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SMEC:Scene Mining for E-Commerce

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Journal of computer science & Technology 2024年第1期39卷 192-210页

作者：王罡李翔郭子义殷大伟马帅 state key laboratory of software development environment Beihang UniversityBeijing 100191China school of Data science and engineering East China Normal UniversityShanghai 200062China *** Inc.Beijing 100176China Baidu Inc.Beijing 100085China

Scene-based recommendation has proven its usefulness in E-commerce,by recommending commodities based on a given ***,scenes are typically unknown in advance,which necessitates scene discovery for *** this article,we study scene discovery for E-commerce *** first formalize a scene as a set of commodity cate-gories that occur simultaneously and frequently in real-world situations,and model an E-commerce platform as a heteroge-neous information network(HIN),whose nodes and links represent different types of objects and different types of rela-tionships between objects,*** then formulate the scene mining problem for E-commerce as an unsupervised learning problem that finds the overlapping clusters of commodity categories in the *** solve the problem,we pro-pose a non-negative matrix factorization based method SMEC(Scene Mining for E-Commerce),and theoretically prove its *** six real-world E-commerce datasets,we finally conduct an extensive experimental study to evaluate SMEC against 13 other methods,and show that SMEC consistently outperforms its competitors with regard to various evaluation measures.

关键词： graph clustering E-commerce heterogeneous information network(HIN) scene mining

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安全操作系统中的安全管理增强功能

计算机科学 2004年第1期31卷 165-169页

作者：郭玮茅兵谢立南京大学计算机软件新技术国家重点实验室南京210093

针对一般操作系统在自保护和管理控制机制薄弱方面的缺陷,本文介绍了由笔者等设计开发的一个基于特权分化模型PDM(Privilege-Divided Model),该模型依据最小特权原则,将原有系统中超级用户的特权集合加以细分,由多个管理员取代单个超级... 详细信息

针对一般操作系统在自保护和管理控制机制薄弱方面的缺陷,本文介绍了由笔者等设计开发的一个基于特权分化模型PDM(Privilege-Divided Model),该模型依据最小特权原则,将原有系统中超级用户的特权集合加以细分,由多个管理员取代单个超级用户,同时采用了Capability机制和引进了Voting机制。最后介绍了在安全增强操作系统SoftOS上从管理层到核心层的特权细化实现工作。

关键词：安全操作系统 Capability机制 Voting机制网络安全 linux操作系统服务器

Knowledge-guided machine learning reveals pivotal drivers for gasto-particle conversion of atmospheric nitrate

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environmental science and Ecotechnology 2024年第3期19卷 100-108页

作者： Bo Xu Haofei Yu Zongbo Shi Jinxing liu Yuting wei Zhongcheng Zhang Yanqi Huangfu Han Xu Yue li linlin Zhang Yinchang Feng Guoliang Shi state environmental Protection key laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin Key Laboratory of Urban Transport Emission ResearchCollege of Environmental Science and EngineeringNankai UniversityTianjin300350China CMA-NKU Cooperative laboratory for Atmospheric environment-Health Research(CLAER) College of Environmental Science and EngineeringNankai UniversityTianjin300350China Department of Civil Environmentaland Construction EngineeringUniversity of Central FloridaOrlandoFLUSA school of Geography Earth and environment sciences University of BirminghamBirminghamB152TTUK state key laboratory of Precision Measuring Technology and Instruments Tianjin Key Laboratory of air Pollutants Monitoring TechnologySchool of Precision Instrument and Opto-electronics EngineeringTianjin UniversityTianjin300072China Gigantic Technology(Tianjin)Co. LtdTianjin300072China College of computer science Nankai UniversityTianjin300350China china National environmental Monitoring Centre Beijing100012China

Particulate nitrate,a key component of fine particles,forms through the intricate gas-to-particle conversion *** process is regulated by the gas-to-particle conversion coefficient of nitrate(ε(NO_(3)^(-))).The mechanism betweenε(NO_(3)^(-))and its drivers is highly complex and nonlinear,and can be characterized by machine learning ***,conventional machine learning often yields results that lack clear physical meaning and may even contradict established physical/chemical mechanisms due to the influence of ambient *** urgently needs an alternative approach that possesses transparent physical interpretations and provides deeper insights into the impact ofε(NO_(3)^(-)).Here we introduce a supervised machine learning approachdthe multilevel nested random forest guided by theory *** approach robustly identifies NH4 t,SO_(4)^(2-),and temperature as pivotal drivers forε(NO_(3)^(-)).Notably,substantial disparities exist between the outcomes of traditional random forest analysis and the anticipated actual ***,our approach underscores the significance of NH4 t during both daytime(30%)and nighttime(40%)periods,while appropriately downplaying the influence of some less relevant drivers in comparison to conventional random forest *** research underscores the transformative potential of integrating domain knowledge with machine learning in atmospheric studies.

关键词： Machine learning Data driven Theoretical approach Domain knowledge Guide

A Novel Observer-based Output Feedback Sliding Mode Control for Uncertain Discrete-time Systems

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A Novel Observer-based Output Feedback Sliding Mode Control ...

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

第二十六届中国控制会议

作者： li Juntao1,Jia Yingmin1,Du Junping2,Yu Fashan3 1.The Seventh Research Division,beihang university (BUAA),beijing 100083,P.R.china2.beijing key laboratory of Intelligent Telecommunications software and Multimedia,school of computer science and Technology,beijing university of Posts and Telecommunications,beijing 100876,P.R.china3.school of Electrical engineering and Automation,Henan Polytechnic university,Jiaozuo 454000,Henan,P.R.china

This paper is devoted to the problem of output feedback sliding mode control for uncertain discrete-time *** this end,a hybrid state and disturbance observer is proposed,and the corresponding observation errors are *** on the observed states and disturbances,an output feedback controller is designed to achieve quasi sliding mode,in which the matching and linear boundary conditions for uncertainties are removed.A numerical example is included to illustrate the obtained results.

关键词： Sliding mode control Output feedback Discrete-time systems Observer Chattering

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 58-73页

作者： Qingsong Zhao Lei Shu Kailiang li Mohamed Amine Ferrag Ximeng liu Yanbin li the College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210031 the state key laboratory for Novel software Technology Nanjing UniversityNanjing 210023 the state key laboratory of Cryptology Beijing 100878China IEEE the school of engineering University of LincolnLincoln LN67TSUK the Artificial Intelligence and Digital science Research Center Technology Innovation InstituteMasdar City 9639UAE the College of computer and Data science Fuzhou UniversityFuzhou 350108China

Solar insecticidal lamps(SIL) can effectively control pests and reduce the use of pesticides. Combining SIL and Internet of Things(IoT) has formed a new type of agricultural IoT,known as SIL-IoT, which can improve the effectiveness of migratory phototropic pest control. However, since the SIL is connected to the Internet, it is vulnerable to various security *** 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 requirements of SIL-IoT we divide them into six categories, namely privacy, 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.

关键词： Challenges Internet of Things(IoT) privacy and security security requirements solar insecticidal lamps(SIL)

Information-Theoretic Analysis for the Difficulty of Extracting Hidden Information

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Information-Theoretic Analysis for the Difficulty of Extract...

The 1st Chinese Conference on Trusted Computing and Information Security

作者： ZHANG wei-ming, li Shi-qu, CAO Jia, liU Jiu-fen Department of Information Research, Information engineering university,Zhengzhou 450002, Henan, china state key laboratory of Information Security, (Graduate school of the Chinese Academy sciences), beijing 100039, china

＜正＞ The difficulty of extracting hidden information, which is essentially a kind of secrecy, is analyzed by information-theoretic method. The relations between key rate, message rate, hiding capacity and difficulty of extraction are studied in the terms of unicity distance of stego-key, and the theoretic conclusion is used to analyze the actual extracting attack on Least Significant Bit（LSB） steganographic algorithms.

关键词： information hiding steganography extracting attack difficulty of extraction unicity distance

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基于云模型的不确定性知识表示

计算机工程与应用 2004年第2期40卷 32-35页

作者：刘常昱李德毅潘莉莉解放军理工大学通信工程学院中国电子系统工程研究所北京100039 清华大学软件学院北京100084

云模型是用语言值表示的定性概念与其定量表示之间的不确定性转换模型,论文通过对云模型数学性质的研究,分析云模型的产生背景,证明其表示不确定性知识的合理性和有效性,最后给出了一个应用实例。

关键词：云模型不确定性知识表示

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密码协议的一种基于组合推理的模型验证

通信学报 2003年第9期24卷 122-127页

作者：刘怡文李伟琴冯登国北京航空航天大学计算机科学与工程系北京100083 中科院软件所信息安全国家重点实验室北京100080

将密码协议与协议中用到的密码算法视为一个系统,基于组合推理技术建立了密码协议系统的形式化模型。采用基于假设/保证的组合推理技术提出了新的假设/保证推理规则和假设/保证推理算法,证明了该规则的正确性,实现了密码协议系统的模型... 详细信息

将密码协议与协议中用到的密码算法视为一个系统,基于组合推理技术建立了密码协议系统的形式化模型。采用基于假设/保证的组合推理技术提出了新的假设/保证推理规则和假设/保证推理算法,证明了该规则的正确性,实现了密码协议系统的模型验证,并重点解决了系统分解问题、假设函数的设定问题等难题。以kerberos v5密码协议系统为例,利用该组合推理技术对密码协议系统进行了安全验证。

关键词：密码协议形式化模型组合推理模型检查

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数据库管理系统的入侵容忍技术研究进展

计算机科学 2004年第4期31卷 14-18页

作者：陈伟鹤殷新春谢立南京大学计算机软件新技术国家重点实验室南京210093 南京大学计算机科学与技术系南京210093

传统数据库安全的研究重点是如何防止非授权用户对数据库的恶意干扰和破坏,事实上根本无法阻止所有的攻击。因此,在信息战语义下,更为紧迫的是如何找到有效的措施来缓解或消除恶意用户的攻击,而入侵容忍(即抗恶意用户攻击和攻击后DBMS... 详细信息

传统数据库安全的研究重点是如何防止非授权用户对数据库的恶意干扰和破坏,事实上根本无法阻止所有的攻击。因此,在信息战语义下,更为紧迫的是如何找到有效的措施来缓解或消除恶意用户的攻击,而入侵容忍(即抗恶意用户攻击和攻击后DBMS的恢复能力)是数据库安全最为重要的。本文概述了信息战中数据库入侵容忍技术研究的现状,指出了目前存在的问题和未来的研究方向。

关键词：数据库管理系统入侵容忍技术应用程序数据库系统