based on Frequency domain Features Coupled with Least Square Support Vector Machine (LSSVM)." Agma, Traina, Wang, Hua, Zhang, Yong, Siuly, Siuly, Zhou, Rui and Chen, Lui (ed.) 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_28
An Intelligence Approach for Blood Pressure Estimation from Photoplethysmography Signal
Abdulla, Shahab, Diykh, Mohammed, AlKhafaji, Sarmad K. D., Oudah, Atheer Y, Marhoon, Haydar Abdulameer and Azeez, Rand Ameen. 2022. "An Intelligence Approach for Blood Pressure Estimation from Photoplethysmography Signal ." Agma, Traina, Wang, Hua, Zhang, Yong, Siuly, Siuly, Zhou, Rui and Chen, Lu (ed.) 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_6
Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing
Riaz, Farina, Abdulla, Shahab, Ni, Wei, Radfar, Mohsen, Deo, Ravinesh and Hopkins, Susan. 2022. "Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing." Quantum Australia Conference 2022. Online 23 - 25 Feb 2022 Toowoomba, Australia. https://doi.org/10.13140/RG.2.2.34754.66245
Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Prasad, Ramendra, Abdulla, Shahab and Yaseen, Zaher Mundher. 2022. "Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach." Water Resources Management. 36 (12), p. 4637–4676. https://doi.org/10.1007/s11269-022-03270-6
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2022. "An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis." Frontiers in Neuroinformatics. 15, pp. 1-15. https://doi.org/10.3389/fninf.2021.808339
Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals
Diykh, Mohammed, Miften, Firas Sabar, Abdulla, Shahab, Deo, Ravinesh C., Siuly, Siuly, Green, Jonathan H. and Oudah, Atheer Y.. 2022. "Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals." Measurement. 190 (110731), pp. 1-13. https://doi.org/10.1016/j.measurement.2022.110731
Developing Smart Self Orienting Solar Tracker for Mobile PV Power Generation Systems
Al-Saadi, Yousif R., Tapou, Monaf S., Badi, Areej A., Abdulla, Shahab and Diykh, Mohammed. 2022. "Developing Smart Self Orienting Solar Tracker for Mobile PV Power Generation Systems." IEEE Access. 10, pp. 79090-79099. https://doi.org/10.1109/ACCESS.2022.3194026
A hybrid architecture for resolving cryptographic issues in Internet of Things (IoT), employing quantum computing supremacy
Shamshad, Shuhab, Riaz, Farina, Riaz, Rabia, Rizvi, Sanam Shahla and Abdulla, Shahab. 2021. "A hybrid architecture for resolving cryptographic issues in Internet of Things (IoT), employing quantum computing supremacy." 12th International Conference on Information and Communication Technology Convergence (ICTC 2021). Jeju Island, Korea, Republic of Korea 20 - 22 Oct 2021 Jeju Island, Korea, Republic of Korea. https://doi.org/10.1109/ICTC52510.2021.9621208
A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model
Diykh, Mohammed, Abdulla, Shahab, Oudah, Atheer Y., Marhoon, Haydar Abdulameer and Siuly, Siuly. 2021. "A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model ." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Cham, Switzerland. https://doi.org/10.1007/978-3-030-90885-0_8
Determinant of Covariance Matrix Model Coupled with AdaBoost Classification Algorithm for EEG Seizure Detection
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed and Green, Jonathan H.. 2021. "Determinant of Covariance Matrix Model Coupled with AdaBoost Classification Algorithm for EEG Seizure Detection." Diagnostics. 12 (1), pp. 1-18. https://doi.org/10.3390/diagnostics12010074
Experiments and proofs in web-service security
Sheniar, Dawood, Hadaad, Nabeel, Martin, David, Addie, Ron and Abdulla, Shahab. 2018. "Experiments and proofs in web-service security." Harris, Richard, Gregory, Mark, Tran-Gia, Phuoc and Pawlikowski, Krys (ed.) 28th International Telecommunication Networks and Application Conference: Experiments and Proofs in Web-service Security (ITNAC 2018). Sydney, Australia 21 - 23 Nov 2018 New York, United States. https://doi.org/10.1109/ATNAC.2018.8615367
Outlier detection in indoor localization and Internet of Things (IoT) using machine learning
Bhatti, Mansoor Ahmed, Riaz, Rabia, Rizvi, Sanam Shahla, Shokat, Sana, Riaz, Farina and Kwon, Se Jin. 2020. "Outlier detection in indoor localization and Internet of Things (IoT) using machine learning." Journal of Communications and Networks. 22 (3), pp. 236-243. https://doi.org/10.1109/JCN.2020.000018
Impact of Web 2.0 on digital divide in AJ&K Pakistan
Shokat, Sana, Riaz, Rabia, Rizvi, Sanam Shahla, Riaz, Farina, Aziz, Samaira, Hussain, Raja Shoaib, Abbasi, Mohaib Zulfiqar and Shabir, Saba. 2018. "Impact of Web 2.0 on digital divide in AJ&K Pakistan." International Journal of Advanced Computer Science and Applications. 9 (2), pp. 221-228. https://doi.org/10.14569/IJACSA.2018.090231
Designing of cell coverage in light fidelity
Riaz, Rabia, Rizvi, Sanam Shehla, Riaz, Farina, Shokat, Sana and Mughall, Naveed Akbar. 2018. "Designing of cell coverage in light fidelity." International Journal of Advanced Computer Science and Applications. 9 (3), pp. 44-53. https://doi.org/10.14569/IJACSA.2018.090308
Analysis of web based structural security patterns by employing ten security principles
Riaz, Rabia, Rizvi, Sanam Shehla, Riaz, Farina, Hameed, Nausheen and Shokat, Sana. 2017. "Analysis of web based structural security patterns by employing ten security principles." International Journal of Computer Science and Network Security. 17 (10), pp. 45-56.
Analysis and evaluation of Braille to Text conversion methods
Shokat, Sana, Riaz, Rabia, Rizvi, Sanam Shahla, Khan, Khalil, Riaz, Farina and Kwon, Se Jin. 2020. "Analysis and evaluation of Braille to Text conversion methods." Mobile Information Systems. 2020, pp. 1-14. https://doi.org/10.1155/2020/3461651
A comparative study of supervised machine learning techniques for diagnosing mode of delivery in medical sciences
Hussain, Syeda Sajida, Riaz, Rabia, Fatima, Tooba, Rizvi, Sanam Shehla, Riaz, Farina and Kwon, Se Jin. 2019. "A comparative study of supervised machine learning techniques for diagnosing mode of delivery in medical sciences." International Journal of Advanced Computer Science and Applications. 10 (12), pp. 120-125. https://doi.org/10.14569/IJACSA.2019.0101216
Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition
Huynh, Anh Ngoc-Lan, Deo, Ravinesh C., Ali, Mumtaz, Abdulla, Shahab and Raj, Nawin. 2021. "Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition." Applied Energy. 298, pp. 1-19. https://doi.org/10.1016/j.apenergy.2021.117193
A new framework for classification of multi-category hand grasps using EMG signals
Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab, Siuly, Siuly, Green, Jonathan H. and Deo, Ravinesh C.. 2021. "A new framework for classification of multi-category hand grasps using EMG signals." Artificial Intelligence in Medicine. 112, pp. 1-14. https://doi.org/10.1016/j.artmed.2020.102005
Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6
Epileptic Seizures Detection Based on Non-linear Characteristics Coupled with Machine Learning Techniques
Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab and Green, Jonathan H.. 2020. "Epileptic Seizures Detection Based on Non-linear Characteristics Coupled with Machine Learning Techniques." Rahman, Atta-ur- and Amtul, Zareen (ed.) Frontiers in Clinical Drug Research: CNS and Neurological Disorders. Sharjah, United Arab Emirates. Bentham Science Publishers. pp. 23-39
Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network
Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2020. "Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications." Expert Systems with Applications. 161. https://doi.org/10.1016/j.eswa.2020.113676
Student perceptions of mathematics readiness from a university preparatory program to undergraduate studies
Robinson, Clare, Galligan, Linda, Hussain, Zanubia, Abdulla, Shahab, Frederiks, Anita and Wandel, Andrew. 2019. "Student perceptions of mathematics readiness from a university preparatory program to undergraduate studies." Adults Learning Mathematics: An International Journal. 14 (2), pp. 6-22.
Spectral density constraints on wireless communication
Alhasnawi, Mohammad Kaisb Layous, Abdulla, Shahab, Fatseas, David and Addie, Ronald G.. 2020. "Spectral density constraints on wireless communication." Heliyon. 6 (5), pp. 1-7. https://doi.org/10.1016/j.heliyon.2020.e03979
Robust approach for depth of anaesthesia assessment based on hybrid transform and statistical features
Diykh, Mohammed, Miften, Firas Sabar, Abdulla, Shahab, Saleh, Khalid and Green, Jonathan H.. 2020. "Robust approach for depth of anaesthesia assessment based on hybrid transform and statistical features." IET Science, Measurement and Technology. 14 (1), pp. 128-136. https://doi.org/10.1049/iet-smt.2018.5393
EEG sleep stages identification based on weighted undirected complex networks
Diykh, Mohammed, Li, Yan and Abdulla, Shahab. 2020. "EEG sleep stages identification based on weighted undirected complex networks." Computer Methods and Programs in Biomedicine. 184, pp. 1-14. https://doi.org/10.1016/j.cmpb.2019.105116
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals
Diykh, Mohammed, Abdulla, Shahab, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals." Biomedical Signal Processing and Control. 54, pp. 1-10. https://doi.org/10.1016/j.bspc.2019.101611
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm
Abdulla, Shahab, Diykh, Mohammed, Lafta, Raid Luaibi, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm." Expert Systems with Applications. 138, pp. 1-15. https://doi.org/10.1016/j.eswa.2019.07.007
An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2020. "An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions." IEEE Transactions on Intelligent Transportation Systems. 21 (2), pp. 553-564. https://doi.org/10.1109/TITS.2019.2897990
A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, S. and Abdulla, Shahab. 2019. "A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification." Journal of Neuroscience Methods. 312, pp. 43-52. https://doi.org/10.1016/j.jneumeth.2018.11.014
A new approach to spread-spectrum OFDM
Alhasnawi, Mohammad Kaisb Layous, Addie, Ronald G. and Abdulla, Shahab. 2018. "A new approach to spread-spectrum OFDM." 15th International Joint Conference on e-Business and Telecommunications (ICETE 2018) - Volume 1: DCNET, ICE-B, OPTICS, SIGMAP and WINSYS. Porto, Portugal 26 - 28 Jul 2018 https://doi.org/10.5220/0006828602810288
Epileptic seizures detection in EEGs blending frequency domain with information gain technique
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly and Abdulla, Shahab. 2019. "Epileptic seizures detection in EEGs blending frequency domain with information gain technique." Soft Computing. 23 (1), pp. 227-239. https://doi.org/10.1007/s00500-018-3487-0
Epileptic EEG signal classification using optimum allocation based power spectral density estimation
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly and Abdulla, Shahab. 2018. "Epileptic EEG signal classification using optimum allocation based power spectral density estimation." IET Signal Processing. 12 (6), pp. 738-747. https://doi.org/10.1049/iet-spr.2017.0140
The perceived public value of social media in Queensland local Councils
Attiya, Ahmed Muyed, Cater-Steel, Aileen, Soar, Jeffrey and Abdulla, Shahab. 2017. "The perceived public value of social media in Queensland local Councils." Riemer, Kai, Indulska, Marta and Tuunainen, Virpi Kristiina (ed.) 28th Australasian Conference on Information Systems (ACIS 2017). Hobart, Australia 04 - 06 Dec 2017 Hobart, Australia.
Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly, Abdulla, Shahab and Wen, Paul. 2017. "Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction." Siuly, Siuly, Huang, Zhisheng, Aickelin, Uwe, Zhou, Rui, Wang, Hua, Zhang, Yanchun and Klimenko, Stanislav (ed.) 6th International Conference on Health Information Science (HIS 2017). Moscow, Russian Federation 07 - 09 Oct 2017 Germany. https://doi.org/10.1007/978-3-319-69182-4_6
Nursing students’ readiness for the numeracy needs of their program: students’ perspective
Galligan, Linda, Frederiks, Anita, Wandel, Andrew P., Robinson, Clare, Abdulla, Shahab and Hussain, Zanubia. 2017. "Nursing students’ readiness for the numeracy needs of their program: students’ perspective." Adults Learning Mathematics: An International Journal. 12 (1), pp. 27-38.
Person identification by gait analysis using photogrammetry techniques and foot pressure sensing matt
Majeed, Ammar, Chong, Albert K. and Abdulla, Shahab. 2017. "Person identification by gait analysis using photogrammetry techniques and foot pressure sensing matt." Al-Jumaily, Adel Ali, Barifcani, Ahmed and Al-Jumaily, Ahmed (ed.) 1st MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017). Melbourne, Australia 05 - 06 Dec 2017 Melbourne, Australia.
Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2018. "Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images." Expert Systems with Applications. 92, pp. 216-235. https://doi.org/10.1016/j.eswa.2017.09.036
Depth of anaesthesia patient models and control
Abdulla, Shahab and Wen, Peng. 2011. "Depth of anaesthesia patient models and control." Guo, Shuxiang, Touge, Tetsuo and Xiufen, Ye (ed.) 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011). Harbin, China 22 - 25 May 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2011.5876701
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection
Al Ghayab, Hadi, Li, Yan, Abdulla, Shahab, Diykh, Mohammed and Wan, Xiangkui. 2016. "Classification of epileptic EEG signals based on simple random sampling and sequential feature selection." Brain Informatics. 3 (2), pp. 85-91. https://doi.org/10.1007/s40708-016-0039-1
Excel files of bispectral index (BIS), anaesthesia levels and nominal patient data based on sensitivity to anaesthesia
Abdulla, Shahab. Excel files of bispectral index (BIS), anaesthesia levels and nominal patient data based on sensitivity to anaesthesia. Toowoomba.
Students' mathematical preparation: differences in staff and student perceptions
Wandel, Andrew P., Robinson, Clare, Abdulla, Shahab, Dalby, Tim, Frederiks, Anita and Galligan, Linda. 2015. "Students' mathematical preparation: differences in staff and student perceptions." International Journal of Innovation in Science and Mathematics Education. 23 (1), pp. 82-93.
Students' mathematical preparation Part A: lecturers' perceptions
Galligan, Linda, Wandel, Andrew, Pigozzo, Robyn, Frederiks, Anita, Robinson, Clare, Abdulla, Shahab and Dalby, Tim. 2013. "Students' mathematical preparation Part A: lecturers' perceptions." Deborah, King, Birgit, Loch and Leanne, Rylands (ed.) 9th Delta Conference of Teaching and Learning of Undergraduate Mathematics and Statistics 2013: Shining Through the Fog. Kiama, Australia 24 - 29 Nov 2013 Sydney, Australia.
Students' mathematical preparation Part B: students' perceptions
Dalby, Tim, Robinson, Clare, Abdulla, Shahab, Galligan, Linda, Frederiks, Anita, Pigozzo, Robyn and Wandel, Andrew. 2013. "Students' mathematical preparation Part B: students' perceptions." King, Deborah, Loch, Birgit and Rylands, Leanne (ed.) 9th Delta Conference of Teaching and Learning of Undergraduate Mathematics and Statistics 2013: Shining Through the Fog. Kiama, Australia 24 - 29 Nov 2013 Sydney, Australia.
Model based predictive control of depth of anaesthesia
Abdulla, Shahab, Wen, Peng, Zude, Zhou and Quan, Liu. 2012. "Model based predictive control of depth of anaesthesia." Chih-Hsing, Chu, Smith, Shana and Hong, Hocheng (ed.) 2012 International Conference on Innovative Design and Manufacturing (ICIDM 2012). Taipei, Taiwan 12 - 14 Dec 2012 Taiwan.
The effects of time-delay on feedback control of depth of anesthesia
Abdulla, Shahab A. and Wen, Peng. 2012. "The effects of time-delay on feedback control of depth of anesthesia." Zhang, Yuan-Ting, Naghavi, Morteza, Bonato, Paolo and Carmen, C. Y. Poon (ed.) 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). Hong Kong and Shenzhen, China 02 - 07 Jan 2012 Hong Kong, China. https://doi.org/10.1109/BHI.2012.6211747
Depth of anaesthesia control investigation using robust deadbeat control technique
Abdulla, Shahab and Wen, Peng. 2012. "Depth of anaesthesia control investigation using robust deadbeat control technique." Tetsuo, Kobayashi, Tetsuo, Touge, Hisao, Tachibana and Jinglong, Wu (ed.) 2012 International Conference on Complex Medical Engineering (ICME 2012). Kobe, Japan 01 - 04 Jul 2012 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2012.6275636
Depth of anaesthesia control techniques and human body models
Abdulla, Shahab Anna. 2012. Depth of anaesthesia control techniques and human body models. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Convection drying process modeling and simulation study based on tomato
Shahab, Anna, Wen, Peng and Richard, George. 2009. "Convection drying process modeling and simulation study based on tomato." Giannoccaro, Nicola Ivan and Klingajay, Mongkorn (ed.) International Conference on Robotics, Informatics, Intelligence Control System Technology (RIIT 2009). Bangkok, Thailand 11 - 14 Dec 2009 Bangkok, Thailand.
Fruit drying process: analysis, modeling and simulation
Abdulla, Shahab, Wen, Paul, Landers, Richard and Yousif, B. F.. 2011. "Fruit drying process: analysis, modeling and simulation." Scientific Research and Essays. 6 (23), pp. 4915-4924.
Robust internal model control for depth of anaesthesia
Abdulla, Shahab Anna and Wen, Peng. 2011. "Robust internal model control for depth of anaesthesia." International Journal of Mechatronics and Automation. 1 (1), pp. 1-8. https://doi.org/10.1504/IJMA.2011.039150
The design and investigation of model based internal model control for the regulation of hypnosis
Abdulla, Shahab, Wen, Peng and Xiang, Wei. 2010. "The design and investigation of model based internal model control for the regulation of hypnosis." Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu (ed.) IEEE/NANOMED 2010: Promoting Good Health with Nanotechnology. Hong Kong, China 05 - 09 Dec 2010 Hong Kong. https://doi.org/10.1109/NANOMED.2010.5749833
Depth of anesthesia control using internal model control techniques
Anna, Shahab and Wen, Peng. 2010. "Depth of anesthesia control using internal model control techniques." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558825