Smart City Gnosys

Smart city article details

Title	A Machine Learning-Based Smart Framework For Intrusion Detection In Cyber-Physical Systems
ID_Doc	2485
Authors	Hitakshi; Sood V.M.; Mehta K.; Kaur G.
Year	2024
Published	Intelligent Security Solutions for Cyber-Physical Systems
DOI	http://dx.doi.org/10.1201/9781003406105-12
Abstract	Cyber-physical systems (CPS) are networked systems that can actively observe, assess, and respond to their surroundings. They are the outcome of a groundbreaking fusion of physical and digital qualities. CPSs are used in a variety of industries, including smart cities, healthcare, manufacturing, and energy. Embedded systems, sensors, actuators, and communication network technologies, as well as CPSs, are used to bridge the digital-physical gap. CPS enables intelligent decision-making, automation, and greater control over complex systems through the seamless integration of software, hardware, and physical processes. This chapter summarizes the investigation into the machine learning-based smart architecture for intrusion detection in CPS. Using machine learning methods, CPS can assess massive amounts of data from sensors, actuators, and other sources. This skill helps CPS to spot patterns, provide forecasts, and improve overall performance. © 2024 selection and editorial matter, Intelligent Security Solutions for Cyber-Physical Systems; individual chapters, the contributors.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
33340	0.916	Dotty F.A.; Asnar Y.	Intrusion Detection System Architecture For Cyber-Physical System	Proceedings of the International Conference on Electrical Engineering and Informatics (2023)
32666	0.914	Reddy D.K.K.; Rao B.K.; Rashid T.A.	Intelligent Under Sampling Based Ensemble Techniques For Cyber-Physical Systems In Smart Cities	Intelligent Systems Reference Library, 60 (2024)
16919	0.891	Jiang C.; Ma Y.; Chen H.; Zheng Y.; Gao S.; Cheng S.	Cyber Physics System: A Review	Library Hi Tech, 38, 1 (2020)
58355	0.886	Pannerselvam K.; Rajiakodi S.	Towards Smarter, Interconnected Futures: The Crucial Role Of Data In Cyber-Physical Systems	Intelligent Cyber-Physical Systems for Healthcare Solutions: From Theory to Practice (2024)
44332	0.885	Wang D.; Fangyu L.I.; Kaibo L.I.U.; Zhang X.	Real-Time Cyber-Physical Security Solution Leveraging An Integrated Learning-Based Approach	ACM Transactions on Sensor Networks, 20, 2 (2024)
17320	0.88	Alwan A.A.; Ciupala M.A.; Brimicombe A.J.; Ghorashi S.A.; Baravalle A.; Falcarin P.	Data Quality Challenges In Large-Scale Cyber-Physical Systems: A Systematic Review	Information Systems, 105 (2022)
7360	0.879	Brahmia M.-E.-A.; Babouche S.; Ouchani S.; Zghal M.	An Adaptive Attack Prediction Framework In Cyber-Physical Systems	2022 9th International Conference on Software Defined Systems, SDS 2022 (2022)
47592	0.876	Ghosh U.; Mhlanga F.; Rawat D.B.	Secure And Smart Cyber-Physical Systems	Secure and Smart Cyber-Physical Systems (2024)
4245	0.875	Abed A.Z.M.; Abdelkader T.; Hashem M.	A Review On Cyber-Physical-Social Systems	Proceedings - 11th IEEE International Conference on Intelligent Computing and Information Systems, ICICIS 2023 (2023)
47976	0.872	Alsulami A.A.; Al-Haija Q.A.; Alturki B.; Alqahtani A.; Alsini R.	Security Strategy For Autonomous Vehicle Cyber-Physical Systems Using Transfer Learning	Journal of Cloud Computing, 12, 1 (2023)