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Frontiers of Information Technology & Electronic Engineering 2024年第2期25卷 225-236页

作者： Yajing MA Yuan WANG Zhanjie LI Xiangpeng XIE School of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing210003China Institute of Advanced Technology for Carbon NeutralityNanjing University of Posts and TelecommunicationsNanjing210023China

This article addresses the secure finite-time tracking problem via event-triggered command-filtered control for nonlinear time-delay cyber physical systems(CPSs)subject to cyber attacks.Under the attack circumstance,the output and state information of CPSs is unavailable for the feedback design,and the classical coordinate conversion of the iterative process is incompetent in relation to the tracking task.To solve this,a new coordinate conversion is proposed by considering the attack gains and the reference signal simultaneously.By employing the transformed variables,a modified fractional-order command-filtered signal is incorporated to overcome the complexity explosion issue,and the Nussbaum function is used to tackle the varying attack gains.By systematically constructing the Lyapunov-Krasovskii functional,an adaptive event-triggered mechanism is presented in detail,with which the communication resources are greatly saved,and the finite-time tracking of CPSs under cyber attacks is guaranteed.Finally,an example demonstrates the effectiveness.

关键词： cyber physical systems Finite-time tracking Event-triggered Command-filtered control Attacks

Chaotic Sandpiper Optimization Based Virtual Machine Scheduling for cyber-physical systems

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Computer systems Science & Engineering 2023年第2期44卷 1373-1385页

作者： P.Ramadevi T.Jayasankar V.Dinesh M.Dhamodaran Department of Electronics and Communication Engineering University College of EngineeringBIT CampusAnna UniversityTiruchirapalli620025India Department of Electronics and Communication Engineering Kongu Engineering CollegePerundurai638060India Department of Electronics and Communication Engineering M.Kumarasamy College of EngineeringKarur639113India

Recently,with the growth of cyber physical systems(CPS),several applications have begun to deploy in the CPS for connecting the cyber space with the physical scale effectively.Besides,the cloud computing(CC)enabled CPS offers huge processing and storage resources for CPS thatﬁnds helpful for a range of application areas.At the same time,with the massive development of applica-tions that exist in the CPS environment,the energy utilization of the cloud enabled CPS has gained signiﬁcant interest.For improving the energy effective-ness of the CC platform,virtualization technologies have been employed for resource management and the applications are executed via virtual machines(VMs).Since effective scheduling of resources acts as an important role in the design of cloud enabled CPS,this paper focuses on the design of chaotic sandpi-per optimization based VM scheduling(CSPO-VMS)technique for energy efﬁ-cient CPS.The CSPO-VMS technique is utilized for searching for the optimum VM migration solution and it helps to choose an effective scheduling strategy.The CSPO algorithm integrates the concepts of traditional SPO algorithm with the chaos theory,which substitutes the main parameter and combines it with the chaos.In order to improve the process of determining the global optimum solutions and convergence rate of the SPO algorithm,the chaotic concept is included in the SPO algorithm.The CSPO-VMS technique also derives aﬁtness function to choose optimal scheduling strategy in the CPS environment.In order to demonstrate the enhanced performance of the CSPO-VMS technique,a wide range of simulations were carried out and the results are examined under varying aspects.The simulation results ensured the improved performance of the CSPO-VMS technique over the recent methods interms of different measures.

关键词： Resource scheduling cyber physical systems cloud computing VM migration energy efﬁciency

Prediction-based Manufacturing Center Self-adaptive Demand Side Energy Optimization in cyber physical systems

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Chinese Journal of Mechanical Engineering 2014年第3期27卷 488-495页

作者： SUN Xinyao WANG Xue WU Jiangwei LIU Youda State Key Laboratory of Precision Measurement Technology and Instrument Tsinghua University

cyber physical systems（CPS） recently emerge as a new technology which can provide promising approaches to demand side management（DSM）, an important capability in industrial power systems. Meanwhile, the manufacturing center is a typical industrial power subsystem with dozens of high energy consumption devices which have complex physical dynamics. DSM, integrated with CPS, is an effective methodology for solving energy optimization problems in manufacturing center. This paper presents a prediction-based manufacturing center self-adaptive energy optimization method for demand side management in cyber physical systems. To gain prior knowledge of DSM operating results, a sparse Bayesian learning based componential forecasting method is introduced to predict 24-hour electric load levels for specific industrial areas in China. From this data, a pricing strategy is designed based on short-term load forecasting results. To minimize total energy costs while guaranteeing manufacturing center service quality, an adaptive demand side energy optimization algorithm is presented. The proposed scheme is tested in a machining center energy optimization experiment. An AMI sensing system is then used to measure the demand side energy consumption of the manufacturing center. Based on the data collected from the sensing system, the load prediction-based energy optimization scheme is implemented. By employing both the PSO and the CPSO method, the problem of DSM in the manufac^ring center is solved. The results of the experiment show the self-adaptive CPSO energy optimization method enhances optimization by 5% compared with the traditional PSO optimization method.

关键词： cyber physical systems manufacturing center self-adaptive demand side management particle swarm optimization

Reconstruction of measurements in state estimation strategy against deception attacks for cyber physical systems

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Control Theory and Technology 2018年第1期16卷 1-13页

作者： Qinxue LI Bugong XU Shanbin LI Yonggui LIU Delong CUI School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong 510640 China College of Computer and Electronic Information Guangdong University of Petrochemical Technology Maoming Guangdong 525000 China

Without the known state equation, a new state estimation strategy is designed to be against malicious attacks for cyber physical systems. Inspired by the idea of data reconstruction, the compressive sensing （CS） is applied to reconstruction of residual measurements after the detection and identification scheme based on the Markov graph of the system state, which increases the resilience of state estimation strategy against deception attacks. First, the observability analysis is introduced to decide the triggering time of the measurement reconstruction and the damage level from attacks. In particular, the dictionary learning is proposed to form the over-completed dictionary by K-singular value decomposition （K-SVD）, which is produced adaptively according to the characteristics of the measurement data. In addition, due to the irregularity of residual measurements, a sampling matrix is designed as the measurement matrix. Finally, the simulation experiments are performed on 6-bus power system. Results show that the reconstruction of measurements is completed well by the proposed reconstruction method, and the corresponding effects are better than reconstruction scheme based on the joint dictionary and the traditional Gauss or Bernoulli random matrix respectively. Especially, when only 29% available clean measurements are left, performance of the proposed strategy is still extraordinary, which reflects generality for five kinds of recovery algorithms.

关键词： State estimation deception attacks cyber physical systems reconstruction of measurements compressivesensing

physical layer authentication for automotive cyber physical systems based on modified HB protocol

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Frontiers of Computer Science 2021年第3期15卷 207-214页

作者： Ahmer Khan JADOON Jing LI Licheng WANG State key laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China School of Computer Science Guangzhou UniversityGuangzhou 510006China

Automotive cyber physical systems(CPSs)are ever more utilizing wireless technology for V2X communication as a potential way out for challenges regarding collision detection,wire strap up troubles and collision avoidance.However,security is constrained as a result of the energy and performance limitations of modem wireless systems.Accordingly,the need for efficient secret key generation and management mechanism for secured communication among computationally weak wireless devices has motivated the introduction of new authentication protocols.Recently,there has been a great interest in physical layer based secret key generation schemes by utilizing channel reciprocity.Consequently,it is observed that the sequence generated by two communicating parties contain mismatched bits which need to be reconciled by exchanging information over a public channel.This can be an immense security threat as it may let an adversary attain and recover segments of the key in known channel conditions.We proposed Hopper-Blum based physical layer(HB-PL)authentication scheme in which an enhanced physical layer key generation method integrates the Hopper-Blum(HB)authentication protocol.The information collected from the shared channel is used as secret keys for the HB protocol and the mismatched bits are used as the induced noise for learning parity with noise(LPN)problem.The proposed scheme aims to provide a way out for bit reconciliation process without leakage of information over a public channel.Moreover,HB protocol is computationally efficient and simple which helps to reduce the number of exchange messages during the authentication process.We have performed several experiments which show that our proposed design can generate secret keys with improved security strength and high performance in comparison to the current authentication techniques.Our scheme requires less than 55 exchange messages to achieve more than 95%of correct authentication.

关键词： cyber physical systems secret key generation learning parity with noise Hopper and Blum protocol

QoS Modeling for Dependable and Distributed cyber physical systems Using Aspect-Oriented Approach

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QoS Modeling for Dependable and Distributed Cyber Physical S...

Reconstruction of Measurements in State Estimation Strategy Against cyber Attacks for cyber physical systems

第十届电子商务、工程及科学领域的分布式计算和应用（DC...

In cyber-physical systems,the description,control,management,consultation and guarantee of QoS are very complex and challenging work,Quality of Service（QoS） is directly related to system’s performance.In this paper,we present an aspect-oriented model for specifying Quality of Service（QoS） based on the combination of UML and RTL.We believe that the two types of notation,graphical（semi-formal） and,respectively,formal,can efficiently complement each other and provide the basis for an aspect-oriented specification approach that can be both rigorous and practical for QoS modeling.Two examples depict how aspect-oriented methods can be used during QoS analysis and design process.

关键词： QoS cyber physical systems Aspect-Oriented

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Reconstruction of Measurements in State Estimation Strategy ...

Analysis of cyber physical systems Security Via Networked Attacks

第36届中国控制会议

作者： Qinxue Li Bugong Xu Shanbin Li Yonggui Liu Delong Cui School of Automation Science and Engineering South China University of Technology College of Computer and Electronic Information Guangdong University of Petrochemical Technology

ISBN: (纸本)9781538629185

To improve the resilience of state estimation strategy against cyber attacks,the Compressive Sensing（CS） is applied in reconstruction of incomplete measurements for cyber physical systems.First,observability analysis is used to decide the time to run the reconstruction and the damage level from attacks.In particular,the dictionary learning is proposed to form the over-completed dictionary by K-Singular Value Decomposition（K-SVD）.Besides,due to the irregularity of incomplete measurements,sampling matrix is designed as the measurement matrix.Finally,the simulation experiments on 6-bus power system illustrate that the proposed method achieves the incomplete measurements reconstruction perfectly,which is better than the joint dictionary.When only 29% available measurements are left,the proposed method has generality for four kinds of recovery algorithms.

关键词： State estimation cyber attacks cyber physical systems Reconstruction of measurements Compressive sensing

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Analysis of Cyber Physical Systems Security Via Networked At...

A Double Assessment of Privacy Risks Aboard Top‑Selling Cars

第36届中国控制会议

作者： Hui Ge Dong Yue Xiang-peng Xie Song Deng Yan Zhang School of Automation Engineering Nanjing University of Posts and Telecommunications Institute of Advance Technology Nanjing University of Posts and Telecommunications School of Electronic Science and Engineering Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781538629185

In this paper,cyber physical system is analyzed from security perspective.A double closed-loop security control structure and algorithm with defense functions is proposed.From this structure,the features of several cyber attacks are considered respectively.By this structure,the models of information disclosure,denial-of-service（DoS） and Man-in-the-Middle Attack（MITM） are proposed.According to each kind attack,different models are obtained and analyzed,then reduce to the unified models.Based on this,system security conditions are obtained,and a defense scenario with detail algorithm is design to illustrate the implementation of this program.

关键词： cyber physical systems Networked Control System Security Control Denial-of-service Stealth Attack

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Automotive Innovation 2023年第2期6卷 146-163页

作者： Giampaolo Bella Pietro Biondi Giuseppe Tudisco Dipartimento di Matematica e Informatica Universitàdegli Studi di CataniaCataniaItaly Osservatorio Astrofisico di Catania Istituto Nazionale di AstrofisicaCataniaItaly

The advanced and personalised experience that modern cars offer makes them more and more data-hungry.For example,the cabin preferences of the possible drivers must be recorded and associated to some identity,while such data could be exploited to deduce sensitive information about the driver’s health.Therefore,drivers’privacy must be taken seriously,requiring a dedicated risk assessment framework,as presented in this paper through a double assessment combining the asset-oriented ISO approach with the threat-oriented STRIDE approach.The framework is tailored to the level of specific car brand and demonstrated on the ten top-selling brands as well as,due to its innovative character,Tesla.The two approaches yield different,but complementary findings,demonstrating the additional insights gained through their parallel adoption.

关键词： Automotive cyber physical systems Risk management ISO 27005 STRIDE

Deep Learning with Image Classification Based Secure CPS for Healthcare Sector

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Computers, Materials & Continua 2022年第8期72卷 2633-2648页

作者： Ahmed S.Almasoud Abdelzahir Abdelmaboud Faisal S.Alsubaei Manar Ahmed Hamza Ishfaq Yaseen Mohammed Abaker Abdelwahed Motwakel Mohammed Rizwanullah Department of Information systems College of Computer and Information SciencesPrince Sultan UniversityRiyadh12435Saudi Arabia Department of Information systems College of Science and ArtsKing Khalid UniversityMahayil Asir62529Saudi Arabia Department of cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddah21959Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia Department of Computer Science Community CollegeKing Khalid UniversityMahayil Asir62529Saudi Arabia

cyber-physical System(CPS)involves the combination of physical processes with computation and communication systems.The recent advancementsmade in cloud computing,Wireless Sensor Network(WSN),healthcare sensors,etc.tend to develop CPS as a proficient model for healthcare applications especially,home patient care.Though several techniques have been proposed earlier related to CPS structures,only a handful of studies has focused on the design of CPS models for health care sector.So,the proposal for a dedicated CPS model for healthcare sector necessitates a significant interest to ensure data privacy.To overcome the challenges,the current research paper designs a Deep Learning-based Intrusion Detection and Image Classification for Secure CPS(DLIDIC-SCPS)model for healthcare sector.The aim of the proposed DLIDIC-SCPS model is to achieve secure image transmission and image classification process for CPS in healthcare sector.Primarily,data acquisition takes place with the help of sensors and detection of intrusions is performed using Fuzzy Deep Neural Network(FDNN)technique.Besides,Multiple Share Creation(MSC)approach is used to create several shares of medical image so as to accomplish security.Also,blockchain is employed as a distributed data storage entity to create a ledger that provides access to the client.For image classification,Inception v3 with Fuzzy Wavelet Neural Network(FWNN)is utilized that diagnose the disease from the applied medical image.Finally,Salp Swarm Algorithm(SSA)is utilized to fine tune the parameters involved in WNN model,thereby boosting its classification performance.A wide range of simulations was carried out to highlight the superiority of the proposed DLIDIC-SCPS technique.The simulation outcomes confirm that DLIDIC-SCPS approach demonstrates promising results in terms of security,privacy,and image classification outcomes over recent state-of-the-art techniques.

关键词： cyber physical systems healthcare cybersecurity deep learning share creation image classification