Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System

doi:10.1109/TII.2019.2953289

	Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System
	Sangaiah, Arun Kumar 1; Medhane, Darshan Vishwasrao 2; Bian, Gui-Bin3,4 ; Ghoneim, Ahmed 5,6; Alrashoud, Mubarak 5; Hossain, M. Shamim 5
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN	1551-3203
	2020-05-01
卷号	16 期号:5 页码:3322-3329
通讯作者	Bian, Gui-Bin(guibin.bian@ia.ac.cn)
摘要	Adversary models have been fundamental to the various cryptographic protocols and methods. However, their use in most of the branches of research in computer science is comparatively restricted, primarily in case of the research in cyberphysical security (e.g., vulnerability studies, position confidentiality). In this article, we propose an energy-aware green adversary model for its use in smart industrial environment through achieving confidentiality. Even though, mutually the hardware and the software parts of cyberphysical systems can be improved to decrease its energy consumption, this article focuses on aspects of conserving position and information confidentiality. On the basis of our findings (assumptions, adversary goals, and capabilities) from the literature, we give some testimonials to help practitioners and researchers working in cyberphysical security. The proposed model that runs on real-time anticipatory position-based query scheduling in order to minimize the communication and computation cost for each query, thus, facilitating energy consumption minimization. Moreover, we calculate the transferring/acceptance slots required for each query to avoid deteriorating slots. The experimental results confirm that the proposed approach can diminish energy consumption up to five times in comparison to existing approaches
关键词	Cyber physical system (CPS) energy efficiency information confidentiality opacity position-based services position confidentiality
DOI	10.1109/TII.2019.2953289
收录类别	SCI
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS类目	Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号	WOS:000519588700041
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	多模态智能
引用统计	被引频次：86[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/38627
专题	复杂系统认知与决策实验室_先进机器人
通讯作者	Bian, Gui-Bin
作者单位	1.Vellore Inst Technol, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India 2.Indian Inst Informat Technol, Dept Comp Sci & Engn, Pune 411048, Maharashtra, India 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China 5.King Saud Univ, Coll Comp & Informat Sci, Dept Software Engn, Riyadh 11543, Saudi Arabia 6.Menoufia Univ, Fac Sci, Dept Math & Comp Sci, Shibin Al Kawm 32511, Egypt
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Sangaiah, Arun Kumar,Medhane, Darshan Vishwasrao,Bian, Gui-Bin,et al. Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2020,16(5):3322-3329.
APA	Sangaiah, Arun Kumar,Medhane, Darshan Vishwasrao,Bian, Gui-Bin,Ghoneim, Ahmed,Alrashoud, Mubarak,&Hossain, M. Shamim.(2020).Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,16(5),3322-3329.
MLA	Sangaiah, Arun Kumar,et al."Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 16.5(2020):3322-3329.