Abstract
Cyber-physical systems (CPS) are physical systems with a computing and communication center that monitors,coordinates and integrate the operations of said system. CPS enables the organizations to live monitor networks, patients, and systems. This live monitoring, generates vast amount of data everyday and makes the new title called big-data. The data, itself without any processing, is useless, so, machine learning and data mining techniques are required to extract valuable information from it. In this chapter, the importance of using cyber-physical systems and big-data in healthcare sector, as a critical area, is described and the challenges and opportunities of them are discussed. To achieve this goal, the massive number of publications from various well-known libraries were extracted and investigated.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
E.A. Lee, S.A. Seshia, Introduction to Embedded Systems. A Cyber-Physical Systems Approach, 2nd edn. (MIT Press, Cambridge, 2017)
E.R. Griffor, C. Greer, D.A. Wollman, M.J. Burns, Framework for cyber-physical systems: volume 1, overview. Tech. Rep., National Institute of Standards and Technology, Gaithersburg (2017)
R. Rajkumar, I. Lee, L. Sha, J. Stankovic, Cyber-physical systems: the next computing revolution, in Design Automation Conference (2010), pp. 731–736
J. Sakhnini, H. Karimipour, A. Dehghantanha, Smart grid cyber attacks detection using supervised learning and heuristic feature selection, in IEEE SEGE 2019 (2019)
W.L. Chang, NIST big data interoperability framework: volume 1, definitions, special publication (NIST SP)-1500–1, (2015)
A. Oussous, F.Z. Benjelloun, A. Ait Lahcen, S. Belfkih, Big data technologies: a survey. J. King Saud Univ. Comput. Inf. Sci. 30(4), 431–448 (2018)
J. Zhang, W. Shi, Y. Duan, S. Liu, Industrial big data analytics, in 2015 IEEE/ACM 1st International Workshop on Big Data Software Engineering (2015), pp. 1–3
G. Harerimana, B. Jang, J.W. Kim, H.K. Park, Health big data analytics: a technology survey. IEEE Access 6, 65661–65678 (2018)
D.W. McKee, S.J. Clement, J. Almutairi, J. Xu, Survey of advances and challenges in intelligent autonomy for distributed cyber-physical systems. CAAI Trans. Intell. Technol. 3(2), 75–82 (2018)
Y. Zhang, M. Qiu, S. Member, C.-W. Tsai, Health-CPS: healthcare cyber-physical system assisted by cloud and big data. IEEE Syst. J. 11(1), 1–8 (2015)
Y. Wang, L.A. Kung, T.A. Byrd, Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technol. Forecast. Soc. Chang. 126, 3–13 (2018)
A. Dehghantanha, R. Mahmod, N. Udzir, Z. Ahmad Zulkarnain, User-centered privacy and trust model in cloud computing systems, in Computer and Network Technology (2010), pp. 326–332
J. Archenaa, E.A. Anita, A survey of big data analytics in healthcare and government. Proc. Comput. Sci. 50, 408–413 (2015)
P. Kaur, M. Sharma, M. Mittal, Big data and machine learning based secure healthcare framework. Proc. Comput. Sci. 132, 1049–1059 (2018)
F.J. Wu, Y.F. Kao, Y.C. Tseng, From wireless sensor networks towards cyber physical systems. Pervasive Mob. Comput. 7(4), 397–413 (2011)
R.A. Ariyaluran Habeeb, F. Nasaruddin, A. Gani, I.A. Targio Hashem, E. Ahmed, M. Imran, Real-time big data processing for anomaly detection: a survey. Int. J. Inf. Manag. 45, 289–307 (2019)
H. Karimipour, S. Member, V. Dinavahi, S. Member, Parallel domain-decomposition-based distributed state estimation for large-scale power systems. IEEE Trans. Ind. Appl. 52(2), 1265–1269 (2016)
V. Palanisamy, R. Thirunavukarasu, Implications of big data analytics in developing healthcare frameworks - a review. J. King Saud Univ. Comput. Inf. Sci. 31, 415–425 (2019)
R.M. Parizi, L. Guo, Y. Bian, A. Azmoodeh, A. Dehghantanha, K.R. Choo, Cyberpdf: smart and secure coordinate-based automated health pdf data batch extraction, in 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (2018), pp. 106–111
R. Patgiri, A. Ahmed, Big data: The v’s of the game changer paradigm, in 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (2016), pp. 17–24
W. Inoubli, S. Aridhi, H. Mezni, M. Maddouri, E. Mephu Nguifo, An experimental survey on big data frameworks. Futur. Gener. Comput. Syst. 86, 546–564 (2018)
A. Pashazadeh, N.J. Navimipour, Big data handling mechanisms in the healthcare applications: a comprehensive and systematic literature review. J. Biomed. Inform. 82, 47–62 (2018)
T. Estrada, B. Zhang, P. Cicotti, R.S. Armen, M. Taufer, A scalable and accurate method for classifying protein–ligand binding geometries using a MapReduce approach. Comput. Biol. Med. 42, 758–771 (2012)
Z.-H. You, J.-Z. Yu, L. Zhu, S. Li, Z.-K. Wen, A MapReduce based parallel SVM for large-scale predicting protein–protein interactions. Neurocomputing 145, 37–43 (2014)
H. Chen, H. Zhao, J. Shen, R. Zhou, Q. Zhou, Supervised machine learning model for high dimensional gene data in colon cancer detection, in 2015 IEEE International Congress on Big Data (2015), pp. 134–141
M. Priya, P.R. Kumar, A novel intelligent approach for predicting atherosclerotic individuals from big data for healthcare. Int. J. Protein Res. 53(24), 7517–7532 (2015)
N. Mehta, A. Pandit, Concurrence of big data analytics and healthcare: a systematic review. Int. J. Med. Inform. 114, 57–65 (2018)
W. Raghupathi, V. Raghupathi, Big data analytics in healthcare: promise and potential. Health Inf. Sci. Syst. 2, 3 (2014)
B.A. Banerjee, K.K. Venkatasubramanian, T. Mukherjee, S.K.S. Gupta, Ensuring safety, security, and cyber - physical systems. Proc. IEEE 100(1), 283–299 (2012)
K. Abouelmehdi, A. Beni-Hssane, H. Khaloufi, M. Saadi, Big data security and privacy in healthcare: a review. Proc. Comput. Sci. 113, 73–80 (2017)
P.G. Shinde, P. Motwani, P. Shinde, Survey on malware detection techniques. Int. J. Mod. Trends Eng. Res. 74–79 (2015)
S. Mohammadi, V. Desai, H. Karimipour, Multivariate mutual information-based feature selection for cyber intrusion detection, in 2018 IEEE Electrical Power and Energy Conference (EPEC 2018) (2018)
E.M. Dovom, A. Azmoodeh, A. Dehghantanha, D.E. Newton, R.M. Parizi, H. Karimipour, Fuzzy pattern tree for edge malware detection and categorization in IoT. J. Syst. Archit. 97, 1–7 (2019)
B. MohammadReza, F. Derakhshan, H. Karimipour, A layered intrusion detection system for critical infrastructure using machine learning, in IEEE International Conference on Smart Energy Grid Engineering, Oshawa (2019), pp. 1–5
S. Geris, H. Karimipour, A feature selection-based approach for joint cyber-attack detection and state estimation, in IEEE International Conference on Smart Energy Grid Engineering (SEGE), Oshawa (2019), pp. 1–5
S. Mohammadi, H. Mirvaziri, M. Ghazizadeh-Ahsaee, H. Karimipour, Cyber intrusion detection by combined feature selection algorithm. J. Inf. Secur. Appl. 44, 80–88 (2019)
H. Karimipour, A. Dehghantanha, R.M. Parizi, K.R. Choo, H. Leung, A deep and scalable unsupervised machine learning system for cyber-attack detection in large-scale smart grids. IEEE Access 7, 80778–80788 (2019)
H. Karimipour, V. Dinavahi, Robust massively parallel dynamic state estimation of power systems against cyber-attack. IEEE Access 6, 2984–2995 (2017)
C.A. Sagaran, A. Dehghantanha, R. Ramli, A user-centered context-sensitive privacy model in pervasive systems, in 2010 Second International Conference on Communication Software and Networks (2010), pp. 78–82
J. Wu, H. Li, S. Cheng, Z. Lin, The promising future of healthcare services: when big data analytics meets wearable technology. Inf. Manag. 53(8), 1020–1033 (2016). Big Data Commerce
A.T. Gjerdrum, H.D. Johansen, D. Johansen, Implementing informed consent as information-flow policies for secure analytics on ehealth data: principles and practices, in Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2016) (2016), pp. 107–112
H.M. Ruzbahani, H. Karimipour, Optimal incentive-based demand response management of smart households, in Conference Record - Industrial and Commercial Power Systems Technical Conference, vol. 2018 (2018), pp. 1–7
H. Karimipour, V. Dinavahi, On false data injection attack against dynamic state estimation on smart power grids, in 2017 5th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2017) (2017), pp. 388–393
J. Yao, A ten-year review of granular computing, in 2007 IEEE International Conference on Granular Computing (GRC 2007) (2007), pp. 734–734
T. Shah, A. Yavari, K. Mitra, S. Saguna, P.P. Jayaraman, F. Rabhi, R. Ranjan, Remote health care cyber-physical system: quality of service (QoS) challenges and opportunities, IET Cyber-Phys. Syst. Theory Appl. 1(1), 40–48 (2016)
J. Zhang, G.Y. Tian, A.M. Marindra, A.I. Sunny, A.B. Zhao, A review of passive RFID tag antenna-based sensors and systems for structural health monitoring applications. Sensors 17(2), 1–33 (2017)
M. Chen, Y. Ma, J. Song, C.F. Lai, B. Hu, Smart clothing: connecting human with clouds and big data for sustainable health monitoring. Mobile Netw. Appl. 21(5), 825–845 (2016)
S. Walker-Roberts, M. Hammoudeh, A. Dehghantanha, A systematic review of the availability and efficacy of countermeasures to internal threats in healthcare critical infrastructure. IEEE Access 6, 25167–25177 (2018)
M. Conti, T. Dargahi, A. Dehghantanha, Cyber Threat Intelligence: Challenges and Opportunities (Springer, Berlin, 2018), pp. 1–6
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Cabello, J.C., Karimipour, H., Jahromi, A.N., Dehghantanha, A., Parizi, R.M. (2020). Big-Data and Cyber-Physical Systems in Healthcare: Challenges and Opportunities. In: Choo, KK., Dehghantanha, A. (eds) Handbook of Big Data Privacy. Springer, Cham. https://doi.org/10.1007/978-3-030-38557-6_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-38557-6_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-38556-9
Online ISBN: 978-3-030-38557-6
eBook Packages: Computer ScienceComputer Science (R0)