Cyber-Physical Systems最新文献_第8页

Novel Authentication and Secure Trust based RPL Routing in Mobile sink supported Internet of Things 移动接收器支持的物联网中基于新型认证和安全信任的RPL路由

Cyber-Physical Systems Pub Date : 2021-06-18 DOI: 10.1080/23335777.2021.1933194

B. Rakesh, Parveen Sultana H

{"title":"Novel Authentication and Secure Trust based RPL Routing in Mobile sink supported Internet of Things","authors":"B. Rakesh, Parveen Sultana H","doi":"10.1080/23335777.2021.1933194","DOIUrl":"https://doi.org/10.1080/23335777.2021.1933194","url":null,"abstract":"ABSTRACT In the modern era, prevalence of the Internet of Things (IoT) devices that have de facto protocol as IPv6 routing protocol for low power and lossy networks (RPL). Yet, RPL protocol is vulnerable to many attacks such as rank attack, password spoofing and more. To this end, most of the works have focused their research on securing the RPL-based IoT network. However, still there exist downsides such as high energy consumption, lack of effective authentication and high packet losses. Motivated by these preceding defects, this paper proposes the Novel Authentication and Secure Trust-based RPL Routing in Mobile sink-supported Internet of Things (SecRPL-MS). At first, SecRPL-MS performs a registration process where all IoT nodes in the network register themselves in the security entity. In this work, the frequent death of IoT nodes is alleviated through deploying mobile sink in the network. If any grid member (GM) node wants to transmit their data to the grid head (GH) node, then it must undergo authentication process. Secure routing is adopted in RPL by utilising the sail fish optimisation algorithm. Each GM node encrypts its sensed data using the prince algorithm before transmitting it to the GH node. The moving points are selected for the mobile sink using the Quantum Inspired Neural Network (QINN) algorithm. This proposed SecRPL-MS performance is evaluated using the Network Simulator 3 (NS3) in terms of the Packet Delivery Ratio (%), Delay (ms), Energy Consumption (mJ), Key Generation Time (ms) and Malicious Node Detection Accuracy (%). The proposed SecRPL-Ms outperforms 23% of malicious node detection accuracy when compared to existing systems, which represent the proposed SecRPL-MS system providing high security by mitigating the following attacks such as rank attack, Sybil attack, blackhole attack and man in the middle attack.","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"116 1","pages":"43 - 76"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81152915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

RNN-LSTM Based Deep Learning Model for Tor Traffic Classification 基于RNN-LSTM的Tor流量分类深度学习模型

Cyber-Physical Systems Pub Date : 2021-05-24 DOI: 10.1080/23335777.2021.1924284

V. A, Hiran Kumar Singh, SivaChaitanyaPrasad. M, JaiSivaSai. G

引用次数: 2

Computational intelligence paradigm for job shop scheduling and routing in an uncertain environment 不确定环境下作业车间调度与路由的计算智能范式

Cyber-Physical Systems Pub Date : 2021-05-12 DOI: 10.1080/23335777.2021.1879275

Suresh Chavhan, Joel J. P. C. Rodrigues, Ashish Khanna

{"title":"Computational intelligence paradigm for job shop scheduling and routing in an uncertain environment","authors":"Suresh Chavhan, Joel J. P. C. Rodrigues, Ashish Khanna","doi":"10.1080/23335777.2021.1879275","DOIUrl":"https://doi.org/10.1080/23335777.2021.1879275","url":null,"abstract":"ABSTRACT Computational Intelligence (CI) is a more efficient paradigm for solving real-world problems in uncertain conditions. The traditional CI approaches are not capable to provide the complete and sufficient solutions for problems. Therefore, new techniques are necessary to efficiently solve these issues seriously. New techniques, such as Emergent Intelligence (EI), Multi-Agent System (MAS), etc., provide robust, generic, flexible, and self-organised to solve complex real-world problems. In this paper, we discuss Emergent Intelligence (EI) and its uniqueness in solving problems in an uncertain environment. We also discuss EI, Swarm Intelligence (SI) and MultiAgent System (MAS)-based problem-solving in an uncertain environment and compared their performance. We have considered two different problems: job shop scheduling using EI and MAS and route establishment for routing using MAS, SI and EI in an uncertain environment. Each problem is categorically analysed and solved step by step using MAS, SI and EI in a dynamic environment. We measure the performance of these three methods by varying the number of agents, tasks and time. Performance measures are compared and shown to demonstrate the importance of EI over MAS and SI for solving problems in an uncertain environment.","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"16 1","pages":"45 - 66"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85042439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of Chua’s chaotic circuit parameters using penguins search optimisation algorithm 用企鹅搜索优化算法辨识蔡氏混沌电路参数

Cyber-Physical Systems Pub Date : 2021-05-11 DOI: 10.1080/23335777.2021.1921038

F. Maamri, S. Bououden, I. Boulkaibet

引用次数: 1

Integral terminal sliding-mode integral backstepping adaptive control for trajectory tracking of unmanned surface vehicle 无人水面飞行器轨迹跟踪的积分末端滑模积分反演自适应控制

Cyber-Physical Systems Pub Date : 2021-05-11 DOI: 10.1080/23335777.2021.1924285

Jiayu Dong, Meijiao Zhao, Min Cheng, Yue-ying Wang

引用次数: 3

A hierarchical perception decision-making framework for autonomous driving 基于层次感知的自动驾驶决策框架

Cyber-Physical Systems Pub Date : 2021-05-11 DOI: 10.1080/23335777.2021.1901147

E. Zhang, Jin Huang, Yue Gao, Yau Liu, Yangdong Deng

{"title":"A hierarchical perception decision-making framework for autonomous driving","authors":"E. Zhang, Jin Huang, Yue Gao, Yau Liu, Yangdong Deng","doi":"10.1080/23335777.2021.1901147","DOIUrl":"https://doi.org/10.1080/23335777.2021.1901147","url":null,"abstract":"ABSTRACT Self-driving vehicles have attracted significant attention from both industry and academy. Despite the intensive research efforts on the perception model of environment-awareness, it is still challenging to attain accurate decision-making under real-world driving scenarios. Today’s state-of-the-art solutions typically hinge on end-to-end DNN-based perception-control models, which provide a rather direct way of driving decision-making. However, DNN models may fail in dealing with complex driving scenarios that require relational reasoning. This paper proposes a hierarchical perception decision-making framework for autonomous driving by employing hypergraph-based reasoning, which enables fuse multi-perceptual models to integrate multimodal environmental information. The proposed framework utilises the high-order correlations behind driving behaviours, and thus allows better relational reasoning and generalisation to achieve more precise driving decisions. Our work outperforms state-of-the-art results on Udacity, Berkeley DeepDrive Video and DBNet data sets. The proposed techniques can be used to construct a unified driving decision-making framework for modular integration of autonomous driving systems.","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"14 1","pages":"192 - 209"},"PeriodicalIF":0.0,"publicationDate":"2021-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85108131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Secure Filter for Discrete-Time Delayed Systems Subject to Cyber Attacks 网络攻击下离散时滞系统的安全滤波器

Cyber-Physical Systems Pub Date : 2021-04-24 DOI: 10.1080/23335777.2021.1916230

Mutaz M. Hamdan, M. Mahmoud

引用次数: 1

Q-Learning Based Optimisation Framework for Real-Time Mixed-Task Scheduling 基于q学习的实时混合任务调度优化框架

Cyber-Physical Systems Pub Date : 2021-04-04 DOI: 10.1080/23335777.2021.1900922

Tianchuang Meng, Jin Huang, Huiqian Li, Zengkun Li, Yu Jiang, Zhihua Zhong

{"title":"Q-Learning Based Optimisation Framework for Real-Time Mixed-Task Scheduling","authors":"Tianchuang Meng, Jin Huang, Huiqian Li, Zengkun Li, Yu Jiang, Zhihua Zhong","doi":"10.1080/23335777.2021.1900922","DOIUrl":"https://doi.org/10.1080/23335777.2021.1900922","url":null,"abstract":"ABSTRACT Mixed periodic and aperiodic tasks with explicit deterministic or probabilistic timing requirements are becoming increasingly deployed in real-time industry control systems. Such systems pose significant challenges to the scheduling algorithms because the failure of scheduling can be catastrophic. In the past decades, significant research effort has been dedicated on the scheduling problems, and various scheduling algorithms were proposed to meet various system requirements and task loads. However, a single fixed scheduling algorithm usually cannot fully satisfy the requirements for a dynamic mixed-task-set, which is commonly found in modern complex real-time control systems. It is thus extremely hard for engineers to design a set of scheduling solutions to guarantee the correctness and optimality under all conditions. Aiming at optimising the scheduling performance in a real-time control system, this paper proposes a Q-learning-based optimisation framework to select proper scheduling algorithms for the mixed-task-set. Built on a three-layer perceptron network, our Q-learning framework is able to efficiently and effectively choose scheduling algorithms that dynamically adapt to the characteristics of task-sets. Experimental results using real-world data proved the effectiveness of the proposed framework.","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"2 1","pages":"173 - 191"},"PeriodicalIF":0.0,"publicationDate":"2021-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84522637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optimisation model of micro grid dispatching for smart building cluster based on blockchain 基于区块链的智能楼宇集群微网调度优化模型

Cyber-Physical Systems Pub Date : 2021-04-04 DOI: 10.1080/23335777.2021.1887365

Sheng Zhao, Zhengtian Wu

引用次数: 1

A rail detection algorithm for accurate recognition of train fuzzy video 一种用于列车模糊视频准确识别的轨道检测算法

Cyber-Physical Systems Pub Date : 2021-03-07 DOI: 10.1080/23335777.2021.1879277

Bin Wang, Zhen Wang, Dou Zhao, Xuhai Wang

{"title":"A rail detection algorithm for accurate recognition of train fuzzy video","authors":"Bin Wang, Zhen Wang, Dou Zhao, Xuhai Wang","doi":"10.1080/23335777.2021.1879277","DOIUrl":"https://doi.org/10.1080/23335777.2021.1879277","url":null,"abstract":"ABSTRACT The research follows the mainstream physics and network system architecture. Aiming at the problem of poor data processing ability and poor robustness of traditional trajectory detection algorithms, a trajectory detection method that can be accurately extracted from the fuzzy video of a locomotive is proposed. Firstly, in order to ensure the accuracy of rail detection of trains in complex environments and improve the safety of driverless driving, the video image captured by on-board camera is stored as RGB video frame set, and then processed as single-channel greyscale image carrier set; Secondly, after the initial colour and brightness treatment, the redundant and useless noise features in the greyscale image carrier set still exist. After secondary Gaussian filtering and de-noising, canny operator is used to detect the track edge details of interest; Finally, the rail area is taken as the interested target for Hough line detection, the background subtraction method of adaptive mixed Gaussian background modelling is introduced, the structure element function and the morphologyEx theory of morphological transformation function are introduced, and the left and right tracks are fitted after the calculation and judgement of pixel coordinates. Algorithm for visual tracking experiments show that, rail detection algorithm has already meet need to detect rails in low-quality videos recorded by the on-board cameras of different models of trains at different speed. It not only can process large quantity of data from the on-board camera videos in real time, but also can accurately detect the target rails adaptively where rail conditions are complex with obstructive objects, which shows that this algorithm has very robust performance.","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"191 1","pages":"67 - 84"},"PeriodicalIF":0.0,"publicationDate":"2021-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75828781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1