Swarm Intelligence-Based Task Scheduling for Enhancing Security for IoT Devices

doi:10.1109/TCAD.2022.3207328

	Swarm Intelligence-Based Task Scheduling for Enhancing Security for IoT Devices
	Zhou, Junlong 1,2; Shen, Yufan 1; Li, Liying 1; Zhuo, Cheng 3; Chen, Mingsong 4
	2023-06-01
发表期刊	IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
ISSN	0278-0070
卷号	42 期号:6 页码:1756-1769
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.
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
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic
WOS记录号	WOS:001008200900003
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：18[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21272
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.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 3.Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China 4.East China Normal Univ, Minist Educ Engn Res Ctr Software Hardware Co Desi, Shanghai 200062, 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.