Swarm Intelligence-Based Task Scheduling for Enhancing Security for IoT Devices
文献类型：期刊论文
| 作者 | Zhou, Junlong1,3; Shen, Yufan3; Li, Liying3; Zhuo, Cheng4; Chen, Mingsong2 |
| 刊名 | IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
 |
| 出版日期 | 2023-06-01 |
| 卷号 | 42期号:6页码:1756-1769 |
| ISSN号 | 0278-0070 |
| 关键词 | Security Internet of Things Task analysis Logic gates Servers Particle swarm optimization Optimization Energy efficiency fund Index Terms Internet of Things (IoT) mixed-integer linear programming (MILP) security swarm intelligence task scheduling |
| DOI | 10.1109/TCAD.2022.3207328 |
| 英文摘要 | Due to the great advancement in computation, communication, and control technologies, the Internet of Things (IoT) can provide ubiquitous connectivity for anyone and anything at any time and any place, leading to a revolution in an information society. Protecting devices against various security threats is one of the most important challenges in IoT since IoT applications are generally security-critical systems while IoT devices are often poorly secured. For IoT devices, employing security services provided by smart gateways or edge/cloud servers to defend against various threats is an effective way to enhance their security. However, the finite battery energy of devices and the limited fund of device users hinder the wide application of security services in IoT. This necessitates the demand for designing new methodologies to tackle the tradeoff among security, energy, and fund of IoT devices. Therefore, this article attempts to optimize system security of IoT devices under energy and fund constraints. Specifically, to formulate the energy and fund constrained security optimization problem, we first propose a pricing model for the security services provided by the smart gateway. We then formulate the problem as a mixed-integer linear programming (MILP) problem. Since using a solver to address the MILP problem may be time consuming, we leverage the swarm intelligence technique to design a new task scheduling scheme that can efficiently solve the optimization problem. Extensive experiments are conducted to validate our proposed MILP and swarm intelligence-based task scheduling algorithms. Simulation results show that our scheme outperforms two state-of-the-art methods in improving system quality of security and guaranteeing schedule feasibility. |
| 资助项目 | National Key Research and Development Program of China[2018YFE0126300] ; National Natural Science Foundation of China[62172224] ; National Natural Science Foundation of China[61802185] ; National Natural Science Foundation of China[61872147] ; Natural Science Foundation of Jiangsu Province[BK20220138] ; China Postdoctoral Science Foundation[2021T140327] ; China Postdoctoral Science Foundation[2020M680068] ; Fundamental Research Funds for the Central Universities[30922010318] ; Fundamental Research Funds for the Central Universities[30922010406] ; Postdoctoral Science Foundation of Jiangsu Province[2021K066A] ; Open Research Fund of the State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences[CARCHA202105] ; Future Network Scientific Research Fund Project[FNSRFP-2021-YB-6] |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:001008200900003 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/21271]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Zhou, Junlong |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 2.East China Normal Univ, Minist Educ Engn Res Ctr Software Hardware Co Desi, Shanghai 200062, Peoples R China 3.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Peoples R China 4.Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Junlong,Shen, Yufan,Li, Liying,et al. Swarm Intelligence-Based Task Scheduling for Enhancing Security for IoT Devices[J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,2023,42(6):1756-1769. |
| APA | Zhou, Junlong,Shen, Yufan,Li, Liying,Zhuo, Cheng,&Chen, Mingsong.(2023).Swarm Intelligence-Based Task Scheduling for Enhancing Security for IoT Devices.IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,42(6),1756-1769. |
| MLA | Zhou, Junlong,et al."Swarm Intelligence-Based Task Scheduling for Enhancing Security for IoT Devices".IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 42.6(2023):1756-1769. |
入库方式： OAI收割
来源：计算技术研究所
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