首页|Security and Privacy in Solar Insecticidal Lamps Internet of Things:Requirements and Challenges

Security and Privacy in Solar Insecticidal Lamps Internet of Things:Requirements and Challenges

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Solar insecticidal lamps(SIL)can effectively control pests and reduce the use of pesticides.Combining SIL and Inter-net of Things(IoT)has formed a new type of agricultural IoT,known as SIL-IoT,which can improve the effectiveness of migra-tory phototropic pest control.However,since the SIL is con-nected to the Internet,it is vulnerable to various security issues.These issues can lead to serious consequences,such as tampering with the parameters of SIL,illegally starting and stopping SIL,etc.In this paper,we describe the overall security requirements of SIL-IoT and present an extensive survey of security and privacy solutions for SIL-IoT.We investigate the background and logical architecture of SIL-IoT,discuss SIL-IoT security scenarios,and analyze potential attacks.Starting from the security require-ments of SIL-IoT we divide them into six categories,namely pri-vacy,authentication,confidentiality,access control,availability,and integrity.Next,we describe the SIL-IoT privacy and security solutions,as well as the blockchain-based solutions.Based on the current survey,we finally discuss the challenges and future research directions of SIL-IoT.

ChallengesInternet of Things(IoT)privacy and securitysecurity requirementssolar insecticidal lamps(SIL)

Qingsong Zhao、Lei Shu、Kailiang Li、Mohamed Amine Ferrag、Ximeng Liu、Yanbin Li

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College of Artificial Intelligence,Nanjing Agricultural University,Nanjing 210031,the State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,and the State Key Laboratory of Cryptology,Beijing 100878,China

College of Artificial Intelligence,Nanjing Agricultural University,Nanjing 210031,China,and also with the School of Engineering,University of Lincoln,Lincoln LN67TS,UK

College of Artificial Intelligence,Nanjing Agricultural University,Nanjing 210031,China

Artificial Intelligence and Digital Science Research Center,Technology Innovation Institute,Masdar City 9639,UAE

College of Computer and Data Science,Fuzhou University,Fuzhou 350108,China

College of Artificial Intelligence,Nanjing Agricultural University,Nanjing 210031,and also with the State Key Laboratory of Cryptology,Beijing 100878,China

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国家自然科学基金国家自然科学基金Jiangsu Agriculture Science and Technology Innovation Fund

6207224862072247CX213060

2024

10.1109/JAS.2023.123870

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN：2329-9266
年,卷(期)：2024.11(1)
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