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Journal articles on the topic 'Time based access control'

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Author: Grafiati

Published: 17 August 2022

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1

Han, Chun Yan, Lian Zhong Liu, and Yi Fei Yuan. "Time Constraints of Access Control." Applied Mechanics and Materials 602-605 (August 2014): 3791–95. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3791.

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Currently, researches on time constraints for access control are not complete. To solve this problem, this paper enriches the time constraints for access control from the following aspects: firstly, we propose a four-tuple representation of time constraint by combining discrete time representation and periodic time representation; secondly, we put forward a function of computing the time of state changing on the basis of (1); finally, aiming at conflicts detecting and resolution for time constraints, we raise an algorithm for conflicts detection and resolution based on XACML and entities overlapping detection.

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2

Liu, Chaoqun, Zhen Peng, and Lili Wu. "Role of Time-Domain Based Access Control Model." Journal of Software Engineering and Applications 09, no. 02 (2016): 57–62. http://dx.doi.org/10.4236/jsea.2016.92004.

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3

Suchendra, Devie Ryana, Dewi Putri Suryani, and Muhammad Ikhsan Sani. "Home Lighting Control Based on Time Scheduling using Crontab." IJAIT (International Journal of Applied Information Technology) 2, no. 01 (May 25, 2018): 1. http://dx.doi.org/10.25124/ijait.v2i01.924.

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Access control system in smart home concept is a support system that affects especially on controlling the electronic devices. Along with advances in technology, the conventional access control system was developed into an electronic-based access control system. A conventional access control system such as manual electric switches is now beginning to be developed with an electric switch that can be controlled wirelessly from the web. Raspberry pi 2 model B is one of the minicomputers which can be used in an automatic access control system. By using GPIO (General Purpose Input Output) on Raspberry Pi, can be created by a wireless access control system, safe and effective. The purpose of this study is designing a prototype relay control system wirelessly model that can be accessed through the web, the result indicates the possibility of relay control to be remote. Crontab scheduling functions on the controller's relay are used, then the device can function based on a predetermined schedule, it is very helpful to turn on and off electrical devices home remotely. The form of a username and password authentication will be used to protect the system from being accessed by anyone. In the final phase of research, the system is evaluated at day and night using Crontab function. Meanwhile, the response time of the relay is within 1-2 seconds range.

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4

Ma, Haifeng, and Yangmin Li. "Multi-Power Reaching Law Based Discrete-Time Sliding-Mode Control." IEEE Access 7 (2019): 49822–29. http://dx.doi.org/10.1109/access.2019.2904103.

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5

Zhang, Lili, Qi Zhao, Li Wang, and Lingyu Zhang. "Urban Intersection Signal Control Based on Time-Space Resource Scheduling." IEEE Access 9 (2021): 49281–91. http://dx.doi.org/10.1109/access.2021.3059496.

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6

Danilescu, Marcel, and Victor Besliu. "TRUST- BASED MODELING MAC-TYPE ACCESS CONTROL THROUGH ACCESS AND ACTIONS CONTROL POLICIES." Journal of Engineering Science XXVIII, no. 2 (June 2021): 67–78. http://dx.doi.org/10.52326/jes.utm.2021.28(2).05.

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In recent decades, the number of researches on access control and user actions in computer systems has increased. Over time, there have been two models of implementing Mandatory Access Control (MAC) policies for government institutions and Discretionary Access Control (DAC) for the business environment, policies that various access control modeling solutions seek to implement. Among the access control modeling solutions developed are Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC), presented in the U.S.A. by the National Institute of Standard and Technology (NIST). In Romania, in 2010, the access control solution based on trust was presented. This paper presents Mandatory Access Control policy modeling using the trust-based access and actions control modeling solution.

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7

Luo, Yiping, and Junling Zhu. "Finite-Time Average Consensus Control of Multi-Agent Systems Based on the Aperiodically Intermittent Control." IEEE Access 10 (2022): 14959–68. http://dx.doi.org/10.1109/access.2022.3149278.

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8

Duan, Gui-Jiang, and Xin Yan. "A Real-Time Quality Control System Based on Manufacturing Process Data." IEEE Access 8 (2020): 208506–17. http://dx.doi.org/10.1109/access.2020.3038394.

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9

Guo, Jie, Zhanshan Zhao, Fengdong Shi, Ruikun Wang, and Shasha Li. "Observer-Based Synchronization Control for Coronary Artery Time-Delay Chaotic System." IEEE Access 7 (2019): 51222–35. http://dx.doi.org/10.1109/access.2019.2909749.

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10

Aznar-Poveda, Juan, Esteban Egea-Lopez, Antonio-Javier Garcia-Sanchez, and Pablo Pavon-Marino. "Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications." IEEE Access 7 (2019): 154192–208. http://dx.doi.org/10.1109/access.2019.2949131.

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11

Fu, Mingyu, Mingyang Li, and Wenbo Xie. "Finite-Time Trajectory Tracking Fault-Tolerant Control for Surface Vessel Based on Time-Varying Sliding Mode." IEEE Access 6 (2018): 2425–33. http://dx.doi.org/10.1109/access.2017.2783319.

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12

Al-Shaikhi, Ali. "Improved-Precision Time Synchronization Protocol for WSNs Based on Averaging Consensus Control." IEEE Access 6 (2018): 62261–71. http://dx.doi.org/10.1109/access.2018.2874971.

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13

Aziz, Saddam, Huaizhi Wang, Yitao Liu, Jianchun Peng, and Hui Jiang. "Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation." IEEE Access 7 (2019): 25535–46. http://dx.doi.org/10.1109/access.2019.2900047.

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14

Shao, Shu-Yi, Mou Chen, and Qing-Xian Wu. "Stabilization Control of Continuous-Time Fractional Positive Systems Based on Disturbance Observer." IEEE Access 4 (2016): 3054–64. http://dx.doi.org/10.1109/access.2016.2555937.

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15

Kobayashi, Kentaro, Hiraku Okada, and Masaaki Katayama. "Guaranteed Time Slot Allocation for IEEE 802.15.4-Based Wireless Feedback Control Systems." IEEE Access 7 (2019): 161211–19. http://dx.doi.org/10.1109/access.2019.2951597.

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16

Zhang, Xiaohua, Xiang Zhang, Zhengliang Lu, and Wenhe Liao. "Optimal Path Planning-Based Finite-Time Control for Agile CubeSat Attitude Maneuver." IEEE Access 7 (2019): 102186–98. http://dx.doi.org/10.1109/access.2019.2927401.

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17

Hao, Yong, Yushan He, Yaen Xie, Cong Sun, and Kun Zhao. "Neural-Network Based Finite-Time Coordinated Formation Control for Spacecraft Without Unwinding." IEEE Access 8 (2020): 127507–18. http://dx.doi.org/10.1109/access.2020.3007530.

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18

Zhang, Pengfei, Tingting Yang, and Dong Li. "Formation Control of Multiple Underactuated Surface Vehicles Based on Prescribed-Time Method." IEEE Access 8 (2020): 151371–82. http://dx.doi.org/10.1109/access.2020.3016980.

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19

Yu, Jingxian, and Qiyuan Zhang. "Limited Rolling Time Domain-Based Hybrid Tracking Control for Injection Molding Process." IEEE Access 7 (2019): 67446–55. http://dx.doi.org/10.1109/access.2019.2918020.

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20

Zhang, Niaona, Zongzhi Han, Zhe Zhang, Konghui Guo, and Xiaohui Lu. "MAS-Based Slip Ratio Fault-Tolerant Control in Finite Time for EV." IEEE Access 9 (2021): 45642–54. http://dx.doi.org/10.1109/access.2021.3066003.

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21

Wang, Xiaoyi, Yuqin Zhou, Zhiyao Zhao, Wei Wei, and Wei Li. "Time-Delay System Control Based on an Integration of Active Disturbance Rejection and Modified Twice Optimal Control." IEEE Access 7 (2019): 130734–44. http://dx.doi.org/10.1109/access.2019.2939905.

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22

Song, Yaobin, Hui Li, and Xiaoling Shi. "Hölder Condition Based Design of Finite-Time Control Scheme for Underactuated Robotic System Under Time-Varying Disturbance." IEEE Access 8 (2020): 142259–68. http://dx.doi.org/10.1109/access.2020.3012774.

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23

Ebrahim, M. A., Reham Mohamed Abdel Fattah, Ebtisam Mostafa Mohamed Saied, Samir Mohamed Abdel Maksoud, and Hisham El Khashab. "Real-Time Implementation of Self-Adaptive Salp Swarm Optimization-Based Microgrid Droop Control." IEEE Access 8 (2020): 185738–51. http://dx.doi.org/10.1109/access.2020.3030160.

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24

Rayguru, Madan Mohan, Mohan Rajesh Elara, Braulio Felix Gomez, and Balakrishnan Ramalingam. "A Time Delay Estimation Based Adaptive Sliding Mode Strategy for Hybrid Impedance Control." IEEE Access 8 (2020): 155352–61. http://dx.doi.org/10.1109/access.2020.3019429.

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25

Liu, Xiaohua, Xiaojing Wang, and Rong Gao. "Receding Horizon Control-Based Stabilization of Discrete-Time Stochastic Systems With State Delay." IEEE Access 7 (2019): 136232–38. http://dx.doi.org/10.1109/access.2019.2942055.

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26

Zong, Chengguo, Zhijian Ji, Lei Tian, and Yuan Zhang. "Distributed Multi-Robot Formation Control Based on Bipartite Consensus With Time-Varying Delays." IEEE Access 7 (2019): 144790–98. http://dx.doi.org/10.1109/access.2019.2942642.

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27

Boonyaprapasorn, Arsit, Thanacha Choopojcharoen, Parinya Sa Ngiamsunthorn, Suwat Kuntanapreeda, Eakkachai Pengwang, Suriya Natsupakpong, Wishsanuruk Wechsatol, and Thavida Maneewarn. "Fixed-Time Synergetic Approach for Biological Pest Control Based on Lotka-Volterra Model." IEEE Access 9 (2021): 47303–19. http://dx.doi.org/10.1109/access.2021.3066550.

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28

Sariyildiz, Emre, Satoshi Hangai, Tarik Uzunovic, and Takahiro Nozaki. "Discrete-Time Analysis and Synthesis of Disturbance Observer-Based Robust Force Control Systems." IEEE Access 9 (2021): 148911–24. http://dx.doi.org/10.1109/access.2021.3123365.

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29

Chang, Yu, Lin Li, Yongheng Wang, and Kun You. "Toward Fast Convergence and Calibration-Free Visual Servoing Control: A New Image Based Uncalibrated Finite Time Control Scheme." IEEE Access 8 (2020): 88333–47. http://dx.doi.org/10.1109/access.2020.2993280.

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30

Wu, Shaobo, Xiuqin Su, and Kaidi Wang. "Time-Dependent Global Nonsingular Fixed-Time Terminal Sliding Mode Control-Based Speed Tracking of Permanent Magnet Synchronous Motor." IEEE Access 8 (2020): 186408–20. http://dx.doi.org/10.1109/access.2020.3030279.

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31

Liu, Kan, and Zhao Ai. "Android-Based Smart Access Control System for Open Laboratory." Applied Mechanics and Materials 727-728 (January 2015): 940–43. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.940.

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In order to protectproperty of laboratory, restricted access to laboratory, this paper focuses onthe development of smart access control system for open laboratory by using theAndroid system and embedded technology. This system uses three key parameters ofthe Android phone's Wi-Fi signal strength, GPS positioning information andidentification number to achieve access control certification, personnelorientation and personnel information collection. Then the laboratory personneldata would be updated and storage in database in real-time via PC LabVIEWapplication. The access control system is stable and have well real-time. Thissystem will be able to meet the university laboratory management requirementsand greatly improving the management level of the laboratory.

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32

Chang, Ling, Yang Liu, Yuanwei Jing, Xiangyong Chen, and Jianlong Qiu. "Semi-Globally Practical Finite-Time ${H}_{\infty}$ Control of TCSC Model of Power Systems Based on Dynamic Surface Control." IEEE Access 8 (2020): 10061–69. http://dx.doi.org/10.1109/access.2020.2964265.

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33

Chen, Chen, and Hesuan Hu. "Time-Varying Automated Manufacturing Systems and Their Invariant-Based Control: A Petri Net Approach." IEEE Access 7 (2019): 23149–62. http://dx.doi.org/10.1109/access.2019.2899190.

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34

Cui, Jian, Lin Zhao, Jinpeng Yu, Chong Lin, and Yumei Ma. "Neural Network-Based Adaptive Finite-Time Consensus Tracking Control for Multiple Autonomous Underwater Vehicles." IEEE Access 7 (2019): 33064–74. http://dx.doi.org/10.1109/access.2019.2903833.

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35

Li, Xuemin, Yufei Liu, Jian Zhang, and Runzhi Wang. "Disturbance Observer-Based Finite-Time Speed Control for Marine Diesel Engine With Input Constraints." IEEE Access 8 (2020): 50859–71. http://dx.doi.org/10.1109/access.2020.2980371.

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36

Cao, Qian, and Weicheng Xie. "Optimal Frequency Control for Inverter-Based Micro-Grids Using Distributed Finite-Time Consensus Algorithms." IEEE Access 8 (2020): 185243–52. http://dx.doi.org/10.1109/access.2020.3030026.

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37

Li, Sijia, and Qiang Wu. "Finite-Time Control Algorithm Based on Modal State Observer for Flexible Satellite Attitude Tracking." IEEE Access 8 (2020): 184722–30. http://dx.doi.org/10.1109/access.2020.3027901.

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38

Xu, Wan, Jie Hou, Jie Li, Cong Yuan, and Alessandro Simeone. "Multi-Axis Motion Control Based on Time-Varying Norm Optimal Cross-Coupled Iterative Learning." IEEE Access 8 (2020): 124802–11. http://dx.doi.org/10.1109/access.2020.3007422.

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39

Park, Huiung, Haeyong Kim, Seon-Tae Kim, and Pyeongsoo Mah. "Multi-Agent Reinforcement-Learning-Based Time-Slotted Channel Hopping Medium Access Control Scheduling Scheme." IEEE Access 8 (2020): 139727–36. http://dx.doi.org/10.1109/access.2020.3010575.

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40

Lyu, Dian, Guoxiong Shi, Run Min, Qiaoling Tong, Qiao Zhang, Linkai Li, and Gaoshuai Shen. "Extended Off-Time Control for CRM Boost Converter Based on Piecewise Equivalent Capacitance Model." IEEE Access 8 (2020): 155891–901. http://dx.doi.org/10.1109/access.2020.3019089.

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41

Zhu, Jialin, Binqiang Xue, and Haisheng Yu. "Distributed Model Predictive Control for Linear Constrained Systems Based on Time-Varying Terminal Sets." IEEE Access 9 (2021): 119675–83. http://dx.doi.org/10.1109/access.2021.3108495.

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42

Xu, Shaoyue, and Bo Wang. "Noisy Information Based Formation Control of Multi-Agent Systems in Time-Varying Communication Networks." IEEE Access 9 (2021): 70313–21. http://dx.doi.org/10.1109/access.2021.3078173.

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43

Akbari, Negar, Saleh Mobayen, Farhad Bayat, and Afef Fekih. "Finite-Time Control of Myringotomy Surgical Device Based on Nonsingular Terminal Sliding Disturbance Observer." IEEE Access 9 (2021): 72412–19. http://dx.doi.org/10.1109/access.2021.3078766.

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44

Xu, Wei, Abdul Khalique Junejo, Yirong Tang, Muhammad Shahab, Habib Ur Rahman Habib, Yi Liu, and Shoudao Huang. "Composite Speed Control of PMSM Drive System Based on Finite Time Sliding Mode Observer." IEEE Access 9 (2021): 151803–13. http://dx.doi.org/10.1109/access.2021.3125316.

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45

Liu, Zhaobin, Qiang Ma, Wenzhi Liu, Victor Sheng, Liang Zhang, and Gang Liu. "Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks." Sensors 18, no. 7 (June 30, 2018): 2107. http://dx.doi.org/10.3390/s18072107.

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46

Gryuntal, A. I., and S. G. Dyshlenko. "Access Control in Automated Systems Based on 'Baguette' Real-Time Operating Systems." PROGRAMMNAYA INGENERIA 10, no. 3 (March 21, 2019): 99–104. http://dx.doi.org/10.17587/prin.10.99-104.

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47

Xin, Tai, and Indrakshi Ray. "A lattice-based approach for updating access control policies in real-time." Information Systems 32, no. 5 (July 2007): 755–72. http://dx.doi.org/10.1016/j.is.2006.06.002.

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48

Namasudra, Suyel, Pinki Roy, Pandi Vijayakumar, Sivaraman Audithan, and Balamurugan Balusamy. "Time efficient secure DNA based access control model for cloud computing environment." Future Generation Computer Systems 73 (August 2017): 90–105. http://dx.doi.org/10.1016/j.future.2017.01.017.

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49

Zhu, Liehuang, Nassoro M. R. Lwamo, Kashif Sharif, Chang Xu, Xiaojiang Du, Mohsen Guizani, and Fan Li. "T-CAM: Time-based content access control mechanism for ICN subscription systems." Future Generation Computer Systems 106 (May 2020): 607–21. http://dx.doi.org/10.1016/j.future.2020.01.039.

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50

Xian Zhang, Xian Zhang, Pengju Tang Xian Zhang, Dong Yin Pengju Tang, Taiguo Qu Dong Yin, and Yiwen Liu Taiguo Qu. "The Network Model of Internet Access Intranet Based on Embedded Platform." 網際網路技術學刊 23, no. 2 (March 2022): 201–8. http://dx.doi.org/10.53106/160792642022032302001.

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<p>To better manage and control the embedded devices located in the remote Intranet, the functional requirements of the Internet accessing the Intranet need to be effectively solved. This paper studies and implements a network model of external network accessing intranet network and realizes the network model’s function by programming. At the same time, an experimental platform is built to test the performance metrics of the network model, such as the maximum load and CPU utilization, device connection success rate, user access response time, and other performance parameters. The test results show that the network model can meet the network scale of at least 3000 intranet devices and has high practical value and application prospects.</p> <p> </p>

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