Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System
文献类型：期刊论文
| 作者 | Sangaiah, Arun Kumar2; Medhane, Darshan Vishwasrao6; Bian, Gui-Bin3,4 ; Ghoneim, Ahmed1,5; Alrashoud, Mubarak5; Hossain, M. Shamim5
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| 刊名 | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
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| 出版日期 | 2020-05-01 |
| 卷号 | 16期号:5页码:3322-3329 |
| ISSN号 | 1551-3203 |
| 关键词 | Cyber physical system (CPS) energy efficiency information confidentiality opacity position-based services position confidentiality |
| DOI | 10.1109/TII.2019.2953289 |
| 通讯作者 | Bian, Gui-Bin(guibin.bian@ia.ac.cn) |
| 英文摘要 | 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 |
| WOS研究方向 | Automation & Control Systems ; Computer Science ; Engineering |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000519588700041 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/38626]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | Bian, Gui-Bin |
| 作者单位 | 1.Menoufia Univ, Fac Sci, Dept Math & Comp Sci, Shibin Al Kawm 32511, Egypt 2.Vellore Inst Technol, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, 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.Indian Inst Informat Technol, Dept Comp Sci & Engn, Pune 411048, Maharashtra, India |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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