Secure blockchain enabled Cyber–physical systems in healthcare using deep belief network with ResNet model
Cyber–physical system (CPS) is the incorporation of physical processes with processing and data transmission. Cybersecurity is a primary and challenging issue in healthcare due to the legal and ethical perspective of the patient’s medical data. Therefore, the design of CPS model for healthcare appli...
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| Vydáno v: | Journal of parallel and distributed computing Ročník 153; s. 150 - 160 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Inc
01.07.2021
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| Témata: | |
| ISSN: | 0743-7315, 1096-0848 |
| On-line přístup: | Získat plný text |
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| Abstract | Cyber–physical system (CPS) is the incorporation of physical processes with processing and data transmission. Cybersecurity is a primary and challenging issue in healthcare due to the legal and ethical perspective of the patient’s medical data. Therefore, the design of CPS model for healthcare applications requires special attention for ensuring data security. To resolve this issue, this paper proposes a secure intrusion, detection with blockchain based data transmission with classification model for CPS in healthcare sector. The presented model performs data acquisition process using sensor devices and intrusion detection takes place using deep belief network (DBN) model. In addition, the presented model uses a multiple share creation (MSC) model for the generation of multiple shares of the captured image, and thereby achieves privacy and security. Besides, the blockchain technology is applied for secure data transmission to the cloud server, which executes the residual network (ResNet) based classification model to identify the presence of the disease. The experimental validation of the presented model takes place using NSL-KDD 2015, CIDDS-001 and ISIC dataset. The simulation outcome pointed out the effective outcome of the presented model.
•Secure intrusion detection with blockchain in the healthcare sector is proposed.•It involves a series of cyber–physical system and deep learning processes.•The presented model takes place on NSL-KDD 2015, CIDDS-001, and ISIC dataset.•Presented DBN model has achieved a detection rate of 98.95% and 98.94% on the applied datasets.•Effective classification performance with ResNet 101 model achieving maximum sensitivity. |
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| AbstractList | Cyber–physical system (CPS) is the incorporation of physical processes with processing and data transmission. Cybersecurity is a primary and challenging issue in healthcare due to the legal and ethical perspective of the patient’s medical data. Therefore, the design of CPS model for healthcare applications requires special attention for ensuring data security. To resolve this issue, this paper proposes a secure intrusion, detection with blockchain based data transmission with classification model for CPS in healthcare sector. The presented model performs data acquisition process using sensor devices and intrusion detection takes place using deep belief network (DBN) model. In addition, the presented model uses a multiple share creation (MSC) model for the generation of multiple shares of the captured image, and thereby achieves privacy and security. Besides, the blockchain technology is applied for secure data transmission to the cloud server, which executes the residual network (ResNet) based classification model to identify the presence of the disease. The experimental validation of the presented model takes place using NSL-KDD 2015, CIDDS-001 and ISIC dataset. The simulation outcome pointed out the effective outcome of the presented model.
•Secure intrusion detection with blockchain in the healthcare sector is proposed.•It involves a series of cyber–physical system and deep learning processes.•The presented model takes place on NSL-KDD 2015, CIDDS-001, and ISIC dataset.•Presented DBN model has achieved a detection rate of 98.95% and 98.94% on the applied datasets.•Effective classification performance with ResNet 101 model achieving maximum sensitivity. |
| Author | Gupta, B.B. El-Latif, Ahmed A. Abd Elhoseny, Mohamed Viet, Nin Ho Le Shankar, K. Nguyen, Gia Nhu |
| Author_xml | – sequence: 1 givenname: Gia Nhu surname: Nguyen fullname: Nguyen, Gia Nhu email: nguyengianhu@duytan.edu.vn organization: Faculty of Information Technology, Duy Tan University, Da Nang, 550000, Viet Nam – sequence: 2 givenname: Nin Ho Le surname: Viet fullname: Viet, Nin Ho Le email: holvietnin@dtu.edu.vn organization: Faculty of Information Technology, Duy Tan University, Da Nang, 550000, Viet Nam – sequence: 3 givenname: Mohamed surname: Elhoseny fullname: Elhoseny, Mohamed email: mohamed_elhoseny@mans.edu.eg organization: College of Computer Information Technology, American University in the Emirates, Dubai, United Arab Emirates – sequence: 4 givenname: K. surname: Shankar fullname: Shankar, K. email: drkshankar@ieee.org organization: Department of Computer Applications, Alagappa University, Karaikudi, India – sequence: 5 givenname: B.B. surname: Gupta fullname: Gupta, B.B. email: Gupta.brij@gmail.com organization: Computer Engineering Department, NIT Kurukshetra, Kurukshetra, India – sequence: 6 givenname: Ahmed A. Abd orcidid: 0000-0002-5068-2033 surname: El-Latif fullname: El-Latif, Ahmed A. Abd email: a.rahiem@gmail.com organization: Mathematics and Computer Science Department, Faculty of Science, Menoufia University, P.O. Box 32511, Shebin El-Koom, Egypt |
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| Cites_doi | 10.1109/TAC.2014.2351951 10.1145/2093698.2093852 10.1016/j.future.2008.12.001 10.1109/TPDS.2012.182 10.1109/TAC.2014.2351671 10.1007/s11036-014-0499-6 10.1109/ACCESS.2020.2981337 10.1109/CC.2017.7868160 10.1109/JPROC.2010.2060451 10.3390/diagnostics9030072 10.1109/JPROC.2012.2189915 10.1016/j.comcom.2006.02.011 10.1109/MCOM.2014.6871677 10.1007/s11042-017-5537-5 10.1109/SURV.2012.060912.00182 10.1109/TPDS.2011.65 10.1109/TAC.2014.2351972 10.1016/j.ipm.2020.102468 10.1155/2013/917923 10.1109/TAC.2014.2351672 10.1016/j.ins.2018.02.060 10.1109/ACCESS.2020.2999468 |
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| References | Ünver, Ayan (b22) 2019; 9 Warneke, Kao (b27) 2011; 22 Gupta, Quamara (b10) 2020; 32 Alsmirat, Al-Alem, Al-Ayyoub, Jararweh (b3) 2019; 78 Khazaei, Mišić, Mišić, Rashwand (b12) 2012; 24 Rajhans, Bhave, Ruchkin, Krogh, Garlan, Platzer, Schmerl (b17) 2014; 59 Milenković, Otto, Jovanov (b15) 2006; 29 A. Banerjee, S.K. Gupta, G. Fainekos, G. Varsamopoulos, Towards modeling and analysis of cyber-physical medical systems, in: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, October, 2011, pp. 1–5. Esposito, Ficco, Gupta (b9) 2021; 58 Masud, Gaba, Alqahtani, Muhammad, Gupta (b14) 2020 Li, Deng, Gupta, Wang, Choi (b13) 2019; 479 Trimpe, D’Andrea (b21) 2014; 59 Vamvoudakis, Hespanha, Sinopoli, Mo (b23) 2014; 59 Sedik, Hammad, Abd El-Samie, Gupta, Abd El-Latif (b19) 2021 Wan, Zhang, Zhao, Yang, Lloret (b25) 2014; 52 Dataset: Skin lesion Image Dataset, The International Skin Imaging Collaboration, [online] Wan, Zhang, Sun, Lin, Zou, Cai (b24) 2014; 19 Baliga, Ayre, Hinton, Tucker (b4) 2010; 99 . Alamri, Ansari, Hassan, Hossain, Alelaiwi, Hossain (b2) 2013; 9 Demirel, Zou, Soldati, Johansson (b8) 2014; 59 Buyya, Yeo, Venugopal, Broberg, Brandic (b6) 2009; 25 Rajkumar (b18) 2012; 100 Wang, Abid, Lee, Shu, Xia (b26) 2011 Xiao, Xiao (b28) 2012; 15 Abou-Nassar, Iliyasu, El-Kafrawy, Song, Bashir, Abd El-Latif (b1) 2020; 8 Hu, Xie, Kuang, Zhao (b11) 2012 Shankar, Eswaran (b20) 2017; 14 Raj, Shobana, Pustokhina, Pustokhin, Gupta, Shankar (b16) 2020; 8 Wan (10.1016/j.jpdc.2021.03.011_b24) 2014; 19 Vamvoudakis (10.1016/j.jpdc.2021.03.011_b23) 2014; 59 Khazaei (10.1016/j.jpdc.2021.03.011_b12) 2012; 24 Li (10.1016/j.jpdc.2021.03.011_b13) 2019; 479 Rajhans (10.1016/j.jpdc.2021.03.011_b17) 2014; 59 Demirel (10.1016/j.jpdc.2021.03.011_b8) 2014; 59 Esposito (10.1016/j.jpdc.2021.03.011_b9) 2021; 58 Gupta (10.1016/j.jpdc.2021.03.011_b10) 2020; 32 Wan (10.1016/j.jpdc.2021.03.011_b25) 2014; 52 Hu (10.1016/j.jpdc.2021.03.011_b11) 2012 Alsmirat (10.1016/j.jpdc.2021.03.011_b3) 2019; 78 Buyya (10.1016/j.jpdc.2021.03.011_b6) 2009; 25 Wang (10.1016/j.jpdc.2021.03.011_b26) 2011 Abou-Nassar (10.1016/j.jpdc.2021.03.011_b1) 2020; 8 Xiao (10.1016/j.jpdc.2021.03.011_b28) 2012; 15 Baliga (10.1016/j.jpdc.2021.03.011_b4) 2010; 99 Ünver (10.1016/j.jpdc.2021.03.011_b22) 2019; 9 Milenković (10.1016/j.jpdc.2021.03.011_b15) 2006; 29 Rajkumar (10.1016/j.jpdc.2021.03.011_b18) 2012; 100 10.1016/j.jpdc.2021.03.011_b7 10.1016/j.jpdc.2021.03.011_b5 Sedik (10.1016/j.jpdc.2021.03.011_b19) 2021 Trimpe (10.1016/j.jpdc.2021.03.011_b21) 2014; 59 Raj (10.1016/j.jpdc.2021.03.011_b16) 2020; 8 Masud (10.1016/j.jpdc.2021.03.011_b14) 2020 Shankar (10.1016/j.jpdc.2021.03.011_b20) 2017; 14 Alamri (10.1016/j.jpdc.2021.03.011_b2) 2013; 9 Warneke (10.1016/j.jpdc.2021.03.011_b27) 2011; 22 |
| References_xml | – start-page: 25 year: 2012 end-page: 30 ident: b11 article-title: Review of cyber-physical system architecture publication-title: 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops – volume: 8 year: 2020 ident: b1 article-title: DITrust chain: towards blockchain-based trust models for sustainable healthcare IoT systems publication-title: IEEE Access – volume: 59 start-page: 3252 year: 2014 end-page: 3265 ident: b8 article-title: Modular design of jointly optimal controllers and forwarding policies for wireless control publication-title: IEEE Trans. Automat. Control – volume: 22 start-page: 985 year: 2011 end-page: 997 ident: b27 article-title: Exploiting dynamic resource allocation for efficient parallel data processing in the cloud publication-title: IEEE Trans. Parallel Distrib. Syst. – volume: 8 start-page: 58006 year: 2020 end-page: 58017 ident: b16 article-title: Optimal feature selection-based medical image classification using deep learning model in internet of medical things publication-title: IEEE Access – volume: 99 start-page: 149 year: 2010 end-page: 167 ident: b4 article-title: Green cloud computing: Balancing energy in processing, storage, and transport publication-title: Proc. IEEE – volume: 479 start-page: 432 year: 2019 end-page: 447 ident: b13 article-title: A novel cnn based security guaranteed image watermarking generation scenario for smart city applications publication-title: Inform. Sci. – volume: 32 year: 2020 ident: b10 article-title: An overview of internet of things (iot): architectural aspects, challenges, and protocols publication-title: Concurr. Comput.Practice Exper. – volume: 15 start-page: 843 year: 2012 end-page: 859 ident: b28 article-title: Security and privacy in cloud computing publication-title: IEEE Commun. Surv. Tutor. – reference: A. Banerjee, S.K. Gupta, G. Fainekos, G. Varsamopoulos, Towards modeling and analysis of cyber-physical medical systems, in: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, October, 2011, pp. 1–5. – volume: 19 start-page: 153 year: 2014 end-page: 160 ident: b24 article-title: VCMIA: A novel architecture for integrating vehicular cyber-physical systems and mobile cloud computing publication-title: Mob. Netw. Appl. – year: 2020 ident: b14 article-title: A lightweight and robust secure key establishment protocol for internet of medical things in covid-19 patients care publication-title: IEEE Internet Things J. – reference: Dataset: Skin lesion Image Dataset, The International Skin Imaging Collaboration, [online]: – volume: 58 year: 2021 ident: b9 article-title: Blockchain-based authentication and authorization for smart city applications publication-title: Inform. Process. Manage. – volume: 78 start-page: 3649 year: 2019 end-page: 3688 ident: b3 article-title: Impact of digital fingerprint image quality on the fingerprint recognition accuracy publication-title: Multimedia Tools Appl. – volume: 25 start-page: 599 year: 2009 end-page: 616 ident: b6 article-title: Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility publication-title: Future Gener. Comput. Syst. – volume: 59 start-page: 3266 year: 2014 end-page: 3281 ident: b21 article-title: Event-based state estimation with variance-based triggering publication-title: IEEE Trans. Automat. Control – volume: 24 start-page: 849 year: 2012 end-page: 861 ident: b12 article-title: Analysis of a pool management scheme for cloud computing centers publication-title: IEEE Trans. Parallel Distrib. Syst. – reference: . – start-page: 1 year: 2021 end-page: 18 ident: b19 article-title: Efficient deep learning approach for augmented detection of coronavirus disease publication-title: Neural Comput. Appl. – year: 2011 ident: b26 article-title: A secured health care application architecture for cyber-physical systems – volume: 59 start-page: 3178 year: 2014 end-page: 3193 ident: b17 article-title: Supporting heterogeneity in cyber-physical systems architectures publication-title: IEEE Trans. Automat. Control – volume: 52 start-page: 106 year: 2014 end-page: 113 ident: b25 article-title: Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions publication-title: IEEE Commun. Mag. – volume: 9 start-page: 72 year: 2019 ident: b22 article-title: Skin lesion segmentation in dermoscopic images with combination of YOLO and grabcut algorithm publication-title: Diagnostics – volume: 59 start-page: 3209 year: 2014 end-page: 3223 ident: b23 article-title: Detection in adversarial environments publication-title: IEEE Trans. Automat. Control – volume: 100 start-page: 1309 year: 2012 end-page: 1312 ident: b18 article-title: A cyber-physical future publication-title: Proc. IEEE – volume: 14 start-page: 118 year: 2017 end-page: 130 ident: b20 article-title: RGB based multiple share creation in visual cryptography with aid of elliptic curve cryptography publication-title: China Commun. – volume: 9 year: 2013 ident: b2 article-title: A survey on sensor-cloud: architecture, applications, and approaches publication-title: Int. J. Distrib. Sens. Netw. – volume: 29 start-page: 2521 year: 2006 end-page: 2533 ident: b15 article-title: Wireless sensor networks for personal health monitoring: Issues and an implementation publication-title: Comput. Commun. – ident: 10.1016/j.jpdc.2021.03.011_b7 – volume: 59 start-page: 3266 issue: 12 year: 2014 ident: 10.1016/j.jpdc.2021.03.011_b21 article-title: Event-based state estimation with variance-based triggering publication-title: IEEE Trans. Automat. Control doi: 10.1109/TAC.2014.2351951 – ident: 10.1016/j.jpdc.2021.03.011_b5 doi: 10.1145/2093698.2093852 – volume: 25 start-page: 599 issue: 6 year: 2009 ident: 10.1016/j.jpdc.2021.03.011_b6 article-title: Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2008.12.001 – volume: 24 start-page: 849 issue: 5 year: 2012 ident: 10.1016/j.jpdc.2021.03.011_b12 article-title: Analysis of a pool management scheme for cloud computing centers publication-title: IEEE Trans. Parallel Distrib. Syst. doi: 10.1109/TPDS.2012.182 – volume: 59 start-page: 3209 issue: 12 year: 2014 ident: 10.1016/j.jpdc.2021.03.011_b23 article-title: Detection in adversarial environments publication-title: IEEE Trans. Automat. Control doi: 10.1109/TAC.2014.2351671 – year: 2011 ident: 10.1016/j.jpdc.2021.03.011_b26 – volume: 19 start-page: 153 issue: 2 year: 2014 ident: 10.1016/j.jpdc.2021.03.011_b24 article-title: VCMIA: A novel architecture for integrating vehicular cyber-physical systems and mobile cloud computing publication-title: Mob. Netw. Appl. doi: 10.1007/s11036-014-0499-6 – volume: 8 start-page: 58006 year: 2020 ident: 10.1016/j.jpdc.2021.03.011_b16 article-title: Optimal feature selection-based medical image classification using deep learning model in internet of medical things publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2981337 – start-page: 25 year: 2012 ident: 10.1016/j.jpdc.2021.03.011_b11 article-title: Review of cyber-physical system architecture – volume: 14 start-page: 118 issue: 2 year: 2017 ident: 10.1016/j.jpdc.2021.03.011_b20 article-title: RGB based multiple share creation in visual cryptography with aid of elliptic curve cryptography publication-title: China Commun. doi: 10.1109/CC.2017.7868160 – volume: 99 start-page: 149 issue: 1 year: 2010 ident: 10.1016/j.jpdc.2021.03.011_b4 article-title: Green cloud computing: Balancing energy in processing, storage, and transport publication-title: Proc. IEEE doi: 10.1109/JPROC.2010.2060451 – volume: 9 start-page: 72 issue: 3 year: 2019 ident: 10.1016/j.jpdc.2021.03.011_b22 article-title: Skin lesion segmentation in dermoscopic images with combination of YOLO and grabcut algorithm publication-title: Diagnostics doi: 10.3390/diagnostics9030072 – volume: 32 issue: 21 year: 2020 ident: 10.1016/j.jpdc.2021.03.011_b10 article-title: An overview of internet of things (iot): architectural aspects, challenges, and protocols publication-title: Concurr. Comput.Practice Exper. – year: 2020 ident: 10.1016/j.jpdc.2021.03.011_b14 article-title: A lightweight and robust secure key establishment protocol for internet of medical things in covid-19 patients care publication-title: IEEE Internet Things J. – volume: 100 start-page: 1309 issue: Special Centennial Issue year: 2012 ident: 10.1016/j.jpdc.2021.03.011_b18 article-title: A cyber-physical future publication-title: Proc. IEEE doi: 10.1109/JPROC.2012.2189915 – volume: 29 start-page: 2521 issue: 13–14 year: 2006 ident: 10.1016/j.jpdc.2021.03.011_b15 article-title: Wireless sensor networks for personal health monitoring: Issues and an implementation publication-title: Comput. Commun. doi: 10.1016/j.comcom.2006.02.011 – volume: 52 start-page: 106 issue: 8 year: 2014 ident: 10.1016/j.jpdc.2021.03.011_b25 article-title: Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions publication-title: IEEE Commun. Mag. doi: 10.1109/MCOM.2014.6871677 – volume: 78 start-page: 3649 issue: 3 year: 2019 ident: 10.1016/j.jpdc.2021.03.011_b3 article-title: Impact of digital fingerprint image quality on the fingerprint recognition accuracy publication-title: Multimedia Tools Appl. doi: 10.1007/s11042-017-5537-5 – start-page: 1 year: 2021 ident: 10.1016/j.jpdc.2021.03.011_b19 article-title: Efficient deep learning approach for augmented detection of coronavirus disease publication-title: Neural Comput. Appl. – volume: 15 start-page: 843 issue: 2 year: 2012 ident: 10.1016/j.jpdc.2021.03.011_b28 article-title: Security and privacy in cloud computing publication-title: IEEE Commun. Surv. Tutor. doi: 10.1109/SURV.2012.060912.00182 – volume: 22 start-page: 985 issue: 6 year: 2011 ident: 10.1016/j.jpdc.2021.03.011_b27 article-title: Exploiting dynamic resource allocation for efficient parallel data processing in the cloud publication-title: IEEE Trans. Parallel Distrib. Syst. doi: 10.1109/TPDS.2011.65 – volume: 59 start-page: 3252 issue: 12 year: 2014 ident: 10.1016/j.jpdc.2021.03.011_b8 article-title: Modular design of jointly optimal controllers and forwarding policies for wireless control publication-title: IEEE Trans. Automat. Control doi: 10.1109/TAC.2014.2351972 – volume: 58 issue: 2 year: 2021 ident: 10.1016/j.jpdc.2021.03.011_b9 article-title: Blockchain-based authentication and authorization for smart city applications publication-title: Inform. Process. Manage. doi: 10.1016/j.ipm.2020.102468 – volume: 9 issue: 2 year: 2013 ident: 10.1016/j.jpdc.2021.03.011_b2 article-title: A survey on sensor-cloud: architecture, applications, and approaches publication-title: Int. J. Distrib. Sens. Netw. doi: 10.1155/2013/917923 – volume: 59 start-page: 3178 issue: 12 year: 2014 ident: 10.1016/j.jpdc.2021.03.011_b17 article-title: Supporting heterogeneity in cyber-physical systems architectures publication-title: IEEE Trans. Automat. Control doi: 10.1109/TAC.2014.2351672 – volume: 479 start-page: 432 year: 2019 ident: 10.1016/j.jpdc.2021.03.011_b13 article-title: A novel cnn based security guaranteed image watermarking generation scenario for smart city applications publication-title: Inform. Sci. doi: 10.1016/j.ins.2018.02.060 – volume: 8 year: 2020 ident: 10.1016/j.jpdc.2021.03.011_b1 article-title: DITrust chain: towards blockchain-based trust models for sustainable healthcare IoT systems publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2999468 |
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