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China Communications 2022年第7期19卷 197-213页

作者： Yu Luo Kai Fan Xingmiao Wang Hui Li Yintang Yang State Key Laboratory of Integrated Service Networks School of Cyber EngineeringXidian UniversityXi’an 710071China Key Lab.of the Minist.of Educ.for Wide Band-Gap Semiconductor Materials and devices Xidian UniversityXi’an 710071China

Cloud computing provides powerful processing capabilities for large-scale intelligent Internet of things(iot)***,the massive realtime data processing requirements challenge the existing cloud computing *** edge server is closer to the data *** end-edge-cloud collaboration offloads the cloud computing tasks to the edge environment,which solves the shortcomings of the cloud in resource storage,computing performance,and energy *** terminals and sensors have caused security and privacy challenges due to resource constraints and exponential *** the key technology of iot,Radio-Frequency Identification(RFID)authentication protocol tremendously strengthens privacy protection and improves iot ***,it inevitably increases system overhead while improving security,which is a major blow to low-cost RFID *** existing RFID authentication protocols are difficult to balance overhead and *** paper designs an ultra-lightweight encryption function and proposes an RFID authentication scheme based on this function for the end-edge-cloud collaborative *** BAN logic proof and protocol verification tools AVISPA formally verify the protocol’s *** use VIVADO to implement the encryption function and tag’s overhead on the FPGA *** evaluation indicates that the proposed protocol balances low computing costs and high-security requirements.

关键词： end-edge-cloud orchestration mutual authentication ultra-lightweight RFID random rearrangement block matrix iot

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Investigating molecular orbitals with submolecular precision on pristine sites and single atomic vacancies of monolayer h-BN

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Nano research 2020年第8期13卷 2233-2238页

作者： Liwei Liu Thomas Dienel Gino Günzburger Teng Zhang Zeping Huang Cong Wang Roland Widmer Wei Ji Yeliang Wang Oliver Gröning School of Information and Electronics MIIT Key Laboratory for Low-Dimensional Quantum Structure and DevicesBeijing Institute of TechnologyBeijing100081China Empa Swiss Federal Laboratories for Materials Science and TechnologyDuebendorfCH-8600Switzerland Department of Materials Science and Engineering Cornell University and NSF-MIP Platform for the Accelerated RealizationAnalysisand Discovery of Interface Materials(PARADIM)IthacaNY14853USA Department of Physics and Beijing Key Laboratory of Optoelectronic Functional Materials&Micro-nano devices Renmin University of ChinaBeijing100872China

Understanding the influence of adsorption sites to the electronic properties of adsorbed molecules on two-dimensional(2D)ultrathin insulator is of essential importance for future organic-inorganic hybrid ***,the adsorption and electronic states of manganese phthalocyanine(MnPc)on a single layer of hexagonal boron nitride(h-BN)have been comprehensively studied by low-temperature scanning tunneling microscopy/spectroscopy and tight binding *** frontier orbitals of the MnPc can change drastically by reversible manipulation of individual MnPc molecules onto and away from the single atomic vacancies at the h-BN ***,the change of the molecular electronic configuration can be controlled depending on whether the atomic vacancy is below the metal center or the ligand of the *** findings give new insight into defect-engineering of the organic-inorganic hybrid nanodevices down to submolecular level.

关键词： hexagonal boron nitride phthalocyanine single atomic vacancy molecular orbital scanning tunneling microscopy

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一个迭式高电容存储器

电子器件 1980年第S1期 82-86页

作者： KunichiOhta,Kunio.Yamada,Manzoh,HiroyukiShiraki,AkitomoNakamura,KyozoShimizu,YasuoTaruiVLSI,陈德英 Technology research Association Cooperative laboratories Kawasaki Japan Technology research Association Cooperative laboratories Kawasaki Japan Technology research Association Cooperative laboratories Kawasaki Japan Technology research Association Cooperative laboratories Kawasaki Japan Technology research Association Cooperative laboratories Kawasaki Japan Technology research Association Cooperative laboratories Kawasaki Japan Technology research Association Cooperative laboratories Kawasaki Japan

本文讨论一种动态存储器结构,它能组成1M位VLSI的10×10mm2存储器芯片采用常规光刻,其光刻尺寸为2u以下。图1给出了2位单管单容存储器单元的结构。该存储器单元由一个四层自对准（QSA）MOSFET,一个钽氧化物的迭式高存储电容,一条多晶... 详细信息

本文讨论一种动态存储器结构,它能组成1M位VLSI的10×10mm2存储器芯片采用常规光刻,其光刻尺寸为2u以下。图1给出了2位单管单容存储器单元的结构。该存储器单元由一个四层自对准（QSA）MOSFET,一个钽氧化物的迭式高存储电容,一条多晶硅字线和一条Al位线所组成。

关键词： Ta 二工 MOS

Fingerprint Agreement Using Enhanced Kerberos Authentication Protocol on M-Health

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Computer Systems Science & Engineering 2022年第11期43卷 833-847页

作者： A.S.Anakath S.Ambika S.Rajakumar R.Kannadasan K.S.Sendhil Kumar School of Computing E.G.S.Pillay Engineering CollegeNagapattinam611002India Department of Computer Science and Engineering University College of Engineering AriyalurAriyalur621705India Department of Mathematics University College of Engineering AriyalurAriyalur621705India Department of Software Systems School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014India Department of iot School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014India

Cloud computing becomes an important application development platform for processing user data with high *** providers are accustomed to providing storage centers outside the trusted location preferred by the data ***,ensuring the security and confidentiality of the data while processing in the centralized network is very *** secured key transmission between the sender and the receiver in the network is a huge challenge in managing most of the sensitive data transmission among the cloud *** are very active over the network like real authenticated user to hack the personal sensitive data,such as bank balance,health data,personal data,and confidential documents over the cloud *** this research,a secured key agreement between the sender and the receiver using Kerberos authentication protocol with fingerprint is proposed to ensure security in *** of patients are monitored using wireless sensor devices and are then transferred to the *** protocol helps in avoiding unnecessary communication of authenticated data over the cloud *** security process is a procedure with the best security in most of the authentication *** node is responsible in carrying data packets from the sender to the receiver in the cloud *** Kerberos protocol is used in trust node to ensure *** communication between the local health center and the healthcare server is ensured by using a fingerprint feature called minutiae form,which refers to the fingerprint image of both sender and *** computational and communicational cost of the proposed system is lesser when compared with other existing authentication methods.

关键词： Protocol security m-health cloud computing biometric fingerprint kerberos protocol

Electromyogram Based Personal Recognition Using Attention Mechanism for iot Security

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Computers, Materials & Continua 2023年第11期77卷 1663-1678页

作者： Jin Su Kim Sungbum Pan IT research Institute Chosun UniversityGwang-Ju61452Korea

As Internet of Things(iot)technology develops,integrating network functions into diverse equipment introduces new challenges,particularly in dealing with counterfeit *** the past few decades,research efforts have focused on leveraging electromyogram(EMG)for personal recognition,aiming to address security ***,obtaining consistent EMG signals from the same individual is inherently challenging,resulting in data irregularity issues and consequently decreasing the accuracy of personal ***,conventional studies in EMG-based personal recognition have overlooked the issue of data *** paper proposes an innovative approach to personal recognition that combines a siamese fusion network with an auxiliary classifier,effectively mitigating the impact of data irregularities in EMG-based *** proposed method employs empirical mode decomposition(EMD)to extract distinctive *** model comprises two sub-networks designed to follow the siamese network architecture and a decision network integrated with the novel auxiliary classifier,specifically designed to address data *** two sub-networks sharing a weight calculate the compatibility *** auxiliary classifier collaborates with a neural network to implement an attention *** attention mechanism using the auxiliary classifier solves the data irregularity problem by improving the importance of the EMG gesture *** results validated the efficacy of the proposed personal recognition method,achieving a remarkable 94.35%accuracy involving 100 subjects from the multisession CU_sEMG database(DB).This performance outperforms the existing approaches by 3%,employing auxiliary ***,an additional experiment yielded an improvement of over 0.85%of Ninapro DB,3%of CU_sEMG DB compared to the existing EMG-based recognition ***,the proposed personal recognition using EMG proves to secure iot devices,off

关键词： Personal recognition electromyogram siamese network auxiliary classifier

MOF-Like 3D Graphene-Based Catalytic Membrane Fabricated by One-Step Laser Scribing for Robust Water Purification and Green Energy Production

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Nano-Micro Letters 2022年第11期14卷 48-61页

作者： Xinyu Huang Liheng Li Shuaifei Zhao Lei Tong Zheng Li Zhuiri Peng Runfeng Lin Li Zhou Chang Peng Kan-Hao Xue Lijuan Chen Gary J.Cheng Zhu Xiong Lei Ye School of Optical and Electronic Information and Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China Hubei Yangtze Memory laboratories Wuhan 430205People’s Republic of China Institute for Frontier Materials Deakin UniversityGeelongVIC 3216Australia Key Laboratory of New Processing Technology for Nonferrous Metal and Materials(Ministry of Education) Guangxi Key Laboratory of Optical and Electronic Materials and DevicesCollege of Materials Science and EngineeringGuilin University of TechnologyGuilin 541004People’s Republic of China College of Chemistry and Materials Science Hunan Agricultural UniversityHunan 410128People’s Republic of China School of Material Science and Engineering Hunan University of Science and TechnologyXiangtanHunan ProvincePeople’s Republic of China School of Industrial Engineering and Birck Nanotechnology Centre Purdue UniversityWest LafayetteIN 47907USA Institute of Environmental research at Greater Bay Key Laboratory for Water Quality and Conservation of the Pearl River DeltaMinistry of EducationGuangzhou UniversityGuangzhou 510006GuangdongPeople’s Republic of China

Increasing both clean water and green energy demands for survival and development are the grand challenges of our ***,we successfully fabricate a novel multifunctional 3D graphene-based catalytic membrane(3D-GCM)with active metal nanoparticles(AMNs)loading for simultaneously obtaining the water purification and clean energy generation,via a“green”one-step laser scribing *** as-prepared 3D-GCM shows high porosity and uniform distribution with AMNs,which exhibits high permeated fluxes(over 100 L m^(−2) h^(−1))and versatile super-adsorption capacities for the removal of tricky organic pollutants from wastewater under ultra-low pressure-driving(0.1 bar).After adsorption saturating,the AMNs in 3D-GCM actuates the advanced oxidization process to self-clean the fouled membrane via the catalysis,and restores the adsorption capacity well for the next time membrane *** importantly,the 3D-GCM with the welding of laser scribing overcomes the lateral shear force damaging during the long-term ***,the 3D-GCM could emit plentiful of hot electrons from AMNs under light irradiation,realizing the membrane catalytic hydrolysis reactions for hydrogen energy ***“green”precision manufacturing with laser scribing technology provides a feasible technology to fabricate high-efficient and robust 3D-GCM microreactor in the tricky wastewater purification and sustainable clean energy production as well.

关键词： 3D graphene Laser scribing Catalytic membrane Water purification Hydrogen production

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Federated Learning on Internet of Things:Extensive and Systematic Review

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Computers, Materials & Continua 2024年第5期79卷 1795-1834页

作者： Meenakshi Aggarwal Vikas Khullar Sunita Rani Thomas AndréProla Shyama Barna Bhattacharjee Sarowar Morshed Shawon Nitin Goyal Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpuraPunjab140401India Department of CSE&IT BPS Mahila VishwavidyalayaKhanpur KalanSonipatHaryana131305India Engineering research&Innovation Group Universidad Europea del AtlánticoC/Isabel Torres 21Santander39011Spain Department of Project Management Universidad Internacional IberoamericanaAreciboPR00613USA Department of Project Management Universidade Internacional do CuanzaEstrada Nacional 250Bairro KaluapandaCuito-BiéAngola Department of Computer Science and Engineering University of Science and Technology Chittagong(USTC)Chattogram4202Bangladesh Deptartment of EEE University of Science and Technology Chittagong(USTC)Chattogram4202Bangladesh Department of Computer Science and Engineering School of Engineering and TechnologyCentral University of HaryanaMahendragarhHaryana123031India

The proliferation of iot devices requires innovative approaches to gaining insights while preserving privacy and resources amid unprecedented data ***,FL development for iot is still in its infancy and needs to be explored in various areas to understand the key challenges for deployment in real-world *** paper systematically reviewed the available literature using the PRISMA guiding *** study aims to provide a detailed overview of the increasing use of FL in iot networks,including the architecture and challenges.A systematic review approach is used to collect,categorize and analyze FL-iot-based *** was performed in the IEEE,Elsevier,Arxiv,ACM,and WOS databases and 92 articles were finally *** measures were published in English and with the keywords“FL”and“iot”.The methodology begins with an overview of recent advances in FL and the iot,followed by a discussion of how these two technologies can be *** be more specific,we examine and evaluate the capabilities of FL by talking about communication protocols,frameworks and *** then present a comprehensive analysis of the use of FL in a number of key iot applications,including smart healthcare,smart transportation,smart cities,smart industry,smart finance,and smart *** key findings from this analysis of FL iot services and applications are also ***,we performed a comparative analysis with FL IID(independent and identical data)and non-ID,traditional centralized deep learning(DL)*** concluded that FL has better performance,especially in terms of privacy protection and resource *** is excellent for preserving privacy becausemodel training takes place on individual devices or edge nodes,eliminating the need for centralized data aggregation,which poses significant privacy *** facilitate development in this rapidly evolving field,the insights presented are intended to help practitioners and re

关键词： Internet of Things federated learning PRISMA framework of FL applications of FL data privacy communication

Security and Privacy Challenges in SDN-Enabled iot Systems: Causes, Proposed Solutions,and Future Directions

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Computers, Materials & Continua 2024年第8期80卷 2511-2533页

作者： Ahmad Rahdari Ahmad Jalili Mehdi Esnaashari Mehdi Gheisari Alisa A.Vorobeva Zhaoxi Fang Panjun Sun Viktoriia M.Korzhuk Ilya Popov Zongda Wu Hamid Tahaei Institute of Artificial Intelligence Shaoxing UniversityShaoxing312000China Department of Computer Engineering Gonbad Kavous UniversityGonbad-e Kavus49717-99151Iran Faculty of Computer Engineering K.N.Toosi University of TechnologyTehran196976-4499Iran Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai602105India Secure Information Technologies Department National Research University ITMOSt.Petersburg197101Russia School of Electrical and Computer Engineering Shiraz UniversityShiraz71946–84334Iran Department of Computer Science and Engineering Islamic Azad UniversityDamavand***Iran Department of R&D Shenzhen BKD Co.Ltd.Shenzhen518000China

Software-Defined Networking(SDN)represents a significant paradigm shift in network architecture,separating network logic from the underlying forwarding devices to enhance flexibility and centralize ***-rently,the Internet of Things(iot)connects numerous devices to the Internet,enabling autonomous interactions with minimal human ***,implementing and managing an SDN-iot system is inherently complex,particularly for those with limited resources,as the dynamic and distributed nature of iot infrastructures creates security and privacy challenges during SDN *** findings of this study underscore the primary security and privacy challenges across application,control,and data planes.A comprehensive review evaluates the root causes of these challenges and the defense techniques employed in prior works to establish sufficient secrecy and privacy *** investigations have explored cutting-edge methods,such as leveraging blockchain for transaction recording to enhance security and privacy,along with applying machine learning and deep learning approaches to identify and mitigate the impacts of Denial of Service(DoS)and Distributed DoS(DDoS)***,the analysis indicates that encryption and hashing techniques are prevalent in the data plane,whereas access control and certificate authorization are prominently considered in the control plane,and authentication is commonly employed within the application ***,this paper outlines future directions,offering insights into potential strategies and technological advancements aimed at fostering a more secure and privacy-conscious SDN-based iot ecosystem.

关键词： Security privacy-preserving software-defined network internet of things

Nonlinear optics on silicon-rich nitride--a high nonlinear figure of merit CMOS platform[Invited]

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Photonics research 2018年第5期6卷 I0075-I0091页

作者： D.T.H.TAN K.J.A.OoI D.K.T.NG Photonics devices and Systems Group Singapore University of Technology and Design8 Somapah Rd.Singapore 487372Singapore Data Storage Institute Agency for ScienceTechnology and Research(A*STAR)2 Fusionopolis Way#08-01 InnovisSingapore 138634Singapore

CMOS platforms with a high nonlinear figure of merit are highly sought after for high photonic quantum efficiencies, enabling functionalities not possible from purely linear effects and ease of integration with CMOS electronics. Silicon-based platforms have been prolific amongst the suite of advanced nonlinear optical signal processes demonstrated to date. These include crystalline silicon, amorphous silicon, Hydex glass, and stoichiometric silicon nitride. Residing between stoichiometric silicon nitride and amorphous silicon in composition,silicon-rich nitride films of various formulations have emerged recently as promising nonlinear platforms for high nonlinear figure of merit nonlinear optics. Silicon-rich nitride films are compositionally engineered to create bandgaps that are sufficiently large to eliminate two-photon absorption at telecommunications wavelengths while enabling much larger nonlinear waveguide parameters(5 x–500 x) than those in stoichiometric silicon nitride. This paper reviews recent developments in the field of nonlinear optics using silicon-rich nitride platforms, as well as the outlook and future opportunities in this burgeoning field.

关键词： Invited Nonlinear optics on silicon-rich nitride a high nonlinear figure of merit CMOS platform

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Co-occurrence prediction in a large location-based social network

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Frontiers of Computer Science 2013年第2期7卷 185-194页

作者： Rong-Hua LI Jianquan LIU Jeffrey Xu YU Hanxiong CHEN Hiroyuki KITAGAWA Department of System Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong China Faculty of Engineering Information and systems University of TsukubaJapan Ibaraki 305-8577 Cloud System research laboratories NEC CorporationJapan Tokyo 108-8001

Location-based social network （LBSN） is at the forefront of emerging trends in social network services （SNS） since the users in LBSN are allowed to ＂check-in＂ the places （locations） when they visit them. The accurate geographi- cal and temporal information of these check-in actions are provided by the end-user GPS-enabled mobile devices, and recorded by the LBSN system. In this paper, we analyze and mine a big LBSN data, Gowalla, collected by us. First, we investigate the relationship between the spatio-temporal co- occurrences and social ties, and the results show that the co- occurrences are strongly correlative with the social ties. Sec- ond, we present a study of predicting two users whether or not they will meet （co-occur） at a place in a given future time, by exploring their check-in habits. In particular, we first intro- duce two new concepts, bag-of-location and bag-of-time-lag, to characterize user＇s check-in habits. Based on such bag rep- resentations, we define a similarity metric called habits sim- ilarity to measure the similarity between two users＇ check-in habits. Then we propose a machine !earning formula for pre- dicting co-occurrence based on the social ties and habits sim- ilarities. Finally, we conduct extensive experiments on our dataset, and the results demonstrate the effectiveness of the proposed method.

关键词： location-based social networks Gowalla co-occurrence